{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cell-001",
   "metadata": {},
   "source": [
    "# Getting Started with Kompot\n",
    "\n",
    "**Kompot** finds genes whose expression changes between two conditions at\n",
    "single-cell resolution. It fits Gaussian-process models over a continuous\n",
    "cell-state representation and scores each gene with a **Mahalanobis distance**\n",
    "that accounts for expression covariance, so it detects coordinated, trajectory-aware\n",
    "changes that per-cluster tests miss.\n",
    "\n",
    "This front-door tutorial runs **differential expression (DE)** end to end and\n",
    "visualizes the result. The method and its derivation live in the\n",
    "[paper](https://www.biorxiv.org/content/10.1101/2025.06.03.657769).\n",
    "\n",
    "**Dive deeper:**\n",
    "[Advanced DE options](./02_differential_expression_detailed.ipynb) \u00b7\n",
    "[DE with sample variance](./03_sample_variance.ipynb) \u00b7\n",
    "[Differential abundance](./04_differential_abundance.ipynb)\n",
    "\n",
    "We compare bone marrow from **Young vs. Old** mice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cell-002",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:53:25.913149Z",
     "iopub.status.busy": "2026-07-11T00:53:25.912771Z",
     "iopub.status.idle": "2026-07-11T00:53:39.485236Z",
     "shell.execute_reply": "2026-07-11T00:53:39.484296Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import anndata as ad\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import palantir\n",
    "import pandas as pd\n",
    "import scanpy as sc\n",
    "\n",
    "import kompot\n",
    "\n",
    "# Consistent, clean plotting style across the tutorial set\n",
    "plt.rcParams[\"axes.spines.right\"] = False\n",
    "plt.rcParams[\"axes.spines.top\"] = False\n",
    "plt.rcParams[\"image.cmap\"] = \"Spectral_r\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-003",
   "metadata": {},
   "source": [
    "## Configuration\n",
    "\n",
    "Everything you would adapt for your own data lives here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cell-004",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:53:39.489349Z",
     "iopub.status.busy": "2026-07-11T00:53:39.488709Z",
     "iopub.status.idle": "2026-07-11T00:53:39.493745Z",
     "shell.execute_reply": "2026-07-11T00:53:39.492626Z"
    }
   },
   "outputs": [],
   "source": [
    "DATA_PATH = \"../data/murine_bone_marrow_aging.h5ad\"\n",
    "GROUPING_COLUMN = \"Age\"                 # condition column in adata.obs\n",
    "CONDITIONS = [\"Young\", \"Old\"]           # first entry is the reference\n",
    "CELL_TYPE_COLUMN = \"highres_celltype\"   # for visualization only\n",
    "DIMENSIONALITY_REDUCTION = \"DM_EigenVectors\"  # cell-state representation\n",
    "LAYER_FOR_EXPRESSION = \"logged_counts\"        # expression layer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-005",
   "metadata": {},
   "source": [
    "## Load Data\n",
    "\n",
    "The dataset downloads automatically from Zenodo on first run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cell-006",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:53:39.496296Z",
     "iopub.status.busy": "2026-07-11T00:53:39.495894Z",
     "iopub.status.idle": "2026-07-11T00:54:47.928266Z",
     "shell.execute_reply": "2026-07-11T00:54:47.926464Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs \u00d7 n_vars = 8090 \u00d7 16285\n",
       "    obs: 'Compartment', 'Replicate', 'Age', 'Sample', 'Info', 'batch', 'doublet_score', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'total_counts_hb', 'pct_counts_hb', 'S_score', 'G2M_score', 'phase', 'leiden', 'phenograph', 'highres_celltype', 'midres_celltype'\n",
       "    var: 'gene_ids', 'feature_types', 'genome', 'mt', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts', 'hb', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection'\n",
       "    uns: 'Age_colors', 'Compartment_colors', 'DMEigenValues', 'DM_EigenValues', 'Info_colors', 'README', 'Replicate_colors', 'Sample_colors', 'batch_colors', 'draw_graph', 'highres_celltype_colors', 'hvg', 'leiden', 'leiden_colors', 'midres_celltype_colors', 'neighbors', 'pca', 'phase_colors', 'umap'\n",
       "    obsm: 'AbCapture', 'DM_EigenVectors', 'HTO', 'X_draw_graph_fa', 'X_pca', 'X_pca_harmony', 'X_pca_noregression', 'X_umap'\n",
       "    varm: 'PCs'\n",
       "    layers: 'MAGIC_imputed_data', 'cc_counts', 'logged_counts', 'normalized_counts', 'raw_counts'\n",
       "    obsp: 'DM_Kernel', 'DM_Similarity', 'connectivities', 'distances'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "from pathlib import Path\n",
    "\n",
    "import requests\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "Path(DATA_PATH).parent.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "if not os.path.exists(DATA_PATH):\n",
    "    print(\"Downloading dataset (~2.4 GB) from Zenodo ...\")\n",
    "    url = \"https://zenodo.org/records/15587768/files/murine_bone_marrow_aging.h5ad?download=1\"\n",
    "    response = requests.get(url, stream=True)\n",
    "    total = int(response.headers.get(\"content-length\", 0))\n",
    "    with open(DATA_PATH, \"wb\") as file, tqdm(total=total, unit=\"B\", unit_scale=True) as bar:\n",
    "        for chunk in response.iter_content(chunk_size=1 << 20):\n",
    "            file.write(chunk)\n",
    "            bar.update(len(chunk))\n",
    "\n",
    "adata = ad.read_h5ad(DATA_PATH)\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-007",
   "metadata": {},
   "source": [
    "A quick look at the cell types and the two conditions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cell-008",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:54:47.932204Z",
     "iopub.status.busy": "2026-07-11T00:54:47.931681Z",
     "iopub.status.idle": "2026-07-11T00:54:48.714860Z",
     "shell.execute_reply": "2026-07-11T00:54:48.713554Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1840x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, color=[CELL_TYPE_COLUMN, GROUPING_COLUMN], frameon=False, wspace=1.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-009",
   "metadata": {},
   "source": [
    "Kompot needs a **continuous** cell-state representation.\n",
    "[Palantir diffusion maps](https://github.com/dpeerlab/Palantir) capture the geometry\n",
    "of differentiation while denoising:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cell-010",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:54:48.718604Z",
     "iopub.status.busy": "2026-07-11T00:54:48.718335Z",
     "iopub.status.idle": "2026-07-11T00:55:01.693553Z",
     "shell.execute_reply": "2026-07-11T00:55:01.692418Z"
    }
   },
   "outputs": [],
   "source": [
    "palantir.utils.run_diffusion_maps(adata, pca_key=\"X_pca_harmony\", n_components=40);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-011",
   "metadata": {},
   "source": [
    "## Differential Expression\n",
    "\n",
    "One call fits the models, scores every gene, and calibrates an FDR against a null\n",
    "of shuffled genes. See [kompot.de](https://kompot.readthedocs.io/en/latest/simplified.html#kompot.de)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cell-012",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:55:01.697391Z",
     "iopub.status.busy": "2026-07-11T00:55:01.697170Z",
     "iopub.status.idle": "2026-07-11T00:56:49.054596Z",
     "shell.execute_reply": "2026-07-11T00:56:49.053209Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:55:01,796] [INFO    ] Condition 1 (Young): 2,917 cells\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:55:01,796] [INFO    ] Condition 2 (Old): 3,116 cells\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:55:06,585] [INFO    ] Fitting expression estimator for condition 1...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:55:34,589] [INFO    ] Fitting expression estimator for condition 2...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:41,559] [INFO    ] FDR analysis complete: 192/16285 genes significantly DE at FDR < 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:41,561] [INFO    ] Mahalanobis distance threshold for FDR < 0.05: 5.8215\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:48,460] [INFO    ] This run will have `run_id=0`.\n"
     ]
    }
   ],
   "source": [
    "de_results = kompot.de(\n",
    "    adata,\n",
    "    groupby=GROUPING_COLUMN,\n",
    "    condition1=CONDITIONS[0],\n",
    "    condition2=CONDITIONS[1],\n",
    "    layer=LAYER_FOR_EXPRESSION,\n",
    "    obsm_key=DIMENSIONALITY_REDUCTION,\n",
    "    gp=kompot.GPSettings(batch_size=0),  # 0 = all cells at once; raise for lower memory\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-013",
   "metadata": {},
   "source": [
    "Results land in `adata.var`. The key columns (for `Young`\u2192`Old`):\n",
    "\n",
    "- `kompot_de_Young_to_Old_mean_lfc` \u2014 mean log fold change\n",
    "- `kompot_de_Young_to_Old_mahalanobis` \u2014 significance (higher = stronger)\n",
    "- `kompot_de_Young_to_Old_is_de` \u2014 significant at FDR < 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cell-014",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:49.057353Z",
     "iopub.status.busy": "2026-07-11T00:56:49.056946Z",
     "iopub.status.idle": "2026-07-11T00:56:49.076333Z",
     "shell.execute_reply": "2026-07-11T00:56:49.075192Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>kompot_de_Young_to_Old_mahalanobis</th>\n",
       "      <th>kompot_de_Young_to_Old_mean_lfc</th>\n",
       "      <th>kompot_de_Young_to_Old_mahalanobis_local_fdr</th>\n",
       "      <th>kompot_de_Young_to_Old_is_de</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>H2-Q7</th>\n",
       "      <td>15.224920</td>\n",
       "      <td>0.371810</td>\n",
       "      <td>1.283086e-141</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cd74</th>\n",
       "      <td>12.781286</td>\n",
       "      <td>0.105968</td>\n",
       "      <td>1.641235e-80</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H2-Aa</th>\n",
       "      <td>12.641082</td>\n",
       "      <td>0.142574</td>\n",
       "      <td>2.138046e-77</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H2-Ab1</th>\n",
       "      <td>12.307942</td>\n",
       "      <td>0.153822</td>\n",
       "      <td>1.587455e-70</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Igkc</th>\n",
       "      <td>11.416240</td>\n",
       "      <td>0.016244</td>\n",
       "      <td>1.449789e-53</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H2-Eb1</th>\n",
       "      <td>11.371004</td>\n",
       "      <td>0.123908</td>\n",
       "      <td>8.317497e-53</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AW112010</th>\n",
       "      <td>11.366238</td>\n",
       "      <td>0.238251</td>\n",
       "      <td>1.114925e-52</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S100a9</th>\n",
       "      <td>10.385744</td>\n",
       "      <td>-0.051261</td>\n",
       "      <td>5.227253e-37</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ifitm3</th>\n",
       "      <td>10.134062</td>\n",
       "      <td>0.110643</td>\n",
       "      <td>1.495802e-33</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S100a8</th>\n",
       "      <td>10.089391</td>\n",
       "      <td>-0.049699</td>\n",
       "      <td>5.666282e-33</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H2-Q6</th>\n",
       "      <td>9.790485</td>\n",
       "      <td>0.235504</td>\n",
       "      <td>4.653679e-29</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cd52</th>\n",
       "      <td>9.649612</td>\n",
       "      <td>-0.038509</td>\n",
       "      <td>2.354785e-27</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aldh1a1</th>\n",
       "      <td>9.493316</td>\n",
       "      <td>0.147759</td>\n",
       "      <td>1.680922e-25</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ifitm1</th>\n",
       "      <td>9.438788</td>\n",
       "      <td>0.128764</td>\n",
       "      <td>7.277426e-25</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ifitm2</th>\n",
       "      <td>9.357804</td>\n",
       "      <td>0.086038</td>\n",
       "      <td>5.729708e-24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ighm</th>\n",
       "      <td>9.204495</td>\n",
       "      <td>-0.052318</td>\n",
       "      <td>3.048729e-22</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cd79a</th>\n",
       "      <td>9.182240</td>\n",
       "      <td>-0.001314</td>\n",
       "      <td>5.438490e-22</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Apoe</th>\n",
       "      <td>9.142740</td>\n",
       "      <td>-0.039501</td>\n",
       "      <td>1.452210e-21</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fos</th>\n",
       "      <td>8.999856</td>\n",
       "      <td>0.159999</td>\n",
       "      <td>4.706724e-20</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gm47283</th>\n",
       "      <td>8.930669</td>\n",
       "      <td>0.188797</td>\n",
       "      <td>2.573649e-19</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          kompot_de_Young_to_Old_mahalanobis  kompot_de_Young_to_Old_mean_lfc  \\\n",
       "H2-Q7                              15.224920                         0.371810   \n",
       "Cd74                               12.781286                         0.105968   \n",
       "H2-Aa                              12.641082                         0.142574   \n",
       "H2-Ab1                             12.307942                         0.153822   \n",
       "Igkc                               11.416240                         0.016244   \n",
       "H2-Eb1                             11.371004                         0.123908   \n",
       "AW112010                           11.366238                         0.238251   \n",
       "S100a9                             10.385744                        -0.051261   \n",
       "Ifitm3                             10.134062                         0.110643   \n",
       "S100a8                             10.089391                        -0.049699   \n",
       "H2-Q6                               9.790485                         0.235504   \n",
       "Cd52                                9.649612                        -0.038509   \n",
       "Aldh1a1                             9.493316                         0.147759   \n",
       "Ifitm1                              9.438788                         0.128764   \n",
       "Ifitm2                              9.357804                         0.086038   \n",
       "Ighm                                9.204495                        -0.052318   \n",
       "Cd79a                               9.182240                        -0.001314   \n",
       "Apoe                                9.142740                        -0.039501   \n",
       "Fos                                 8.999856                         0.159999   \n",
       "Gm47283                             8.930669                         0.188797   \n",
       "\n",
       "          kompot_de_Young_to_Old_mahalanobis_local_fdr  \\\n",
       "H2-Q7                                    1.283086e-141   \n",
       "Cd74                                      1.641235e-80   \n",
       "H2-Aa                                     2.138046e-77   \n",
       "H2-Ab1                                    1.587455e-70   \n",
       "Igkc                                      1.449789e-53   \n",
       "H2-Eb1                                    8.317497e-53   \n",
       "AW112010                                  1.114925e-52   \n",
       "S100a9                                    5.227253e-37   \n",
       "Ifitm3                                    1.495802e-33   \n",
       "S100a8                                    5.666282e-33   \n",
       "H2-Q6                                     4.653679e-29   \n",
       "Cd52                                      2.354785e-27   \n",
       "Aldh1a1                                   1.680922e-25   \n",
       "Ifitm1                                    7.277426e-25   \n",
       "Ifitm2                                    5.729708e-24   \n",
       "Ighm                                      3.048729e-22   \n",
       "Cd79a                                     5.438490e-22   \n",
       "Apoe                                      1.452210e-21   \n",
       "Fos                                       4.706724e-20   \n",
       "Gm47283                                   2.573649e-19   \n",
       "\n",
       "          kompot_de_Young_to_Old_is_de  \n",
       "H2-Q7                             True  \n",
       "Cd74                              True  \n",
       "H2-Aa                             True  \n",
       "H2-Ab1                            True  \n",
       "Igkc                              True  \n",
       "H2-Eb1                            True  \n",
       "AW112010                          True  \n",
       "S100a9                            True  \n",
       "Ifitm3                            True  \n",
       "S100a8                            True  \n",
       "H2-Q6                             True  \n",
       "Cd52                              True  \n",
       "Aldh1a1                           True  \n",
       "Ifitm1                            True  \n",
       "Ifitm2                            True  \n",
       "Ighm                              True  \n",
       "Cd79a                             True  \n",
       "Apoe                              True  \n",
       "Fos                               True  \n",
       "Gm47283                           True  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c1, c2 = CONDITIONS\n",
    "mahal = f\"kompot_de_{c1}_to_{c2}_mahalanobis\"\n",
    "\n",
    "adata.var.loc[:, adata.var.columns.str.contains(\"kompot_de\")] \\\n",
    "    .sort_values(mahal, ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-015",
   "metadata": {},
   "source": [
    "### Volcano plot\n",
    "\n",
    "Effect size vs. significance, one point per gene ([volcano_de](https://kompot.readthedocs.io/en/latest/plotting.html#kompot.plot.volcano_de)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cell-016",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:49.078834Z",
     "iopub.status.busy": "2026-07-11T00:56:49.078435Z",
     "iopub.status.idle": "2026-07-11T00:56:49.420524Z",
     "shell.execute_reply": "2026-07-11T00:56:49.419461Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,080] [INFO    ] Found DE run info for run_id=-1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,081] [INFO    ] Found mean_lfc_key='kompot_de_Young_to_Old_mean_lfc' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,081] [INFO    ] Found mahalanobis_key='kompot_de_Young_to_Old_mahalanobis' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,083] [INFO    ] Successfully inferred fields: {'mean_lfc_key': 'kompot_de_Young_to_Old_mean_lfc', 'mahalanobis_key': 'kompot_de_Young_to_Old_mahalanobis'}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,084] [INFO    ] Using DE run 0: comparing Young to Old\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,095] [INFO    ] Using data columns from var - lfc: 'kompot_de_Young_to_Old_mean_lfc', score: 'kompot_de_Young_to_Old_mahalanobis'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,103] [INFO    ] Highlighting 192 genes marked as DE (109 up, 83 down)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,119] [INFO    ] Labeling top 10 genes by score\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kompot.plot.volcano_de(adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-017",
   "metadata": {},
   "source": [
    "Highlight gene sets of interest with custom colors and labels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cell-018",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:49.422824Z",
     "iopub.status.busy": "2026-07-11T00:56:49.422432Z",
     "iopub.status.idle": "2026-07-11T00:56:49.727610Z",
     "shell.execute_reply": "2026-07-11T00:56:49.726301Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,426] [INFO    ] Found DE run info for run_id=-1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,426] [INFO    ] Found mean_lfc_key='kompot_de_Young_to_Old_mean_lfc' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,427] [INFO    ] Found mahalanobis_key='kompot_de_Young_to_Old_mahalanobis' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,428] [INFO    ] Successfully inferred fields: {'mean_lfc_key': 'kompot_de_Young_to_Old_mean_lfc', 'mahalanobis_key': 'kompot_de_Young_to_Old_mahalanobis'}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,429] [INFO    ] Using DE run 0: comparing Young to Old\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,437] [INFO    ] Using data columns from var - lfc: 'kompot_de_Young_to_Old_mean_lfc', score: 'kompot_de_Young_to_Old_mahalanobis'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,440] [INFO    ] Added highlight group 'MHC class II' with 4 genes\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,441] [INFO    ] Added highlight group 'Antioxidant' with 5 genes\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,455] [INFO    ] Labeling 9 specific genes\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gene_sets = [\n",
    "    {\"name\": \"MHC class II\", \"genes\": [\"H2-Ab1\", \"H2-Aa\", \"Cd74\", \"H2-Eb1\"], \"color\": \"#E76F51\"},\n",
    "    {\"name\": \"Antioxidant\", \"genes\": [\"S100a8\", \"S100a9\", \"Mgst1\", \"Apoe\", \"Hp\"], \"color\": \"#2A9D8F\"},\n",
    "]\n",
    "# keep only genes present in this dataset\n",
    "for gs in gene_sets:\n",
    "    gs[\"genes\"] = [g for g in gs[\"genes\"] if g in adata.var_names]\n",
    "\n",
    "kompot.plot.volcano_de(\n",
    "    adata,\n",
    "    highlight_genes=gene_sets,\n",
    "    gene_labels=[g for gs in gene_sets for g in gs[\"genes\"]],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-019",
   "metadata": {},
   "source": [
    "### Where the signal sits\n",
    "\n",
    "Project a top gene's smoothed expression and fold change back onto the UMAP with [plot_gene_expression](https://kompot.readthedocs.io/en/latest/plotting.html#kompot.plot.plot_gene_expression):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cell-020",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:49.731018Z",
     "iopub.status.busy": "2026-07-11T00:56:49.730798Z",
     "iopub.status.idle": "2026-07-11T00:56:50.808464Z",
     "shell.execute_reply": "2026-07-11T00:56:50.807430Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,733] [INFO    ] Found DE run info for run_id=-1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,734] [INFO    ] Found mean_lfc_key='kompot_de_Young_to_Old_mean_lfc' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,734] [INFO    ] Found mahalanobis_key='kompot_de_Young_to_Old_mahalanobis' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,736] [INFO    ] Successfully inferred fields: {'mean_lfc_key': 'kompot_de_Young_to_Old_mean_lfc', 'mahalanobis_key': 'kompot_de_Young_to_Old_mahalanobis'}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,737] [INFO    ] Using DE run 0: comparing Young to Old\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,737] [INFO    ] Using fields for gene expression plot - lfc_key: 'kompot_de_Young_to_Old_mean_lfc', score_key: 'kompot_de_Young_to_Old_mahalanobis'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,738] [INFO    ] Using layer 'logged_counts' inferred from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,741] [INFO    ] Using smoothed layer 'kompot_de_Young_smoothed' for 'Young'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,741] [INFO    ] Using smoothed layer 'kompot_de_Old_smoothed' for 'Old'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:49,742] [INFO    ] Using fold_change layer 'kompot_de_Young_to_Old_fold_change' from run_info\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_gene = adata.var[mahal].idxmax()\n",
    "kompot.plot.plot_gene_expression(adata, gene=top_gene, frameon=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-021",
   "metadata": {},
   "source": [
    "### Fold-change heatmap\n",
    "\n",
    "The top genes summarized per cell type. `fold_change_mode=True` shows the\n",
    "log fold change directly ([heatmap](https://kompot.readthedocs.io/en/latest/plotting.html#kompot.plot.heatmap)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cell-022",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:50.815744Z",
     "iopub.status.busy": "2026-07-11T00:56:50.815529Z",
     "iopub.status.idle": "2026-07-11T00:56:52.170153Z",
     "shell.execute_reply": "2026-07-11T00:56:52.168925Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,819] [INFO    ] Inferred condition_column='Age' from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,820] [INFO    ] Inferred condition1='Young' from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,821] [INFO    ] Inferred condition2='Old' from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,821] [INFO    ] Inferred layer='logged_counts' from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,822] [INFO    ] Creating fold change heatmap with 20 genes/features\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,823] [INFO    ] Using expression data from layer: 'logged_counts'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,927] [INFO    ] Excluded 7 cells from groups: Plasma cell\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,934] [INFO    ] Applying gene-wise z-scoring (standard_scale='var')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:50,999] [WARNING ] standard_scale is ignored in fold_change_mode as z-scoring is not appropriate for fold changes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1170x750 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genes = adata.var[mahal].sort_values(ascending=False).head(20).index\n",
    "\n",
    "kompot.plot.heatmap(\n",
    "    adata,\n",
    "    genes=genes,\n",
    "    groupby=CELL_TYPE_COLUMN,\n",
    "    exclude_groups=\"Plasma cell\",   # too few cells to summarize reliably\n",
    "    vmin=\"p1\", vmax=\"p99\",          # clip color scale to 1st/99th percentile\n",
    "    fold_change_mode=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-023",
   "metadata": {},
   "source": [
    "### Fold-change dotplot\n",
    "\n",
    "The same summary with a second dimension: **color** = mean log fold change,\n",
    "**dot size** = fraction of cells expressing\n",
    "([dotplot](https://kompot.readthedocs.io/en/latest/plotting.html#kompot.plot.dotplot)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cell-024",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:52.173439Z",
     "iopub.status.busy": "2026-07-11T00:56:52.173143Z",
     "iopub.status.idle": "2026-07-11T00:56:53.342564Z",
     "shell.execute_reply": "2026-07-11T00:56:53.341540Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,176] [INFO    ] Found DE run info for run_id=-1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,177] [INFO    ] Found mahalanobis_key='kompot_de_Young_to_Old_mahalanobis' from run info\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,178] [INFO    ] Successfully inferred fields: {'mahalanobis_key': 'kompot_de_Young_to_Old_mahalanobis'}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,179] [INFO    ] Using DE run 0 for heatmap.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,179] [INFO    ] Inferred score_key='kompot_de_Young_to_Old_mahalanobis' from run information\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,184] [INFO    ] Using expression data from layer: 'kompot_de_Young_to_Old_fold_change'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:56:52,203] [INFO    ] Using expression data from adata.X\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x320 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = [c for c in adata.obs[CELL_TYPE_COLUMN].cat.categories if c != \"Plasma cell\"]\n",
    "\n",
    "kompot.plot.dotplot(\n",
    "    adata,\n",
    "    genes=None,          # auto-pick top genes by Mahalanobis\n",
    "    groupby=CELL_TYPE_COLUMN,\n",
    "    categories_order=categories,\n",
    "    n_top=15,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-025",
   "metadata": {},
   "source": [
    "### Functional enrichment\n",
    "\n",
    "Send the significant genes to the [STRING database](https://string-db.org/) and\n",
    "summarize enriched processes.\n",
    "\n",
    "> **Privacy note:** this sends the gene list to an external API. For sensitive\n",
    "> data, use a local enrichment tool instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cell-026",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:56:53.346630Z",
     "iopub.status.busy": "2026-07-11T00:56:53.346450Z",
     "iopub.status.idle": "2026-07-11T00:57:46.642543Z",
     "shell.execute_reply": "2026-07-11T00:57:46.641199Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:09,404] [WARNING ] 2500 of 16285 identifiers could not be mapped to STRING IDs (e.g. 4732440D04Rik, Gm26901, 2610203C22Rik, 1700034P13Rik, Snhg6); they are excluded from the enrichment universe.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:10,555] [WARNING ] 10 of 192 identifiers could not be mapped to STRING IDs (e.g. Trbc2, Igkc, Kcnq1ot1, Ighd, Ighm); they are excluded from the enrichment universe.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h3>Gene Set Report: 192 genes</h3><p><strong>Species:</strong> Mus musculus (Taxonomy ID: 10090)</p><h4>StringDB Network</h4><p><a href=\"https://string-db.org/cgi/network?identifiers=Cavin2%0dStat1%0dC130026I21Rik%0dRamp1%0dFcmr%0dBtg2%0dRgs2%0dRgs18%0dNcf2%0dSell%0dCreg1%0dPbx1%0dFcer1g%0dG0s2%0dVim%0dLcn2%0dRpl12%0dZeb2%0dLmo2%0dIl1b%0dSlpi%0dCar2%0dSlc7a11%0dS100a6%0dS100a8%0dS100a9%0dTxnip%0dCd2%0dChil3%0dBank1%0dLyn%0dTox%0dTxn1%0dMllt3%0dJun%0dMacf1%0dLck%0dHmgn2%0dCd52%0dStmn1%0dCxcl2%0dPlac8%0dSelplg%0dDynll1%0dAldh2%0dNcf1%0dAlox5ap%0dGng11%0dTrbc2%0dGimap4%0dGimap6%0dGimap1%0dGimap5%0dGimap3%0dTmem176b%0dTmem176a%0dMmrn1%0dIgkc%0dCd8b1%0dTmsb10%0dCd9%0dCcnd2%0dClec12a%0dClec1a%0dMgst1%0dFosb%0dApoe%0dCd79a%0dPou2f2%0dZfp36%0dTyrobp%0dNkg7%0dCd37%0dIgf1r%0dLat%0dNupr1%0dSult1a1%0dItgam%0dIfitm2%0dIfitm1%0dIfitm3%0dIfitm6%0dTaldo1%0dCd81%0dKcnq1ot1%0dGsr%0dHmgb2%0dJund%0dKlf2%0dJunb%0dMt1%0dAdgrg1%0dHp%0dCrispld2%0dBanp%0dCbfa2t3%0dEts1%0dNrgn%0dSorl1%0dCd3g%0dCd3d%0dCd3e%0dAnxa2%0dNedd4%0dGpx1%0dShisa5%0dCamp%0dNgp%0dLtf%0dCmtm7%0dMyb%0dCd24a%0dLilr4b%0dLilrb4a%0dPrtn3%0dCirbp%0dBtg1%0dLyz2%0dCd63%0dMeis1%0dPeli1%0dEbf1%0d9930111J21Rik2%0dIfi47%0dCenpv%0dCcl5%0dWfdc21%0dHlf%0dCd79b%0dTrim47%0dPygl%0dZfp36l1%0dFos%0dIfi27%0dIfi27l2a%0dBcl11b%0dIghd%0dIghm%0dCks2%0dSyk%0dCtla2a%0dMef2c%0dEmb%0dTkt%0dLgals3%0dTrac%0dGm43305%0dFyb%0dAngpt1%0dTrib1%0dNdrg1%0dLy6d%0dLy6a%0dLy6c2%0dLgals1%0dTspo%0dIglc3%0dIglc2%0dZbtb20%0dRetnlg%0dMsrb1%0dDusp1%0dFkbp5%0dPim1%0dH2-K1%0dPsmb9%0dTap1%0dH2-Ab1%0dH2-Aa%0dH2-Eb1%0dLst1%0dLtb%0dH2-Q4%0dH2-Q6%0dH2-Q7%0dH2-T22%0dIigp1%0dCd74%0dPtprcap%0dAW112010%0dMs4a1%0dMs4a4b%0dMs4a6b%0dFam111a%0dAnxa1%0dAldh1a1%0dAblim1%0dRbm3%0dCybb%0dF630028O10Rik%0dGm47283%0dAC149090.1&species=10090\" target=\"_blank\">View interactive network in StringDB</a></p><a href=\"https://string-db.org/cgi/network?identifiers=Cavin2%0dStat1%0dC130026I21Rik%0dRamp1%0dFcmr%0dBtg2%0dRgs2%0dRgs18%0dNcf2%0dSell%0dCreg1%0dPbx1%0dFcer1g%0dG0s2%0dVim%0dLcn2%0dRpl12%0dZeb2%0dLmo2%0dIl1b%0dSlpi%0dCar2%0dSlc7a11%0dS100a6%0dS100a8%0dS100a9%0dTxnip%0dCd2%0dChil3%0dBank1%0dLyn%0dTox%0dTxn1%0dMllt3%0dJun%0dMacf1%0dLck%0dHmgn2%0dCd52%0dStmn1%0dCxcl2%0dPlac8%0dSelplg%0dDynll1%0dAldh2%0dNcf1%0dAlox5ap%0dGng11%0dTrbc2%0dGimap4%0dGimap6%0dGimap1%0dGimap5%0dGimap3%0dTmem176b%0dTmem176a%0dMmrn1%0dIgkc%0dCd8b1%0dTmsb10%0dCd9%0dCcnd2%0dClec12a%0dClec1a%0dMgst1%0dFosb%0dApoe%0dCd79a%0dPou2f2%0dZfp36%0dTyrobp%0dNkg7%0dCd37%0dIgf1r%0dLat%0dNupr1%0dSult1a1%0dItgam%0dIfitm2%0dIfitm1%0dIfitm3%0dIfitm6%0dTaldo1%0dCd81%0dKcnq1ot1%0dGsr%0dHmgb2%0dJund%0dKlf2%0dJunb%0dMt1%0dAdgrg1%0dHp%0dCrispld2%0dBanp%0dCbfa2t3%0dEts1%0dNrgn%0dSorl1%0dCd3g%0dCd3d%0dCd3e%0dAnxa2%0dNedd4%0dGpx1%0dShisa5%0dCamp%0dNgp%0dLtf%0dCmtm7%0dMyb%0dCd24a%0dLilr4b%0dLilrb4a%0dPrtn3%0dCirbp%0dBtg1%0dLyz2%0dCd63%0dMeis1%0dPeli1%0dEbf1%0d9930111J21Rik2%0dIfi47%0dCenpv%0dCcl5%0dWfdc21%0dHlf%0dCd79b%0dTrim47%0dPygl%0dZfp36l1%0dFos%0dIfi27%0dIfi27l2a%0dBcl11b%0dIghd%0dIghm%0dCks2%0dSyk%0dCtla2a%0dMef2c%0dEmb%0dTkt%0dLgals3%0dTrac%0dGm43305%0dFyb%0dAngpt1%0dTrib1%0dNdrg1%0dLy6d%0dLy6a%0dLy6c2%0dLgals1%0dTspo%0dIglc3%0dIglc2%0dZbtb20%0dRetnlg%0dMsrb1%0dDusp1%0dFkbp5%0dPim1%0dH2-K1%0dPsmb9%0dTap1%0dH2-Ab1%0dH2-Aa%0dH2-Eb1%0dLst1%0dLtb%0dH2-Q4%0dH2-Q6%0dH2-Q7%0dH2-T22%0dIigp1%0dCd74%0dPtprcap%0dAW112010%0dMs4a1%0dMs4a4b%0dMs4a6b%0dFam111a%0dAnxa1%0dAldh1a1%0dAblim1%0dRbm3%0dCybb%0dF630028O10Rik%0dGm47283%0dAC149090.1&species=10090\" target=\"_blank\"><img src=\"https://string-db.org/api/image/network?identifiers=Cavin2%0dStat1%0dC130026I21Rik%0dRamp1%0dFcmr%0dBtg2%0dRgs2%0dRgs18%0dNcf2%0dSell%0dCreg1%0dPbx1%0dFcer1g%0dG0s2%0dVim%0dLcn2%0dRpl12%0dZeb2%0dLmo2%0dIl1b%0dSlpi%0dCar2%0dSlc7a11%0dS100a6%0dS100a8%0dS100a9%0dTxnip%0dCd2%0dChil3%0dBank1%0dLyn%0dTox%0dTxn1%0dMllt3%0dJun%0dMacf1%0dLck%0dHmgn2%0dCd52%0dStmn1%0dCxcl2%0dPlac8%0dSelplg%0dDynll1%0dAldh2%0dNcf1%0dAlox5ap%0dGng11%0dTrbc2%0dGimap4%0dGimap6%0dGimap1%0dGimap5%0dGimap3%0dTmem176b%0dTmem176a%0dMmrn1%0dIgkc%0dCd8b1%0dTmsb10%0dCd9%0dCcnd2%0dClec12a%0dClec1a%0dMgst1%0dFosb%0dApoe%0dCd79a%0dPou2f2%0dZfp36%0dTyrobp%0dNkg7%0dCd37%0dIgf1r%0dLat%0dNupr1%0dSult1a1%0dItgam%0dIfitm2%0dIfitm1%0dIfitm3%0dIfitm6%0dTaldo1%0dCd81%0dKcnq1ot1%0dGsr%0dHmgb2%0dJund%0dKlf2%0dJunb%0dMt1%0dAdgrg1%0dHp%0dCrispld2%0dBanp%0dCbfa2t3%0dEts1%0dNrgn%0dSorl1%0dCd3g%0dCd3d%0dCd3e%0dAnxa2%0dNedd4%0dGpx1%0dShisa5%0dCamp%0dNgp%0dLtf%0dCmtm7%0dMyb%0dCd24a%0dLilr4b%0dLilrb4a%0dPrtn3%0dCirbp%0dBtg1%0dLyz2%0dCd63%0dMeis1%0dPeli1%0dEbf1%0d9930111J21Rik2%0dIfi47%0dCenpv%0dCcl5%0dWfdc21%0dHlf%0dCd79b%0dTrim47%0dPygl%0dZfp36l1%0dFos%0dIfi27%0dIfi27l2a%0dBcl11b%0dIghd%0dIghm%0dCks2%0dSyk%0dCtla2a%0dMef2c%0dEmb%0dTkt%0dLgals3%0dTrac%0dGm43305%0dFyb%0dAngpt1%0dTrib1%0dNdrg1%0dLy6d%0dLy6a%0dLy6c2%0dLgals1%0dTspo%0dIglc3%0dIglc2%0dZbtb20%0dRetnlg%0dMsrb1%0dDusp1%0dFkbp5%0dPim1%0dH2-K1%0dPsmb9%0dTap1%0dH2-Ab1%0dH2-Aa%0dH2-Eb1%0dLst1%0dLtb%0dH2-Q4%0dH2-Q6%0dH2-Q7%0dH2-T22%0dIigp1%0dCd74%0dPtprcap%0dAW112010%0dMs4a1%0dMs4a4b%0dMs4a6b%0dFam111a%0dAnxa1%0dAldh1a1%0dAblim1%0dRbm3%0dCybb%0dF630028O10Rik%0dGm47283%0dAC149090.1&species=10090\" style=\"max-width:800px; border:1px solid #ddd;\" alt=\"StringDB Network\"></a><div style=\"margin-top: 20px;\"><details><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">Resource Links (192 genes)</summary><div style=\"padding: 10px;\"><table border=\"1\" style=\"border-collapse:collapse; width:100%; text-align: left;\"><tr><th style=\"width:15%; text-align:left;\">Gene</th><th style=\"text-align:left;\">Resource Links</th></tr><tr><td style=\"text-align:left;\">Cavin2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cavin2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cavin2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cavin2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cavin2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cavin2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cavin2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cavin2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Stat1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Stat1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Stat1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Stat1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Stat1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Stat1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Stat1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Stat1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">C130026I21Rik</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=C130026I21Rik&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=C130026I21Rik&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=C130026I21Rik&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=C130026I21Rik\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=C130026I21Rik+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=C130026I21Rik&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=C130026I21Rik+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ramp1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ramp1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ramp1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ramp1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ramp1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ramp1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ramp1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ramp1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fcmr</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fcmr&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fcmr&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fcmr&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fcmr\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fcmr+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fcmr&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fcmr+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Btg2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Btg2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Btg2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Btg2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Btg2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Btg2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Btg2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Btg2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Rgs2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Rgs2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Rgs2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Rgs2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Rgs2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Rgs2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Rgs2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Rgs2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Rgs18</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Rgs18&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Rgs18&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Rgs18&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Rgs18\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Rgs18+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Rgs18&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Rgs18+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ncf2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ncf2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ncf2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ncf2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ncf2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ncf2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ncf2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ncf2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Sell</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Sell&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Sell&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Sell&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Sell\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Sell+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Sell&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Sell+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Creg1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Creg1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Creg1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Creg1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Creg1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Creg1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Creg1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Creg1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Pbx1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Pbx1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Pbx1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Pbx1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Pbx1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Pbx1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Pbx1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Pbx1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fcer1g</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fcer1g&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fcer1g&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fcer1g&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fcer1g\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fcer1g+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fcer1g&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fcer1g+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">G0s2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=G0s2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=G0s2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=G0s2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=G0s2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=G0s2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=G0s2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=G0s2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Vim</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Vim&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Vim&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Vim&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Vim\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Vim+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Vim&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Vim+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lcn2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lcn2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lcn2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lcn2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lcn2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lcn2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lcn2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lcn2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Rpl12</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Rpl12&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Rpl12&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Rpl12&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Rpl12\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Rpl12+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Rpl12&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Rpl12+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Zeb2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Zeb2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Zeb2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Zeb2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Zeb2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Zeb2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Zeb2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Zeb2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lmo2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lmo2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lmo2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lmo2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lmo2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lmo2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lmo2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lmo2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Il1b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Il1b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Il1b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Il1b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Il1b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Il1b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Il1b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Il1b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Slpi</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Slpi&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Slpi&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Slpi&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Slpi\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Slpi+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Slpi&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Slpi+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Car2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Car2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Car2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Car2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Car2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Car2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Car2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Car2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Slc7a11</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Slc7a11&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Slc7a11&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Slc7a11&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Slc7a11\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Slc7a11+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Slc7a11&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Slc7a11+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">S100a6</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=S100a6&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=S100a6&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=S100a6&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=S100a6\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=S100a6+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=S100a6&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=S100a6+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">S100a8</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=S100a8&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=S100a8&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=S100a8&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=S100a8\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=S100a8+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=S100a8&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=S100a8+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">S100a9</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=S100a9&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=S100a9&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=S100a9&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=S100a9\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=S100a9+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=S100a9&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=S100a9+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Txnip</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Txnip&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Txnip&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Txnip&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Txnip\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Txnip+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Txnip&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Txnip+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Chil3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Chil3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Chil3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Chil3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Chil3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Chil3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Chil3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Chil3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Bank1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Bank1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Bank1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Bank1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Bank1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Bank1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Bank1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Bank1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lyn</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lyn&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lyn&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lyn&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lyn\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lyn+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lyn&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lyn+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tox</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tox&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tox&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tox&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tox\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tox+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tox&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tox+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Txn1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Txn1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Txn1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Txn1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Txn1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Txn1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Txn1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Txn1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Mllt3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Mllt3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Mllt3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Mllt3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Mllt3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Mllt3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Mllt3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Mllt3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Jun</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Jun&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Jun&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Jun&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Jun\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Jun+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Jun&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Jun+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Macf1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Macf1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Macf1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Macf1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Macf1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Macf1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Macf1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Macf1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lck</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lck&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lck&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lck&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lck\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lck+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lck&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lck+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Hmgn2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Hmgn2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Hmgn2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Hmgn2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Hmgn2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Hmgn2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Hmgn2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Hmgn2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd52</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd52&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd52&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd52&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd52\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd52+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd52&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd52+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Stmn1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Stmn1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Stmn1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Stmn1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Stmn1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Stmn1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Stmn1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Stmn1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cxcl2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cxcl2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cxcl2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cxcl2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cxcl2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cxcl2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cxcl2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cxcl2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Plac8</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Plac8&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Plac8&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Plac8&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Plac8\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Plac8+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Plac8&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Plac8+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Selplg</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Selplg&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Selplg&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Selplg&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Selplg\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Selplg+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Selplg&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Selplg+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Dynll1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Dynll1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Dynll1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Dynll1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Dynll1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Dynll1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Dynll1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Dynll1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Aldh2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Aldh2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Aldh2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Aldh2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Aldh2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Aldh2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Aldh2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Aldh2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ncf1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ncf1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ncf1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ncf1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ncf1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ncf1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ncf1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ncf1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Alox5ap</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Alox5ap&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Alox5ap&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Alox5ap&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Alox5ap\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Alox5ap+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Alox5ap&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Alox5ap+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gng11</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gng11&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gng11&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gng11&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gng11\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gng11+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gng11&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gng11+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Trbc2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Trbc2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Trbc2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Trbc2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Trbc2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Trbc2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Trbc2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Trbc2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gimap4</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gimap4&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gimap4&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gimap4&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gimap4\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gimap4+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gimap4&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gimap4+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gimap6</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gimap6&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gimap6&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gimap6&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gimap6\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gimap6+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gimap6&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gimap6+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gimap1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gimap1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gimap1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gimap1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gimap1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gimap1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gimap1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gimap1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gimap5</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gimap5&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gimap5&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gimap5&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gimap5\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gimap5+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gimap5&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gimap5+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gimap3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gimap3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gimap3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gimap3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gimap3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gimap3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gimap3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gimap3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tmem176b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tmem176b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tmem176b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tmem176b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tmem176b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tmem176b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tmem176b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tmem176b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tmem176a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tmem176a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tmem176a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tmem176a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tmem176a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tmem176a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tmem176a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tmem176a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Mmrn1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Mmrn1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Mmrn1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Mmrn1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Mmrn1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Mmrn1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Mmrn1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Mmrn1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Igkc</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Igkc&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Igkc&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Igkc&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Igkc\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Igkc+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Igkc&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Igkc+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd8b1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd8b1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd8b1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd8b1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd8b1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd8b1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd8b1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd8b1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tmsb10</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tmsb10&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tmsb10&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tmsb10&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tmsb10\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tmsb10+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tmsb10&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tmsb10+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd9</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd9&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd9&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd9&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd9\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd9+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd9&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd9+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ccnd2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ccnd2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ccnd2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ccnd2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ccnd2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ccnd2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ccnd2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ccnd2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Clec12a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Clec12a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Clec12a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Clec12a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Clec12a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Clec12a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Clec12a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Clec12a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Clec1a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Clec1a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Clec1a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Clec1a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Clec1a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Clec1a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Clec1a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Clec1a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Mgst1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Mgst1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Mgst1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Mgst1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Mgst1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Mgst1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Mgst1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Mgst1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fosb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fosb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fosb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fosb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fosb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fosb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fosb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fosb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Apoe</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Apoe&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Apoe&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Apoe&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Apoe\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Apoe+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Apoe&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Apoe+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd79a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd79a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd79a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd79a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd79a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd79a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd79a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd79a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Pou2f2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Pou2f2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Pou2f2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Pou2f2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Pou2f2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Pou2f2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Pou2f2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Pou2f2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Zfp36</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Zfp36&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Zfp36&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Zfp36&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Zfp36\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Zfp36+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Zfp36&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Zfp36+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tyrobp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tyrobp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tyrobp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tyrobp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tyrobp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tyrobp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tyrobp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tyrobp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Nkg7</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Nkg7&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Nkg7&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Nkg7&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Nkg7\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Nkg7+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Nkg7&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Nkg7+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd37</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd37&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd37&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd37&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd37\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd37+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd37&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd37+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Igf1r</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Igf1r&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Igf1r&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Igf1r&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Igf1r\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Igf1r+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Igf1r&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Igf1r+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lat</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lat&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lat&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lat&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lat\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lat+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lat&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lat+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Nupr1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Nupr1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Nupr1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Nupr1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Nupr1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Nupr1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Nupr1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Nupr1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Sult1a1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Sult1a1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Sult1a1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Sult1a1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Sult1a1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Sult1a1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Sult1a1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Sult1a1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Itgam</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Itgam&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Itgam&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Itgam&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Itgam\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Itgam+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Itgam&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Itgam+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifitm2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifitm2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifitm2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifitm2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifitm2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifitm2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifitm2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifitm2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifitm1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifitm1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifitm1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifitm1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifitm1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifitm1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifitm1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifitm1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifitm3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifitm3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifitm3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifitm3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifitm3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifitm3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifitm3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifitm3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifitm6</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifitm6&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifitm6&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifitm6&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifitm6\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifitm6+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifitm6&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifitm6+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Taldo1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Taldo1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Taldo1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Taldo1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Taldo1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Taldo1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Taldo1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Taldo1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd81</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd81&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd81&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd81&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd81\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd81+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd81&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd81+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Kcnq1ot1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Kcnq1ot1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Kcnq1ot1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Kcnq1ot1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Kcnq1ot1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Kcnq1ot1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Kcnq1ot1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Kcnq1ot1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gsr</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gsr&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gsr&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gsr&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gsr\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gsr+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gsr&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gsr+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Hmgb2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Hmgb2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Hmgb2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Hmgb2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Hmgb2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Hmgb2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Hmgb2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Hmgb2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Jund</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Jund&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Jund&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Jund&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Jund\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Jund+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Jund&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Jund+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Klf2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Klf2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Klf2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Klf2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Klf2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Klf2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Klf2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Klf2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Junb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Junb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Junb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Junb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Junb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Junb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Junb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Junb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Mt1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Mt1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Mt1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Mt1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Mt1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Mt1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Mt1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Mt1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Adgrg1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Adgrg1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Adgrg1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Adgrg1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Adgrg1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Adgrg1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Adgrg1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Adgrg1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Hp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Hp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Hp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Hp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Hp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Hp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Hp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Hp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Crispld2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Crispld2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Crispld2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Crispld2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Crispld2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Crispld2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Crispld2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Crispld2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Banp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Banp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Banp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Banp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Banp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Banp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Banp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Banp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cbfa2t3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cbfa2t3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cbfa2t3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cbfa2t3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cbfa2t3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cbfa2t3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cbfa2t3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cbfa2t3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ets1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ets1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ets1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ets1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ets1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ets1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ets1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ets1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Nrgn</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Nrgn&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Nrgn&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Nrgn&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Nrgn\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Nrgn+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Nrgn&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Nrgn+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Sorl1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Sorl1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Sorl1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Sorl1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Sorl1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Sorl1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Sorl1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Sorl1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd3g</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd3g&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd3g&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd3g&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd3g\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd3g+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd3g&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd3g+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd3d</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd3d&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd3d&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd3d&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd3d\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd3d+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd3d&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd3d+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd3e</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd3e&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd3e&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd3e&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd3e\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd3e+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd3e&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd3e+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Anxa2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Anxa2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Anxa2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Anxa2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Anxa2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Anxa2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Anxa2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Anxa2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Nedd4</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Nedd4&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Nedd4&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Nedd4&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Nedd4\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Nedd4+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Nedd4&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Nedd4+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gpx1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gpx1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gpx1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gpx1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gpx1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gpx1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gpx1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gpx1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Shisa5</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Shisa5&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Shisa5&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Shisa5&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Shisa5\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Shisa5+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Shisa5&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Shisa5+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Camp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Camp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Camp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Camp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Camp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Camp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Camp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Camp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ngp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ngp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ngp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ngp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ngp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ngp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ngp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ngp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ltf</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ltf&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ltf&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ltf&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ltf\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ltf+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ltf&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ltf+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cmtm7</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cmtm7&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cmtm7&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cmtm7&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cmtm7\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cmtm7+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cmtm7&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cmtm7+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Myb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Myb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Myb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Myb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Myb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Myb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Myb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Myb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd24a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd24a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd24a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd24a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd24a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd24a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd24a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd24a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lilr4b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lilr4b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lilr4b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lilr4b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lilr4b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lilr4b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lilr4b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lilr4b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lilrb4a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lilrb4a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lilrb4a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lilrb4a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lilrb4a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lilrb4a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lilrb4a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lilrb4a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Prtn3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Prtn3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Prtn3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Prtn3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Prtn3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Prtn3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Prtn3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Prtn3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cirbp</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cirbp&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cirbp&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cirbp&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cirbp\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cirbp+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cirbp&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cirbp+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Btg1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Btg1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Btg1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Btg1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Btg1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Btg1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Btg1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Btg1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lyz2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lyz2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lyz2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lyz2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lyz2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lyz2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lyz2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lyz2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd63</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd63&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd63&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd63&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd63\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd63+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd63&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd63+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Meis1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Meis1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Meis1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Meis1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Meis1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Meis1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Meis1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Meis1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Peli1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Peli1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Peli1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Peli1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Peli1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Peli1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Peli1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Peli1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ebf1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ebf1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ebf1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ebf1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ebf1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ebf1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ebf1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ebf1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">9930111J21Rik2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=9930111J21Rik2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=9930111J21Rik2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=9930111J21Rik2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=9930111J21Rik2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=9930111J21Rik2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=9930111J21Rik2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=9930111J21Rik2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifi47</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifi47&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifi47&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifi47&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifi47\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifi47+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifi47&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifi47+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cenpv</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cenpv&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cenpv&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cenpv&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cenpv\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cenpv+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cenpv&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cenpv+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ccl5</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ccl5&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ccl5&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ccl5&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ccl5\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ccl5+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ccl5&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ccl5+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Wfdc21</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Wfdc21&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Wfdc21&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Wfdc21&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Wfdc21\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Wfdc21+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Wfdc21&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Wfdc21+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Hlf</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Hlf&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Hlf&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Hlf&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Hlf\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Hlf+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Hlf&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Hlf+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd79b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd79b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd79b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd79b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd79b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd79b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd79b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd79b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Trim47</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Trim47&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Trim47&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Trim47&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Trim47\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Trim47+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Trim47&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Trim47+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Pygl</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Pygl&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Pygl&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Pygl&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Pygl\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Pygl+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Pygl&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Pygl+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Zfp36l1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Zfp36l1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Zfp36l1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Zfp36l1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Zfp36l1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Zfp36l1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Zfp36l1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Zfp36l1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fos</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fos&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fos&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fos&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fos\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fos+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fos&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fos+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifi27</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifi27&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifi27&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifi27&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifi27\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifi27+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifi27&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifi27+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ifi27l2a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ifi27l2a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ifi27l2a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ifi27l2a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ifi27l2a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ifi27l2a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ifi27l2a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ifi27l2a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Bcl11b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Bcl11b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Bcl11b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Bcl11b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Bcl11b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Bcl11b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Bcl11b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Bcl11b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ighd</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ighd&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ighd&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ighd&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ighd\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ighd+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ighd&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ighd+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ighm</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ighm&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ighm&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ighm&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ighm\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ighm+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ighm&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ighm+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cks2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cks2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cks2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cks2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cks2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cks2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cks2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cks2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Syk</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Syk&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Syk&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Syk&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Syk\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Syk+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Syk&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Syk+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ctla2a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ctla2a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ctla2a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ctla2a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ctla2a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ctla2a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ctla2a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ctla2a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Mef2c</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Mef2c&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Mef2c&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Mef2c&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Mef2c\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Mef2c+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Mef2c&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Mef2c+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Emb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Emb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Emb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Emb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Emb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Emb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Emb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Emb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tkt</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tkt&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tkt&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tkt&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tkt\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tkt+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tkt&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tkt+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lgals3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lgals3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lgals3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lgals3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lgals3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lgals3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lgals3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lgals3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Trac</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Trac&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Trac&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Trac&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Trac\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Trac+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Trac&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Trac+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gm43305</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gm43305&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gm43305&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gm43305&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gm43305\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gm43305+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gm43305&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gm43305+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fyb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fyb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fyb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fyb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fyb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fyb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fyb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fyb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Angpt1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Angpt1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Angpt1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Angpt1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Angpt1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Angpt1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Angpt1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Angpt1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Trib1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Trib1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Trib1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Trib1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Trib1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Trib1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Trib1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Trib1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ndrg1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ndrg1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ndrg1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ndrg1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ndrg1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ndrg1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ndrg1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ndrg1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ly6d</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ly6d&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ly6d&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ly6d&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ly6d\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ly6d+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ly6d&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ly6d+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ly6a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ly6a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ly6a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ly6a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ly6a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ly6a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ly6a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ly6a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ly6c2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ly6c2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ly6c2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ly6c2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ly6c2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ly6c2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ly6c2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ly6c2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lgals1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lgals1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lgals1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lgals1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lgals1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lgals1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lgals1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lgals1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tspo</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tspo&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tspo&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tspo&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tspo\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tspo+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tspo&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tspo+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Iglc3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Iglc3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Iglc3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Iglc3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Iglc3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Iglc3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Iglc3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Iglc3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Iglc2</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Iglc2&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Iglc2&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Iglc2&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Iglc2\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Iglc2+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Iglc2&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Iglc2+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Zbtb20</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Zbtb20&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Zbtb20&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Zbtb20&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Zbtb20\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Zbtb20+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Zbtb20&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Zbtb20+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Retnlg</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Retnlg&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Retnlg&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Retnlg&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Retnlg\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Retnlg+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Retnlg&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Retnlg+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Msrb1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Msrb1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Msrb1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Msrb1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Msrb1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Msrb1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Msrb1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Msrb1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Dusp1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Dusp1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Dusp1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Dusp1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Dusp1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Dusp1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Dusp1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Dusp1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fkbp5</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fkbp5&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fkbp5&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fkbp5&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fkbp5\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fkbp5+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fkbp5&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fkbp5+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Pim1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Pim1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Pim1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Pim1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Pim1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Pim1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Pim1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Pim1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-K1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-K1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-K1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-K1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-K1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-K1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-K1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-K1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Psmb9</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Psmb9&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Psmb9&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Psmb9&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Psmb9\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Psmb9+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Psmb9&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Psmb9+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Tap1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Tap1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Tap1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Tap1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Tap1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Tap1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Tap1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Tap1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Ab1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Ab1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Ab1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Ab1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Ab1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Ab1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Ab1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Ab1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Aa</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Aa&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Aa&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Aa&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Aa\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Aa+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Aa&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Aa+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Eb1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Eb1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Eb1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Eb1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Eb1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Eb1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Eb1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Eb1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Lst1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Lst1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Lst1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Lst1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Lst1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Lst1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Lst1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Lst1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ltb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ltb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ltb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ltb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ltb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ltb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ltb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ltb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Q4</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Q4&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Q4&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Q4&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Q4\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Q4+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Q4&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Q4+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Q6</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Q6&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Q6&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Q6&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Q6\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Q6+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Q6&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Q6+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-Q7</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-Q7&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-Q7&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-Q7&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-Q7\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-Q7+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-Q7&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-Q7+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">H2-T22</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=H2-T22&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=H2-T22&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=H2-T22&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=H2-T22\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=H2-T22+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=H2-T22&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=H2-T22+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Iigp1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Iigp1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Iigp1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Iigp1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Iigp1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Iigp1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Iigp1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Iigp1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cd74</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cd74&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cd74&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cd74&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cd74\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cd74+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cd74&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cd74+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ptprcap</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ptprcap&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ptprcap&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ptprcap&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ptprcap\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ptprcap+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ptprcap&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ptprcap+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">AW112010</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=AW112010&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=AW112010&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=AW112010&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=AW112010\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=AW112010+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=AW112010&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=AW112010+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ms4a1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ms4a1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ms4a1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ms4a1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ms4a1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ms4a1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ms4a1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ms4a1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ms4a4b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ms4a4b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ms4a4b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ms4a4b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ms4a4b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ms4a4b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ms4a4b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ms4a4b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ms4a6b</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ms4a6b&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ms4a6b&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ms4a6b&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ms4a6b\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ms4a6b+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ms4a6b&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ms4a6b+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Fam111a</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Fam111a&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Fam111a&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Fam111a&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Fam111a\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Fam111a+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Fam111a&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Fam111a+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Anxa1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Anxa1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Anxa1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Anxa1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Anxa1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Anxa1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Anxa1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Anxa1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Aldh1a1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Aldh1a1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Aldh1a1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Aldh1a1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Aldh1a1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Aldh1a1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Aldh1a1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Aldh1a1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Ablim1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Ablim1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Ablim1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Ablim1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Ablim1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Ablim1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Ablim1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Ablim1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Rbm3</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Rbm3&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Rbm3&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Rbm3&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Rbm3\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Rbm3+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Rbm3&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Rbm3+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Cybb</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Cybb&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Cybb&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Cybb&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Cybb\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Cybb+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Cybb&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Cybb+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">F630028O10Rik</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=F630028O10Rik&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=F630028O10Rik&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=F630028O10Rik&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=F630028O10Rik\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=F630028O10Rik+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=F630028O10Rik&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=F630028O10Rik+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">Gm47283</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=Gm47283&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=Gm47283&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=Gm47283&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=Gm47283\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=Gm47283+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=Gm47283&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=Gm47283+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr><tr><td style=\"text-align:left;\">AC149090.1</td><td style=\"text-align:left;\"><a href=\"https://string-db.org/cgi/network?identifiers=AC149090.1&species=10090\" target=\"_blank\">STRING DB</a> | <a href=\"https://thebiogrid.org/search.php?search=AC149090.1&organism=Mus musculus\" target=\"_blank\">BioGRID</a> | <a href=\"https://reactome.org/content/query?q=AC149090.1&species=Mus+musculus&cluster=true\" target=\"_blank\">Reactome</a> | <a href=\"https://www.genecards.org/cgi-bin/carddisp.pl?gene=AC149090.1\" target=\"_blank\">GeneCards</a> | <a href=\"https://www.uniprot.org/uniprotkb?query=AC149090.1+AND+organism_id:10090\" target=\"_blank\">UniProt</a> | <a href=\"https://www.informatics.jax.org/quicksearch/summary?queryType=exactPhrase&query=AC149090.1&submit=Quick%0D%0ASearch\" target=\"_blank\">MGI</a> | <a href=\"https://www.ncbi.nlm.nih.gov/gene/?term=AC149090.1+AND+mouse[orgn]\" target=\"_blank\">NCBI Gene</a></td></tr></table></div></details></div><h4>Functional Enrichment Analysis</h4><p><a href=\"https://string-db.org/cgi/network.pl?identifiers=Cavin2%0AStat1%0AC130026I21Rik%0ARamp1%0AFcmr%0ABtg2%0ARgs2%0ARgs18%0ANcf2%0ASell%0ACreg1%0APbx1%0AFcer1g%0AG0s2%0AVim%0ALcn2%0ARpl12%0AZeb2%0ALmo2%0AIl1b%0ASlpi%0ACar2%0ASlc7a11%0AS100a6%0AS100a8%0AS100a9%0ATxnip%0ACd2%0AChil3%0ABank1%0ALyn%0ATox%0ATxn1%0AMllt3%0AJun%0AMacf1%0ALck%0AHmgn2%0ACd52%0AStmn1%0ACxcl2%0APlac8%0ASelplg%0ADynll1%0AAldh2%0ANcf1%0AAlox5ap%0AGng11%0ATrbc2%0AGimap4%0AGimap6%0AGimap1%0AGimap5%0AGimap3%0ATmem176b%0ATmem176a%0AMmrn1%0AIgkc%0ACd8b1%0ATmsb10%0ACd9%0ACcnd2%0AClec12a%0AClec1a%0AMgst1%0AFosb%0AApoe%0ACd79a%0APou2f2%0AZfp36%0ATyrobp%0ANkg7%0ACd37%0AIgf1r%0ALat%0ANupr1%0ASult1a1%0AItgam%0AIfitm2%0AIfitm1%0AIfitm3%0AIfitm6%0ATaldo1%0ACd81%0AKcnq1ot1%0AGsr%0AHmgb2%0AJund%0AKlf2%0AJunb%0AMt1%0AAdgrg1%0AHp%0ACrispld2%0ABanp%0ACbfa2t3%0AEts1%0ANrgn%0ASorl1%0ACd3g%0ACd3d%0ACd3e%0AAnxa2%0ANedd4%0AGpx1%0AShisa5%0ACamp%0ANgp%0ALtf%0ACmtm7%0AMyb%0ACd24a%0ALilr4b%0ALilrb4a%0APrtn3%0ACirbp%0ABtg1%0ALyz2%0ACd63%0AMeis1%0APeli1%0AEbf1%0A9930111J21Rik2%0AIfi47%0ACenpv%0ACcl5%0AWfdc21%0AHlf%0ACd79b%0ATrim47%0APygl%0AZfp36l1%0AFos%0AIfi27%0AIfi27l2a%0ABcl11b%0AIghd%0AIghm%0ACks2%0ASyk%0ACtla2a%0AMef2c%0AEmb%0ATkt%0ALgals3%0ATrac%0AGm43305%0AFyb%0AAngpt1%0ATrib1%0ANdrg1%0ALy6d%0ALy6a%0ALy6c2%0ALgals1%0ATspo%0AIglc3%0AIglc2%0AZbtb20%0ARetnlg%0AMsrb1%0ADusp1%0AFkbp5%0APim1%0AH2-K1%0APsmb9%0ATap1%0AH2-Ab1%0AH2-Aa%0AH2-Eb1%0ALst1%0ALtb%0AH2-Q4%0AH2-Q6%0AH2-Q7%0AH2-T22%0AIigp1%0ACd74%0APtprcap%0AAW112010%0AMs4a1%0AMs4a4b%0AMs4a6b%0AFam111a%0AAnxa1%0AAldh1a1%0AAblim1%0ARbm3%0ACybb%0AF630028O10Rik%0AGm47283%0AAC149090.1&species=10090&network_flavor=evidence&required_score=400&caller_identity=kompot#enrichment\" target=\"_blank\" style=\"font-weight: bold;\">View interactive enrichment analysis on StringDB</a></p><div style=\"margin-top: 20px;\"><details ><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">Gene Ontology Processes (513 terms)</summary><div style=\"padding: 10px;\"><table style=\"border-collapse:collapse; width:100%; text-align:left;\" border=\"1\" class=\"dataframe enrichment-table\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>term</th>\n",
       "      <th>description</th>\n",
       "      <th>signal</th>\n",
       "      <th>strength</th>\n",
       "      <th>fdr</th>\n",
       "      <th>number_of_genes</th>\n",
       "      <th>inputGenes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>GO:0002774</td>\n",
       "      <td>Fc receptor mediated inhibitory signaling pathway</td>\n",
       "      <td>0.433774</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>1.700000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000038838, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000099958]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0060337</td>\n",
       "      <td>Type I interferon signaling pathway</td>\n",
       "      <td>0.379033</td>\n",
       "      <td>1.378984</td>\n",
       "      <td>4.050000e-05</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000026565, 10090.ENSMUSP00000071470, 10090.ENSMUSP00000082142, 10090.ENSMUSP00000101657, 10090.ENSMUSP00000141132, 10090.ENSMUSP00000147357]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0002476</td>\n",
       "      <td>Antigen processing and presentation of endogenous peptide antigen via MHC class Ib</td>\n",
       "      <td>0.362382</td>\n",
       "      <td>1.408948</td>\n",
       "      <td>2.100000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0002483</td>\n",
       "      <td>Antigen processing and presentation of endogenous peptide antigen</td>\n",
       "      <td>0.350459</td>\n",
       "      <td>1.333227</td>\n",
       "      <td>6.120000e-05</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0048002</td>\n",
       "      <td>Antigen processing and presentation of peptide antigen</td>\n",
       "      <td>0.320524</td>\n",
       "      <td>1.173222</td>\n",
       "      <td>9.240000e-08</td>\n",
       "      <td>11</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0045588</td>\n",
       "      <td>Positive regulation of gamma-delta T cell differentiation</td>\n",
       "      <td>0.319795</td>\n",
       "      <td>1.416773</td>\n",
       "      <td>1.400000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000056820, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000145211]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0002669</td>\n",
       "      <td>Positive regulation of T cell anergy</td>\n",
       "      <td>0.309065</td>\n",
       "      <td>1.555076</td>\n",
       "      <td>5.800000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000077833, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000099958]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0033634</td>\n",
       "      <td>Positive regulation of cell-cell adhesion mediated by integrin</td>\n",
       "      <td>0.309065</td>\n",
       "      <td>1.555076</td>\n",
       "      <td>5.800000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000039600, 10090.ENSMUSP00000057983, 10090.ENSMUSP00000099896]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0002478</td>\n",
       "      <td>Antigen processing and presentation of exogenous peptide antigen</td>\n",
       "      <td>0.306283</td>\n",
       "      <td>1.224082</td>\n",
       "      <td>3.500000e-05</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0019886</td>\n",
       "      <td>Antigen processing and presentation of exogenous peptide antigen via MHC class II</td>\n",
       "      <td>0.302427</td>\n",
       "      <td>1.299803</td>\n",
       "      <td>4.800000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0045059</td>\n",
       "      <td>Positive thymic T cell selection</td>\n",
       "      <td>0.301053</td>\n",
       "      <td>1.378984</td>\n",
       "      <td>1.800000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000099896]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0050853</td>\n",
       "      <td>B cell receptor signaling pathway</td>\n",
       "      <td>0.288775</td>\n",
       "      <td>1.168131</td>\n",
       "      <td>1.330000e-05</td>\n",
       "      <td>8</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000126422, 10090.ENSMUSP00000129029, 10090.ENSMUSP00000143401]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0045730</td>\n",
       "      <td>Respiratory burst</td>\n",
       "      <td>0.284076</td>\n",
       "      <td>1.344222</td>\n",
       "      <td>2.300000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000057983, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0110089</td>\n",
       "      <td>Regulation of hippocampal neuron apoptotic process</td>\n",
       "      <td>0.282093</td>\n",
       "      <td>1.488129</td>\n",
       "      <td>7.900000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000032800, 10090.ENSMUSP00000053962, 10090.ENSMUSP00000068468]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0031394</td>\n",
       "      <td>Positive regulation of prostaglandin biosynthetic process</td>\n",
       "      <td>0.282093</td>\n",
       "      <td>1.488129</td>\n",
       "      <td>7.900000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000025561, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000095171]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0035821</td>\n",
       "      <td>Modulation of process of another organism</td>\n",
       "      <td>0.279197</td>\n",
       "      <td>1.254046</td>\n",
       "      <td>6.900000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000035077, 10090.ENSMUSP00000104992, 10090.ENSMUSP00000107653, 10090.ENSMUSP00000112843, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0034118</td>\n",
       "      <td>Regulation of erythrocyte aggregation</td>\n",
       "      <td>0.277734</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.440000e-02</td>\n",
       "      <td>2</td>\n",
       "      <td>[10090.ENSMUSP00000057983, 10090.ENSMUSP00000086795]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0045584</td>\n",
       "      <td>Negative regulation of cytotoxic T cell differentiation</td>\n",
       "      <td>0.277734</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.440000e-02</td>\n",
       "      <td>2</td>\n",
       "      <td>[10090.ENSMUSP00000077833, 10090.ENSMUSP00000099958]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0110090</td>\n",
       "      <td>Positive regulation of hippocampal neuron apoptotic process</td>\n",
       "      <td>0.277734</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.440000e-02</td>\n",
       "      <td>2</td>\n",
       "      <td>[10090.ENSMUSP00000032800, 10090.ENSMUSP00000068468]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0070488</td>\n",
       "      <td>Neutrophil aggregation</td>\n",
       "      <td>0.277734</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.440000e-02</td>\n",
       "      <td>2</td>\n",
       "      <td>[10090.ENSMUSP00000064385, 10090.ENSMUSP00000112843]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p style=\"margin-top:10px; font-style:italic;\">Showing 20 of 513 enriched terms</p></div></details><details ><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">KEGG Pathways (43 terms)</summary><div style=\"padding: 10px;\"><table style=\"border-collapse:collapse; width:100%; text-align:left;\" border=\"1\" class=\"dataframe enrichment-table\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>term</th>\n",
       "      <th>description</th>\n",
       "      <th>signal</th>\n",
       "      <th>strength</th>\n",
       "      <th>fdr</th>\n",
       "      <th>number_of_genes</th>\n",
       "      <th>inputGenes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>mmu05332</td>\n",
       "      <td>Graft-versus-host disease</td>\n",
       "      <td>0.883180</td>\n",
       "      <td>1.254046</td>\n",
       "      <td>2.910000e-07</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04940</td>\n",
       "      <td>Type I diabetes mellitus</td>\n",
       "      <td>0.844041</td>\n",
       "      <td>1.219283</td>\n",
       "      <td>3.750000e-07</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04640</td>\n",
       "      <td>Hematopoietic cell lineage</td>\n",
       "      <td>0.817518</td>\n",
       "      <td>1.093749</td>\n",
       "      <td>5.430000e-09</td>\n",
       "      <td>14</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000029456, 10090.ENSMUSP00000032492, 10090.ENSMUSP00000033063, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000057983, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000126422, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05320</td>\n",
       "      <td>Autoimmune thyroid disease</td>\n",
       "      <td>0.776443</td>\n",
       "      <td>1.202893</td>\n",
       "      <td>2.010000e-06</td>\n",
       "      <td>8</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05330</td>\n",
       "      <td>Allograft rejection</td>\n",
       "      <td>0.776443</td>\n",
       "      <td>1.202893</td>\n",
       "      <td>2.010000e-06</td>\n",
       "      <td>8</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05140</td>\n",
       "      <td>Leishmaniasis</td>\n",
       "      <td>0.766941</td>\n",
       "      <td>1.112168</td>\n",
       "      <td>1.710000e-07</td>\n",
       "      <td>11</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000140404, 10090.ENSMUSP00000141132, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04612</td>\n",
       "      <td>Antigen processing and presentation</td>\n",
       "      <td>0.766941</td>\n",
       "      <td>1.112168</td>\n",
       "      <td>1.710000e-07</td>\n",
       "      <td>11</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05323</td>\n",
       "      <td>Rheumatoid arthritis</td>\n",
       "      <td>0.655180</td>\n",
       "      <td>1.036562</td>\n",
       "      <td>1.280000e-06</td>\n",
       "      <td>10</td>\n",
       "      <td>[10090.ENSMUSP00000021674, 10090.ENSMUSP00000022921, 10090.ENSMUSP00000025262, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000039600, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000074885, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04658</td>\n",
       "      <td>Th1 and Th2 cell differentiation</td>\n",
       "      <td>0.630494</td>\n",
       "      <td>0.994408</td>\n",
       "      <td>7.860000e-07</td>\n",
       "      <td>11</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000032997, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000141132, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04659</td>\n",
       "      <td>Th17 cell differentiation</td>\n",
       "      <td>0.628525</td>\n",
       "      <td>0.976245</td>\n",
       "      <td>3.750000e-07</td>\n",
       "      <td>12</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000032997, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000141132, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05169</td>\n",
       "      <td>Epstein-Barr virus infection</td>\n",
       "      <td>0.586873</td>\n",
       "      <td>0.872408</td>\n",
       "      <td>5.430000e-09</td>\n",
       "      <td>19</td>\n",
       "      <td>[10090.ENSMUSP00000000188, 10090.ENSMUSP00000002101, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000028062, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000034740, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000141132, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04514</td>\n",
       "      <td>Cell adhesion molecules</td>\n",
       "      <td>0.584653</td>\n",
       "      <td>0.924726</td>\n",
       "      <td>3.750000e-07</td>\n",
       "      <td>13</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000027871, 10090.ENSMUSP00000029456, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000098436, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05416</td>\n",
       "      <td>Viral myocarditis</td>\n",
       "      <td>0.583991</td>\n",
       "      <td>1.034920</td>\n",
       "      <td>2.120000e-05</td>\n",
       "      <td>8</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04380</td>\n",
       "      <td>Osteoclast differentiation</td>\n",
       "      <td>0.581384</td>\n",
       "      <td>0.920831</td>\n",
       "      <td>3.750000e-07</td>\n",
       "      <td>13</td>\n",
       "      <td>[10090.ENSMUSP00000003640, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000032800, 10090.ENSMUSP00000064680, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000092901, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000140404, 10090.ENSMUSP00000141132]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04657</td>\n",
       "      <td>IL-17 signaling pathway</td>\n",
       "      <td>0.571185</td>\n",
       "      <td>0.990804</td>\n",
       "      <td>1.110000e-05</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000003640, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000053962, 10090.ENSMUSP00000064385, 10090.ENSMUSP00000074885, 10090.ENSMUSP00000092901, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000112843]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05340</td>\n",
       "      <td>Primary immunodeficiency</td>\n",
       "      <td>0.528634</td>\n",
       "      <td>1.077954</td>\n",
       "      <td>2.400000e-04</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000128401]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04145</td>\n",
       "      <td>Phagosome</td>\n",
       "      <td>0.528032</td>\n",
       "      <td>0.869678</td>\n",
       "      <td>8.770000e-07</td>\n",
       "      <td>13</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000140404, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu04662</td>\n",
       "      <td>B cell receptor signaling pathway</td>\n",
       "      <td>0.526837</td>\n",
       "      <td>0.947025</td>\n",
       "      <td>2.120000e-05</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000043768, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000101657, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000129029]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05150</td>\n",
       "      <td>Staphylococcus aureus infection</td>\n",
       "      <td>0.510241</td>\n",
       "      <td>1.054473</td>\n",
       "      <td>2.900000e-04</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000098436, 10090.ENSMUSP00000107653, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mmu05166</td>\n",
       "      <td>Human T-cell leukemia virus 1 infection</td>\n",
       "      <td>0.501021</td>\n",
       "      <td>0.801748</td>\n",
       "      <td>7.340000e-08</td>\n",
       "      <td>18</td>\n",
       "      <td>[10090.ENSMUSP00000000188, 10090.ENSMUSP00000002101, 10090.ENSMUSP00000021674, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000034534, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000037039, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000057815, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p style=\"margin-top:10px; font-style:italic;\">Showing 20 of 43 enriched terms</p></div></details><details ><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">Gene Ontology Functions (29 terms)</summary><div style=\"padding: 10px;\"><table style=\"border-collapse:collapse; width:100%; text-align:left;\" border=\"1\" class=\"dataframe enrichment-table\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>term</th>\n",
       "      <th>description</th>\n",
       "      <th>signal</th>\n",
       "      <th>strength</th>\n",
       "      <th>fdr</th>\n",
       "      <th>number_of_genes</th>\n",
       "      <th>inputGenes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>GO:0042605</td>\n",
       "      <td>Peptide antigen binding</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>1.531594</td>\n",
       "      <td>1.530000e-07</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042610</td>\n",
       "      <td>CD8 receptor binding</td>\n",
       "      <td>0.695797</td>\n",
       "      <td>1.520313</td>\n",
       "      <td>4.690000e-05</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0046979</td>\n",
       "      <td>TAP2 binding</td>\n",
       "      <td>0.667945</td>\n",
       "      <td>1.488129</td>\n",
       "      <td>5.310000e-05</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0046978</td>\n",
       "      <td>TAP1 binding</td>\n",
       "      <td>0.639822</td>\n",
       "      <td>1.458166</td>\n",
       "      <td>6.430000e-05</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042608</td>\n",
       "      <td>T cell receptor binding</td>\n",
       "      <td>0.630797</td>\n",
       "      <td>1.400174</td>\n",
       "      <td>2.090000e-05</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0003823</td>\n",
       "      <td>Antigen binding</td>\n",
       "      <td>0.576727</td>\n",
       "      <td>1.244286</td>\n",
       "      <td>1.880000e-07</td>\n",
       "      <td>11</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0030881</td>\n",
       "      <td>beta-2-microglobulin binding</td>\n",
       "      <td>0.523778</td>\n",
       "      <td>1.408948</td>\n",
       "      <td>6.500000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042287</td>\n",
       "      <td>MHC protein binding</td>\n",
       "      <td>0.509045</td>\n",
       "      <td>1.219283</td>\n",
       "      <td>7.440000e-06</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000043768, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042288</td>\n",
       "      <td>MHC class I protein binding</td>\n",
       "      <td>0.465867</td>\n",
       "      <td>1.224082</td>\n",
       "      <td>1.100000e-04</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0046703</td>\n",
       "      <td>Natural killer cell lectin-like receptor binding</td>\n",
       "      <td>0.435007</td>\n",
       "      <td>1.299803</td>\n",
       "      <td>1.600000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0016175</td>\n",
       "      <td>Superoxide-generating NAD(P)H oxidase activity</td>\n",
       "      <td>0.431722</td>\n",
       "      <td>1.634257</td>\n",
       "      <td>1.330000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0023026</td>\n",
       "      <td>MHC class II protein complex binding</td>\n",
       "      <td>0.412608</td>\n",
       "      <td>1.378984</td>\n",
       "      <td>5.800000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0030547</td>\n",
       "      <td>Signaling receptor inhibitor activity</td>\n",
       "      <td>0.385379</td>\n",
       "      <td>1.232856</td>\n",
       "      <td>2.800000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000039600, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000098110, 10090.ENSMUSP00000099958, 10090.ENSMUSP00000140287]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0071889</td>\n",
       "      <td>14-3-3 protein binding</td>\n",
       "      <td>0.350228</td>\n",
       "      <td>1.077954</td>\n",
       "      <td>5.900000e-04</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000021552, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000057815, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0070492</td>\n",
       "      <td>Oligosaccharide binding</td>\n",
       "      <td>0.295634</td>\n",
       "      <td>1.378984</td>\n",
       "      <td>4.240000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000027871, 10090.ENSMUSP00000086795, 10090.ENSMUSP00000118169]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0016209</td>\n",
       "      <td>Antioxidant activity</td>\n",
       "      <td>0.287000</td>\n",
       "      <td>0.953016</td>\n",
       "      <td>7.200000e-04</td>\n",
       "      <td>8</td>\n",
       "      <td>[10090.ENSMUSP00000033992, 10090.ENSMUSP00000064385, 10090.ENSMUSP00000071130, 10090.ENSMUSP00000074436, 10090.ENSMUSP00000081010, 10090.ENSMUSP00000112843, 10090.ENSMUSP00000112923, 10090.ENSMUSP00000133302]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042277</td>\n",
       "      <td>Peptide binding</td>\n",
       "      <td>0.195709</td>\n",
       "      <td>0.698498</td>\n",
       "      <td>5.310000e-05</td>\n",
       "      <td>16</td>\n",
       "      <td>[10090.ENSMUSP00000005671, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000058613, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000095253, 10090.ENSMUSP00000112923, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000133302, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0033218</td>\n",
       "      <td>Amide binding</td>\n",
       "      <td>0.161035</td>\n",
       "      <td>0.609433</td>\n",
       "      <td>1.900000e-04</td>\n",
       "      <td>17</td>\n",
       "      <td>[10090.ENSMUSP00000005671, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000058613, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000095253, 10090.ENSMUSP00000110440, 10090.ENSMUSP00000112923, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000133302, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0030545</td>\n",
       "      <td>Signaling receptor regulator activity</td>\n",
       "      <td>0.144578</td>\n",
       "      <td>0.591651</td>\n",
       "      <td>3.700000e-03</td>\n",
       "      <td>13</td>\n",
       "      <td>[10090.ENSMUSP00000025262, 10090.ENSMUSP00000028881, 10090.ENSMUSP00000035009, 10090.ENSMUSP00000039600, 10090.ENSMUSP00000063627, 10090.ENSMUSP00000065940, 10090.ENSMUSP00000070238, 10090.ENSMUSP00000074885, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000098110, 10090.ENSMUSP00000099958, 10090.ENSMUSP00000118169, 10090.ENSMUSP00000140287]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:1901681</td>\n",
       "      <td>Sulfur compound binding</td>\n",
       "      <td>0.130888</td>\n",
       "      <td>0.591288</td>\n",
       "      <td>2.470000e-02</td>\n",
       "      <td>10</td>\n",
       "      <td>[10090.ENSMUSP00000022529, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000034282, 10090.ENSMUSP00000035077, 10090.ENSMUSP00000039600, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000101980, 10090.ENSMUSP00000112923, 10090.ENSMUSP00000133302, 10090.ENSMUSP00000137520]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p style=\"margin-top:10px; font-style:italic;\">Showing 20 of 29 enriched terms</p></div></details><details ><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">Gene Ontology Components (46 terms)</summary><div style=\"padding: 10px;\"><table style=\"border-collapse:collapse; width:100%; text-align:left;\" border=\"1\" class=\"dataframe enrichment-table\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>term</th>\n",
       "      <th>description</th>\n",
       "      <th>signal</th>\n",
       "      <th>strength</th>\n",
       "      <th>fdr</th>\n",
       "      <th>number_of_genes</th>\n",
       "      <th>inputGenes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>GO:0042611</td>\n",
       "      <td>MHC protein complex</td>\n",
       "      <td>0.510178</td>\n",
       "      <td>1.448620</td>\n",
       "      <td>4.700000e-08</td>\n",
       "      <td>9</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0035976</td>\n",
       "      <td>Transcription factor AP-1 complex</td>\n",
       "      <td>0.476990</td>\n",
       "      <td>1.759196</td>\n",
       "      <td>4.000000e-04</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000021674, 10090.ENSMUSP00000064680, 10090.ENSMUSP00000092901, 10090.ENSMUSP00000102711]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0019815</td>\n",
       "      <td>B cell receptor complex</td>\n",
       "      <td>0.404799</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.900000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000129029]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0019814</td>\n",
       "      <td>Immunoglobulin complex</td>\n",
       "      <td>0.403079</td>\n",
       "      <td>1.613067</td>\n",
       "      <td>7.700000e-04</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000129029]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0032398</td>\n",
       "      <td>MHC class Ib protein complex</td>\n",
       "      <td>0.403015</td>\n",
       "      <td>1.513683</td>\n",
       "      <td>2.400000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042612</td>\n",
       "      <td>MHC class I protein complex</td>\n",
       "      <td>0.364062</td>\n",
       "      <td>1.441132</td>\n",
       "      <td>3.500000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042105</td>\n",
       "      <td>Alpha-beta T cell receptor complex</td>\n",
       "      <td>0.319853</td>\n",
       "      <td>1.634257</td>\n",
       "      <td>6.600000e-03</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000099896]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0033106</td>\n",
       "      <td>cis-Golgi network membrane</td>\n",
       "      <td>0.317981</td>\n",
       "      <td>1.350956</td>\n",
       "      <td>5.800000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042613</td>\n",
       "      <td>MHC class II protein complex</td>\n",
       "      <td>0.304548</td>\n",
       "      <td>1.416773</td>\n",
       "      <td>2.400000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042101</td>\n",
       "      <td>T cell receptor complex</td>\n",
       "      <td>0.256551</td>\n",
       "      <td>1.312037</td>\n",
       "      <td>4.700000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0043020</td>\n",
       "      <td>NADPH oxidase complex</td>\n",
       "      <td>0.243366</td>\n",
       "      <td>1.430137</td>\n",
       "      <td>1.580000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0001772</td>\n",
       "      <td>Immunological synapse</td>\n",
       "      <td>0.212011</td>\n",
       "      <td>1.047991</td>\n",
       "      <td>4.700000e-04</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000032997, 10090.ENSMUSP00000033063, 10090.ENSMUSP00000043768, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000118169, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0042824</td>\n",
       "      <td>MHC class I peptide loading complex</td>\n",
       "      <td>0.194968</td>\n",
       "      <td>1.291834</td>\n",
       "      <td>3.040000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000128401, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0071556</td>\n",
       "      <td>Integral component of lumenal side of endoplasmic reticulum membrane</td>\n",
       "      <td>0.167261</td>\n",
       "      <td>1.187099</td>\n",
       "      <td>4.250000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000134550]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0009897</td>\n",
       "      <td>External side of plasma membrane</td>\n",
       "      <td>0.154242</td>\n",
       "      <td>0.778132</td>\n",
       "      <td>2.510000e-12</td>\n",
       "      <td>30</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000003469, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000025561, 10090.ENSMUSP00000027871, 10090.ENSMUSP00000029456, 10090.ENSMUSP00000032492, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000048303, 10090.ENSMUSP00000057983, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000118169, 10090.ENSMUSP00000126422, 10090.ENSMUSP00000129029, 10090.ENSMUSP00000133302, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000140287, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0001533</td>\n",
       "      <td>Cornified envelope</td>\n",
       "      <td>0.146818</td>\n",
       "      <td>1.011008</td>\n",
       "      <td>3.090000e-02</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000025561, 10090.ENSMUSP00000034756, 10090.ENSMUSP00000112843, 10090.ENSMUSP00000118169]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0005771</td>\n",
       "      <td>Multivesicular body</td>\n",
       "      <td>0.144036</td>\n",
       "      <td>0.893894</td>\n",
       "      <td>7.600000e-03</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000056820, 10090.ENSMUSP00000058613, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000151313]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0098797</td>\n",
       "      <td>Plasma membrane protein complex</td>\n",
       "      <td>0.128815</td>\n",
       "      <td>0.699370</td>\n",
       "      <td>3.350000e-09</td>\n",
       "      <td>26</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000003469, 10090.ENSMUSP00000005671, 10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000031670, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000034756, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000069495, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000095253, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000129029, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000140404, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0098552</td>\n",
       "      <td>Side of membrane</td>\n",
       "      <td>0.124352</td>\n",
       "      <td>0.677608</td>\n",
       "      <td>2.510000e-12</td>\n",
       "      <td>36</td>\n",
       "      <td>[10090.ENSMUSP00000001051, 10090.ENSMUSP00000002101, 10090.ENSMUSP00000003469, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000025561, 10090.ENSMUSP00000027871, 10090.ENSMUSP00000029456, 10090.ENSMUSP00000031670, 10090.ENSMUSP00000032492, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000041008, 10090.ENSMUSP00000046105, 10090.ENSMUSP00000048303, 10090.ENSMUSP00000057983, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000077833, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000095171, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000115558, 10090.ENSMUSP00000118169, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000126422, 10090.ENSMUSP00000129029, 10090.ENSMUSP00000133302, 10090.ENSMUSP00000134550, 10090.ENSMUSP00000140287, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GO:0098802</td>\n",
       "      <td>Plasma membrane signaling receptor complex</td>\n",
       "      <td>0.115109</td>\n",
       "      <td>0.719385</td>\n",
       "      <td>1.900000e-03</td>\n",
       "      <td>10</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000003469, 10090.ENSMUSP00000005671, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000068468, 10090.ENSMUSP00000095253, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000113852, 10090.ENSMUSP00000129029]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p style=\"margin-top:10px; font-style:italic;\">Showing 20 of 46 enriched terms</p></div></details><details ><summary style=\"cursor: pointer; font-weight: bold; padding: 10px; background-color: #f8f8f8; border: 1px solid #ddd;\">Reactome Pathways (33 terms)</summary><div style=\"padding: 10px;\"><table style=\"border-collapse:collapse; width:100%; text-align:left;\" border=\"1\" class=\"dataframe enrichment-table\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>term</th>\n",
       "      <th>description</th>\n",
       "      <th>signal</th>\n",
       "      <th>strength</th>\n",
       "      <th>fdr</th>\n",
       "      <th>number_of_genes</th>\n",
       "      <th>inputGenes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>MMU-6799990</td>\n",
       "      <td>Metal sequestration by antimicrobial proteins</td>\n",
       "      <td>0.524295</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>2.800000e-04</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000035077, 10090.ENSMUSP00000053962, 10090.ENSMUSP00000064385, 10090.ENSMUSP00000112843]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-202430</td>\n",
       "      <td>Translocation of ZAP-70 to Immunological synapse</td>\n",
       "      <td>0.429845</td>\n",
       "      <td>1.555076</td>\n",
       "      <td>1.700000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-202433</td>\n",
       "      <td>Generation of second messenger molecules</td>\n",
       "      <td>0.410490</td>\n",
       "      <td>1.400174</td>\n",
       "      <td>1.090000e-05</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000032997, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000087947, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-5690714</td>\n",
       "      <td>CD22 mediated BCR regulation</td>\n",
       "      <td>0.398608</td>\n",
       "      <td>1.613067</td>\n",
       "      <td>8.700000e-04</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000003469, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000129029]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-202427</td>\n",
       "      <td>Phosphorylation of CD3 and TCR zeta chains</td>\n",
       "      <td>0.363382</td>\n",
       "      <td>1.441132</td>\n",
       "      <td>3.600000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-389948</td>\n",
       "      <td>PD-1 signaling</td>\n",
       "      <td>0.346066</td>\n",
       "      <td>1.408948</td>\n",
       "      <td>4.400000e-04</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000125777, 10090.ENSMUSP00000158533]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-6803157</td>\n",
       "      <td>Antimicrobial peptides</td>\n",
       "      <td>0.322933</td>\n",
       "      <td>1.269840</td>\n",
       "      <td>5.240000e-05</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000006679, 10090.ENSMUSP00000035077, 10090.ENSMUSP00000053962, 10090.ENSMUSP00000064385, 10090.ENSMUSP00000089801, 10090.ENSMUSP00000107653, 10090.ENSMUSP00000112843]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-1236977</td>\n",
       "      <td>Endosomal/Vacuolar pathway</td>\n",
       "      <td>0.298921</td>\n",
       "      <td>1.416773</td>\n",
       "      <td>2.900000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-198933</td>\n",
       "      <td>Immunoregulatory interactions between a Lymphoid and a non-Lymphoid cell</td>\n",
       "      <td>0.291573</td>\n",
       "      <td>1.104606</td>\n",
       "      <td>6.020000e-09</td>\n",
       "      <td>14</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000025181, 10090.ENSMUSP00000026565, 10090.ENSMUSP00000027871, 10090.ENSMUSP00000034602, 10090.ENSMUSP00000043768, 10090.ENSMUSP00000070131, 10090.ENSMUSP00000071470, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000099896, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000101657]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-2871796</td>\n",
       "      <td>FCERI mediated MAPK activation</td>\n",
       "      <td>0.280823</td>\n",
       "      <td>1.196054</td>\n",
       "      <td>1.200000e-04</td>\n",
       "      <td>7</td>\n",
       "      <td>[10090.ENSMUSP00000021674, 10090.ENSMUSP00000032997, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000102711, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-1236974</td>\n",
       "      <td>ER-Phagosome pathway</td>\n",
       "      <td>0.265210</td>\n",
       "      <td>1.254046</td>\n",
       "      <td>1.500000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-3299685</td>\n",
       "      <td>Detoxification of Reactive Oxygen Species</td>\n",
       "      <td>0.252429</td>\n",
       "      <td>1.171859</td>\n",
       "      <td>5.800000e-04</td>\n",
       "      <td>6</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000030051, 10090.ENSMUSP00000033992, 10090.ENSMUSP00000081010, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-2029481</td>\n",
       "      <td>FCGR activation</td>\n",
       "      <td>0.241552</td>\n",
       "      <td>1.282074</td>\n",
       "      <td>6.200000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000002101, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-1236973</td>\n",
       "      <td>Cross-presentation of particulate exogenous antigens (phagosomes)</td>\n",
       "      <td>0.237035</td>\n",
       "      <td>1.430137</td>\n",
       "      <td>1.850000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-5621480</td>\n",
       "      <td>Dectin-2 family</td>\n",
       "      <td>0.237035</td>\n",
       "      <td>1.430137</td>\n",
       "      <td>1.850000e-02</td>\n",
       "      <td>3</td>\n",
       "      <td>[10090.ENSMUSP00000038838, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-5668599</td>\n",
       "      <td>RHO GTPases Activate NADPH Oxidases</td>\n",
       "      <td>0.236880</td>\n",
       "      <td>1.193348</td>\n",
       "      <td>2.500000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000015484, 10090.ENSMUSP00000016094, 10090.ENSMUSP00000064385, 10090.ENSMUSP00000112843, 10090.ENSMUSP00000140404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-163754</td>\n",
       "      <td>Insulin effects increased synthesis of Xylulose-5-Phosphate</td>\n",
       "      <td>0.231900</td>\n",
       "      <td>1.856106</td>\n",
       "      <td>4.880000e-02</td>\n",
       "      <td>2</td>\n",
       "      <td>[10090.ENSMUSP00000022529, 10090.ENSMUSP00000026576]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-2730905</td>\n",
       "      <td>Role of LAT2/NTAL/LAB on calcium mobilization</td>\n",
       "      <td>0.219702</td>\n",
       "      <td>1.227717</td>\n",
       "      <td>8.700000e-03</td>\n",
       "      <td>4</td>\n",
       "      <td>[10090.ENSMUSP00000038838, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-983170</td>\n",
       "      <td>Antigen Presentation: Folding, assembly and peptide loading of class I MHC</td>\n",
       "      <td>0.207779</td>\n",
       "      <td>1.123712</td>\n",
       "      <td>4.300000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000025181, 10090.ENSMUSP00000071843, 10090.ENSMUSP00000078927, 10090.ENSMUSP00000080159, 10090.ENSMUSP00000128401]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MMU-2871809</td>\n",
       "      <td>FCERI mediated Ca+2 mobilization</td>\n",
       "      <td>0.196190</td>\n",
       "      <td>1.092678</td>\n",
       "      <td>5.300000e-03</td>\n",
       "      <td>5</td>\n",
       "      <td>[10090.ENSMUSP00000032997, 10090.ENSMUSP00000038838, 10090.ENSMUSP00000078875, 10090.ENSMUSP00000100464, 10090.ENSMUSP00000113852]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p style=\"margin-top:10px; font-style:italic;\">Showing 20 of 33 enriched terms</p></div></details></div>"
      ],
      "text/plain": [
       "<kompot.plot.stringdb.StringDBReport at 0x7f82482a7f90>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sig_genes = adata.var_names[adata.var[f\"kompot_de_{c1}_to_{c2}_is_de\"]]\n",
    "\n",
    "report = kompot.plot.StringDBReport(\n",
    "    sig_genes,\n",
    "    species_id=10090,               # 10090 = Mus musculus, 9606 = Homo sapiens\n",
    "    include_enrichment=True,\n",
    "    background=adata.var_names,      # test against measured genes, not the whole genome\n",
    ")\n",
    "report"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-027",
   "metadata": {},
   "source": [
    "Turn the enriched terms into a compact lollipop plot ([lollipop](https://kompot.readthedocs.io/en/latest/plotting.html#kompot.plot.lollipop)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cell-028",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:57:46.647702Z",
     "iopub.status.busy": "2026-07-11T00:57:46.647209Z",
     "iopub.status.idle": "2026-07-11T00:57:54.240189Z",
     "shell.execute_reply": "2026-07-11T00:57:54.239006Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "enrichment = report.get_functional_enrichment(\"Process\")\n",
    "kompot.plot.lollipop(enrichment, n_terms=12, title=\"Enriched biological processes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-029",
   "metadata": {},
   "source": [
    "### Run history\n",
    "\n",
    "Kompot records every run's parameters and environment. Inspect the latest with\n",
    "[RunInfo](https://kompot.readthedocs.io/en/latest/anndata.html#kompot.anndata.utils.RunInfo):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cell-030",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:57:54.242846Z",
     "iopub.status.busy": "2026-07-11T00:57:54.242563Z",
     "iopub.status.idle": "2026-07-11T00:57:54.250392Z",
     "shell.execute_reply": "2026-07-11T00:57:54.248422Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "            }\n",
       "        </style>\n",
       "        <div class='kompot-runinfo'><h3>Run 0 (DE Analysis)</h3><details open><summary>Run Summary</summary><div class='summary-box'><strong>Analysis:</strong> DE &nbsp;|&nbsp; <strong>Run ID:</strong> 0 &nbsp;|&nbsp; <strong>Timestamp:</strong> 2026-07-11T00:56:48.400793 &nbsp;|&nbsp; <strong>Conditions:</strong> Young to Old<span class='badge badge-success'>All Fields Present</span></div><table><tr><th style='width:30%'>Parameter</th><th style='width:70%'>Value</th></tr><tr><td>conditions</td><td>Young to Old</td></tr><tr><td>obsm_key</td><td>DM_EigenVectors</td></tr><tr><td>uses_sample_variance</td><td>False</td></tr><tr><td>layer</td><td>logged_counts</td></tr><tr><td>timestamp</td><td>2026-07-11T00:56:48.400793</td></tr><tr><td>Fields Created</td><td>9</td></tr></table></details><details><summary>All Parameters</summary><table><tr><th style='width:30%'>Parameter</th><th style='width:70%'>Value</th></tr><tr><td>groupby</td><td>Age</td></tr><tr><td>condition1</td><td>Young</td></tr><tr><td>condition2</td><td>Old</td></tr><tr><td>obsm_key</td><td>DM_EigenVectors</td></tr><tr><td>layer</td><td>logged_counts</td></tr><tr style='background-color:rgba(0,0,0,0.04);'><td colspan='2'><strong>gp</strong></td></tr><tr><td style='padding-left:24px;'>gp.sigma</td><td>1.0</td></tr><tr><td style='padding-left:24px;'>gp.ls_factor</td><td>10.0</td></tr><tr><td style='padding-left:24px;'>gp.n_landmarks</td><td>5000</td></tr><tr><td style='padding-left:24px;'>gp.use_empirical_variance</td><td>False</td></tr><tr><td style='padding-left:24px;'>gp.batch_size</td><td>0</td></tr><tr><td style='padding-left:24px;'>gp.eps</td><td>1e-08</td></tr><tr><td style='padding-left:24px;'>gp.jit_compile</td><td>False</td></tr><tr style='background-color:rgba(0,0,0,0.04);'><td colspan='2'><strong>fdr</strong></td></tr><tr><td style='padding-left:24px;'>fdr.null_genes</td><td>2000</td></tr><tr><td style='padding-left:24px;'>fdr.null_seed</td><td>42</td></tr><tr><td style='padding-left:24px;'>fdr.threshold</td><td>0.05</td></tr><tr><td style='padding-left:24px;'>fdr.combine_with_internal</td><td>False</td></tr><tr style='background-color:rgba(0,0,0,0.04);'><td colspan='2'><strong>filter</strong></td></tr><tr><td style='padding-left:24px;'>filter.min_cells</td><td>2</td></tr><tr style='background-color:rgba(0,0,0,0.04);'><td colspan='2'><strong>storage</strong></td></tr><tr><td style='padding-left:24px;'>storage.result_key</td><td>kompot_de</td></tr><tr><td style='padding-left:24px;'>storage.store_landmarks</td><td>False</td></tr><tr><td style='padding-left:24px;'>storage.store_posterior_covariance</td><td>False</td></tr><tr><td style='padding-left:24px;'>storage.store_additional_stats</td><td>False</td></tr><tr><td style='padding-left:24px;'>storage.max_memory_ratio</td><td>0.8</td></tr><tr style='background-color:rgba(0,0,0,0.04);'><td colspan='2'><strong>output</strong></td></tr><tr><td style='padding-left:24px;'>output.copy</td><td>False</td></tr><tr><td style='padding-left:24px;'>output.inplace</td><td>True</td></tr><tr><td style='padding-left:24px;'>output.return_full_results</td><td>False</td></tr><tr><td style='padding-left:24px;'>output.return_null_data</td><td>False</td></tr><tr><td style='padding-left:24px;'>output.compute_mahalanobis</td><td>True</td></tr><tr><td style='padding-left:24px;'>output.allow_single_condition_variance</td><td>False</td></tr><tr><td style='padding-left:24px;'>output.progress</td><td>True</td></tr><tr><td>result_key</td><td>kompot_de</td></tr></table></details><details><summary>Environment</summary><table><tr><th style='width:30%'>Parameter</th><th style='width:70%'>Value</th></tr><tr><td>hostname</td><td>gizmok87</td></tr><tr><td>package_versions</td><td>&nbsp;&nbsp;anndata: 0.12.19<br>&nbsp;&nbsp;jax: 0.10.2<br>&nbsp;&nbsp;jaxlib: 0.10.2<br>&nbsp;&nbsp;kompot: 0.8.0<br>&nbsp;&nbsp;numpy: 2.4.6<br>&nbsp;&nbsp;pandas: 2.3.3<br>&nbsp;&nbsp;scipy: 1.17.1</td></tr><tr><td>pid</td><td>13995</td></tr><tr><td>platform</td><td>Linux-5.4.0-228-generic-x86_64-with-glibc2.39</td></tr><tr><td>python_version</td><td>3.11.6</td></tr><tr><td>timestamp</td><td>2026-07-11T00:56:48.459886</td></tr><tr><td>username</td><td>dotto</td></tr></table></details><details><summary>Fields Created by This Run</summary><div class='field-section'><div class='summary-box'><strong>Total Fields:</strong> 9 &nbsp;|&nbsp; <strong>Present:</strong> 9 &nbsp;|&nbsp; <strong>Missing:</strong> 0 &nbsp;|&nbsp; <strong>Overwritten:</strong> 0</div><table><tr><th style='width:40%'>Field Name</th><th style='width:10%'>Location</th><th style='width:35%'>Description</th><th style='width:15%'>Status</th></tr><tr><td colspan='4' class='location-header'>LAYERS Fields</td></tr><tr class='field-row'><td>kompot_de_Old_smoothed</td><td>layers</td><td><small>[smoothed]</small> Imputed expression for Old</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_smoothed</td><td>layers</td><td><small>[smoothed]</small> Imputed expression for Young</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_to_Old_fold_change</td><td>layers</td><td><small>[fold_change]</small> Log fold change for each cell and gene</td><td class='active'>Present</td></tr><tr><td colspan='4' class='location-header'>OBS Fields</td></tr><tr class='field-row'><td>kompot_de_Old_std</td><td>obs</td><td><small>[std]</small> Posterior standard deviation of smoothed expression for Old (same for all genes)</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_std</td><td>obs</td><td><small>[std]</small> Posterior standard deviation of smoothed expression for Young (same for all genes)</td><td class='active'>Present</td></tr><tr><td colspan='4' class='location-header'>VAR Fields</td></tr><tr class='field-row'><td>kompot_de_Young_to_Old_is_de</td><td>var</td><td><small>[is_de]</small> Boolean indicator of differential expression at local FDR < 0.05</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_to_Old_mahalanobis</td><td>var</td><td><small>[mahalanobis]</small> Mahalanobis distances</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_to_Old_mahalanobis_local_fdr</td><td>var</td><td><small>[mahalanobis_local_fdr]</small> Local FDR values using empirical null estimation similar to R's fdrtool</td><td class='active'>Present</td></tr><tr class='field-row'><td>kompot_de_Young_to_Old_mean_lfc</td><td>var</td><td><small>[mean_log_fold_change]</small> Mean log fold change values</td><td class='active'>Present</td></tr></table></div></details></div>"
      ],
      "text/plain": [
       "RunInfo(analysis_type=de, run_id=0, timestamp=2026-07-11T00:56:48.400793)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kompot.RunInfo(adata, analysis_type=\"de\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-031",
   "metadata": {},
   "source": [
    "### Save\n",
    "\n",
    "Smoothed-expression layers are large; [cleanup](https://kompot.readthedocs.io/en/latest/anndata.html#kompot.cleanup)\n",
    "drops them while keeping the statistics in `adata.var`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cell-032",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-11T00:57:54.252804Z",
     "iopub.status.busy": "2026-07-11T00:57:54.252479Z",
     "iopub.status.idle": "2026-07-11T00:58:26.383196Z",
     "shell.execute_reply": "2026-07-11T00:58:26.382054Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,254] [INFO    ] Cleaning up all 1 run(s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,436] [INFO    ] Cleaned up 3 field(s) from run 0:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,436] [INFO    ]   layers (3 field(s)):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,437] [INFO    ]     - kompot_de_Young_smoothed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,437] [INFO    ]     - kompot_de_Old_smoothed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,438] [INFO    ]     - kompot_de_Young_to_Old_fold_change\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2026-07-11 00:57:54,438] [INFO    ] Total: Cleaned up 3 field(s) across 1 run(s)\n"
     ]
    }
   ],
   "source": [
    "kompot.cleanup(adata)\n",
    "adata.write_h5ad(\"../data/murine_bone_marrow_aging_processed.h5ad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-033",
   "metadata": {},
   "source": [
    "## Where to go deeper\n",
    "\n",
    "- **[Smoothing expression functions](./05_smooth_expression.ipynb)** \u2014 the GP estimator\n",
    "  underneath DE: length scales, uncertainty, and training on a subset to transfer modalities\n",
    "  or build counterfactuals.\n",
    "- **[Advanced DE options](./02_differential_expression_detailed.ipynb)** \u2014 tuning (including\n",
    "  `ls_factor`, which controls how smooth the expression function is), multiple comparisons,\n",
    "  run tracking, resource planning.\n",
    "- **[DE with sample variance](./03_sample_variance.ipynb)** \u2014 robust significance when you have\n",
    "  biological replicates.\n",
    "- **[Differential abundance](./04_differential_abundance.ipynb)** \u2014 find cell states that change\n",
    "  in frequency.\n",
    "- **[Paper](https://www.biorxiv.org/content/10.1101/2025.06.03.657769)** \u2014 the full method and derivation.\n",
    "- **[Documentation](https://kompot.readthedocs.io)** \u2014 complete API reference."
   ]
  }
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