\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " gene | \n",
- " Entrez_Gene_Id | \n",
- " NCBI_Build | \n",
- " Chromosome | \n",
- " Start_position | \n",
- " End_position | \n",
- " Strand | \n",
- " Variant_Classification | \n",
- " Variant_Type | \n",
- " Reference_Allele | \n",
- " ... | \n",
- " isCOSMIChotspot | \n",
- " COSMIChsCnt | \n",
- " ExAC_AF | \n",
- " Variant_annotation | \n",
- " CGA_WES_AC | \n",
- " HC_AC | \n",
- " RD_AC | \n",
- " RNAseq_AC | \n",
- " SangerWES_AC | \n",
- " WGS_AC | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " VPS13D | \n",
- " 55187 | \n",
- " 37 | \n",
- " 1 | \n",
- " 12359347 | \n",
- " 12359347 | \n",
- " + | \n",
- " Nonsense_Mutation | \n",
- " SNP | \n",
- " C | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " damaging | \n",
- " 34:213 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " 34:221 | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 1 | \n",
- " AADACL4 | \n",
- " 343066 | \n",
- " 37 | \n",
- " 1 | \n",
- " 12726308 | \n",
- " 12726322 | \n",
- " + | \n",
- " In_Frame_Del | \n",
- " DEL | \n",
- " CTGGCGTGACGCCAT | \n",
- " ... | \n",
- " False | \n",
- " 3.0 | \n",
- " NaN | \n",
- " other non-conserving | \n",
- " 57:141 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " 9:0 | \n",
- " 28:32 | \n",
- "
\n",
- " \n",
- " 2 | \n",
- " IFNLR1 | \n",
- " 163702 | \n",
- " 37 | \n",
- " 1 | \n",
- " 24484172 | \n",
- " 24484172 | \n",
- " + | \n",
- " Silent | \n",
- " SNP | \n",
- " G | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " silent | \n",
- " 118:0 | \n",
- " NaN | \n",
- " NaN | \n",
- " 10:0 | \n",
- " 118:0 | \n",
- " 18:0 | \n",
- "
\n",
- " \n",
- " 3 | \n",
- " TMEM57 | \n",
- " 55219 | \n",
- " 37 | \n",
- " 1 | \n",
- " 25785018 | \n",
- " 25785019 | \n",
- " + | \n",
- " Frame_Shift_Ins | \n",
- " INS | \n",
- " - | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " damaging | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " 6:28 | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 4 | \n",
- " ZSCAN20 | \n",
- " 7579 | \n",
- " 37 | \n",
- " 1 | \n",
- " 33954141 | \n",
- " 33954141 | \n",
- " + | \n",
- " Missense_Mutation | \n",
- " SNP | \n",
- " T | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " other non-conserving | \n",
- " 28:62 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " 27:61 | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- "
\n",
- " \n",
- " 1230240 | \n",
- " SLC39A4 | \n",
- " 55630 | \n",
- " 37 | \n",
- " 8 | \n",
- " 145641991 | \n",
- " 145641991 | \n",
- " + | \n",
- " Silent | \n",
- " SNP | \n",
- " C | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " 0.000017 | \n",
- " silent | \n",
- " 52:23 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 1230241 | \n",
- " TAL2 | \n",
- " 6887 | \n",
- " 37 | \n",
- " 9 | \n",
- " 108424778 | \n",
- " 108424778 | \n",
- " + | \n",
- " Start_Codon_SNP | \n",
- " SNP | \n",
- " A | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " damaging | \n",
- " 27:0 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 1230242 | \n",
- " TRO | \n",
- " 7216 | \n",
- " 37 | \n",
- " X | \n",
- " 54955098 | \n",
- " 54955098 | \n",
- " + | \n",
- " Silent | \n",
- " SNP | \n",
- " C | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " silent | \n",
- " 5:16 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 1230243 | \n",
- " USP51 | \n",
- " 158880 | \n",
- " 37 | \n",
- " X | \n",
- " 55514703 | \n",
- " 55514703 | \n",
- " + | \n",
- " Missense_Mutation | \n",
- " SNP | \n",
- " G | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " other non-conserving | \n",
- " 23:0 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- " 1230244 | \n",
- " C1GALT1C1 | \n",
- " 29071 | \n",
- " 37 | \n",
- " X | \n",
- " 119760406 | \n",
- " 119760406 | \n",
- " + | \n",
- " Missense_Mutation | \n",
- " SNP | \n",
- " T | \n",
- " ... | \n",
- " False | \n",
- " 0.0 | \n",
- " NaN | \n",
- " other non-conserving | \n",
- " 28:0 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- "
\n",
- " \n",
- "
\n",
- "
1230245 rows × 32 columns
\n",
- "
"
- ],
- "text/plain": [
- " gene Entrez_Gene_Id NCBI_Build Chromosome Start_position \\\n",
- "0 VPS13D 55187 37 1 12359347 \n",
- "1 AADACL4 343066 37 1 12726308 \n",
- "2 IFNLR1 163702 37 1 24484172 \n",
- "3 TMEM57 55219 37 1 25785018 \n",
- "4 ZSCAN20 7579 37 1 33954141 \n",
- "... ... ... ... ... ... \n",
- "1230240 SLC39A4 55630 37 8 145641991 \n",
- "1230241 TAL2 6887 37 9 108424778 \n",
- "1230242 TRO 7216 37 X 54955098 \n",
- "1230243 USP51 158880 37 X 55514703 \n",
- "1230244 C1GALT1C1 29071 37 X 119760406 \n",
- "\n",
- " End_position Strand Variant_Classification Variant_Type \\\n",
- "0 12359347 + Nonsense_Mutation SNP \n",
- "1 12726322 + In_Frame_Del DEL \n",
- "2 24484172 + Silent SNP \n",
- "3 25785019 + Frame_Shift_Ins INS \n",
- "4 33954141 + Missense_Mutation SNP \n",
- "... ... ... ... ... \n",
- "1230240 145641991 + Silent SNP \n",
- "1230241 108424778 + Start_Codon_SNP SNP \n",
- "1230242 54955098 + Silent SNP \n",
- "1230243 55514703 + Missense_Mutation SNP \n",
- "1230244 119760406 + Missense_Mutation SNP \n",
- "\n",
- " Reference_Allele ... isCOSMIChotspot COSMIChsCnt ExAC_AF \\\n",
- "0 C ... False 0.0 NaN \n",
- "1 CTGGCGTGACGCCAT ... False 3.0 NaN \n",
- "2 G ... False 0.0 NaN \n",
- "3 - ... False 0.0 NaN \n",
- "4 T ... False 0.0 NaN \n",
- "... ... ... ... ... ... \n",
- "1230240 C ... False 0.0 0.000017 \n",
- "1230241 A ... False 0.0 NaN \n",
- "1230242 C ... False 0.0 NaN \n",
- "1230243 G ... False 0.0 NaN \n",
- "1230244 T ... False 0.0 NaN \n",
- "\n",
- " Variant_annotation CGA_WES_AC HC_AC RD_AC RNAseq_AC SangerWES_AC \\\n",
- "0 damaging 34:213 NaN NaN NaN 34:221 \n",
- "1 other non-conserving 57:141 NaN NaN NaN 9:0 \n",
- "2 silent 118:0 NaN NaN 10:0 118:0 \n",
- "3 damaging NaN NaN NaN 6:28 NaN \n",
- "4 other non-conserving 28:62 NaN NaN NaN 27:61 \n",
- "... ... ... ... ... ... ... \n",
- "1230240 silent 52:23 NaN NaN NaN NaN \n",
- "1230241 damaging 27:0 NaN NaN NaN NaN \n",
- "1230242 silent 5:16 NaN NaN NaN NaN \n",
- "1230243 other non-conserving 23:0 NaN NaN NaN NaN \n",
- "1230244 other non-conserving 28:0 NaN NaN NaN NaN \n",
- "\n",
- " WGS_AC \n",
- "0 NaN \n",
- "1 28:32 \n",
- "2 18:0 \n",
- "3 NaN \n",
- "4 NaN \n",
- "... ... \n",
- "1230240 NaN \n",
- "1230241 NaN \n",
- "1230242 NaN \n",
- "1230243 NaN \n",
- "1230244 NaN \n",
- "\n",
- "[1230245 rows x 32 columns]"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "can.data.load(\"mutations\")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "2421b512",
- "metadata": {},
- "source": [
- "I want to look at BRCA1 mutations in these types of cancers. I start by using the mutated function to identify ovarian and breast cancer cell lines with BRCA1 mutations. A cancer object's mutated method's default behavior is to output a list of depmap ids corresponding to celllines containing any mutation within the given genes. I then instantiate CellLineCluster objects of exclusively mutated or wild type cell lines for both breast and ovarian cancer. This makes comparing these cell lines easier.\n",
- " "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "28fb0265",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\n",
- "\n",
- "True\n",
- "True\n"
- ]
- }
- ],
- "source": [
- "ov_mt_list = ov.mutated([\"BRCA1\"]) #List of depmap_ids\n",
- "br_mt_list = br.mutated([\"BRCA1\"]) #list of depmap_ids\n",
- "\n",
- "ov_mt = can.CellLineCluster(ov_mt_list) #CellLineCluster obj\n",
- "br_mt = can.CellLineCluster(br_mt_list)\n",
- "\n",
- "\n",
- "print(\"Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\\n\")\n",
- "print(ov_mt.depmap_ids == ov_mt_list)\n",
- "\n",
- "#CellLineCluster ojbect must be instantiated with a mutable sequence\n",
- "#I use set operations to get wild type cell line ids and convert to a list\n",
- "ov_wt_list = list(set(ov.depmap_ids) - set(ov_mt_list))\n",
- "br_wt_list = list(set(br.depmap_ids) - set(br_mt_list))\n",
- "\n",
- "ov_wt = can.CellLineCluster(ov_wt_list)\n",
- "br_wt = can.CellLineCluster(br_wt_list)\n",
- "print(ov_wt.depmap_ids == ov_wt_list)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "cb1fd667",
- "metadata": {},
- "source": [
- "### Cross Referencing Mutation and Gene Knockout Data\n",
- "I'm interested in how the mutation status of BRCA1 effects a cancer's dependency on the fanconi anemia genes.\n",
- "To visualize this relationship I am going to make a heatmap of fanconi anemia genes sorting the cell lines by their BRCA1 mutation status. The following cell defines a function that plots a heatmap of the gene effect of the fanconi anemia genes separating them by the BRCA1 mutation status of a given cell line. \n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "0a51271e",
- "metadata": {},
- "outputs": [],
- "source": [
- "def gene_effect_heatmap(obj1, obj2, genes, name = None):\n",
- " \n",
- " #Make Figure appropriate size, dpi, and font\n",
- " plt.rcParams.update({\"figure.figsize\": (16, 6),\n",
- " \"savefig.dpi\": 300,\n",
- " \"font.size\": 12\n",
- " })\n",
- " \n",
- " #One figure with one subplot\n",
- " fig, ax = plt.subplots(1,1)\n",
- " \n",
- " #Construcat matrix to make heatmap and cell line labels\n",
- " data = pd.concat([obj1.effect_of(genes), obj2.effect_of(genes)], axis=1)\n",
- " names = can.data.cell_lines.loc[data.columns, \"cell_line_name\"]\n",
- " \n",
- " # We want to show all ticks...\n",
- " ax.set_xticks(np.arange(len(names)))\n",
- " ax.set_yticks(np.arange(len(genes)))\n",
- " # ... and label them with the respective list entries\n",
- " ax.set_xticklabels(names)\n",
- " ax.set_yticklabels(genes)\n",
- " \n",
- " #make heatmap\n",
- " im = ax.imshow(data, cmap=\"RdBu\")\n",
- " \n",
- " #Make colorbar scale to axis\n",
- " divider = make_axes_locatable(ax)\n",
- " cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
- " cbar = ax.figure.colorbar(im, ax = ax, cax = cax)\n",
- " cbar.ax.set_ylabel(\"Gene Effect\", rotation=-90, va=\"bottom\")\n",
- " \n",
- " #Draw Dividing line btween mutant and\n",
- " ax.axvline(x=obj1.gene_effect.shape[1] - 0.5, c = \"black\", linewidth = 3)\n",
- " plt.setp(ax.get_xticklabels(), rotation=-90, ha=\"left\", va=\"center\",\n",
- " rotation_mode=\"anchor\")\n",
- " plt.tight_layout()\n",
- " plt.show()\n",
- " \n",
- " if name:\n",
- " fig.savefig(name, dpi=300)\n"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "9ed37fc0",
- "metadata": {},
- "source": [
- "### Fanconi Anemia Genes Knockout Effect in Ovarian Cancer\n",
- "BRCA1 Mutant Left of Vertical Line"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "a3adc292",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Load Complete\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
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