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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for AOC2 |
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Phenotypic Information for AOC2(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: AOC2 |
Familial Cancer Database: AOC2 |
* This gene is included in those cancer gene databases. |
Oncogene 1 | Significant driver gene in |
cf) number; DB name 1 Oncogene; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 2 Tumor Suppressor gene; https://bioinfo.uth.edu/TSGene/, 3 Cancer Gene Census; http://www.nature.com/nrc/journal/v4/n3/abs/nrc1299.html, 4 CancerGenes; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 5 Network of Cancer Gene; http://ncg.kcl.ac.uk/index.php, 1Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/ |
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KEGG_GLYCINE_SERINE_AND_THREONINE_METABOLISM KEGG_TYROSINE_METABOLISM KEGG_PHENYLALANINE_METABOLISM KEGG_BETA_ALANINE_METABOLISM |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: AOC2 |
MedGen: AOC2 (Human Medical Genetics with Condition) | |
ClinVar: AOC2 | |
Phenotype | MGI: AOC2 (International Mouse Phenotyping Consortium) |
PhenomicDB: AOC2 |
Mutations for AOC2 |
* Under tables are showing count per each tissue to give us broad intuition about tissue specific mutation patterns.You can go to the detailed page for each mutation database's web site. |
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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows AOC2 related fusion information. |
ID | Head Gene | Tail Gene | Accession | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=74) | (# total SNVs=20) |
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(# total SNVs=1) | (# total SNVs=2) |
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* When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site,primary_histology,mutation(aa),pubmedID. |
GRCh37 position | Mutation(aa) | Unique sampleID count |
chr17:40997575-40997575 | p.S311L | 3 |
chr17:41002212-41002212 | p.F706L | 2 |
chr17:40996662-40996662 | p.L7L | 2 |
chr17:40997561-40997561 | p.P306P | 2 |
chr17:41002100-41002100 | p.D669G | 2 |
chr17:40997528-40997528 | p.S295S | 2 |
chr17:40998030-40998030 | p.G463S | 2 |
chr17:40997546-40997546 | p.S301S | 1 |
chr17:40997946-40997946 | p.R435* | 1 |
chr17:40997011-40997011 | p.I123T | 1 |
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Point Mutation/ Tissue ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
# sample |   | 2 |   | 12 | 2 |   | 3 |   | 4 | 1 |   | 6 | 6 | 2 |   |   | 9 | 5 |   | 7 |
# mutation |   | 2 |   | 11 | 2 |   | 3 |   | 4 | 1 |   | 6 | 6 | 2 |   |   | 10 | 5 |   | 6 |
nonsynonymous SNV |   | 1 |   | 8 | 2 |   | 2 |   | 3 | 1 |   | 2 | 3 | 1 |   |   | 5 | 5 |   | 5 |
synonymous SNV |   | 1 |   | 3 |   |   | 1 |   | 1 |   |   | 4 | 3 | 1 |   |   | 5 |   |   | 1 |
cf) Tissue ID; Tissue type (1; BLCA[Bladder Urothelial Carcinoma], 2; BRCA[Breast invasive carcinoma], 3; CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], 4; COAD[Colon adenocarcinoma], 5; GBM[Glioblastoma multiforme], 6; Glioma Low Grade, 7; HNSC[Head and Neck squamous cell carcinoma], 8; KICH[Kidney Chromophobe], 9; KIRC[Kidney renal clear cell carcinoma], 10; KIRP[Kidney renal papillary cell carcinoma], 11; LAML[Acute Myeloid Leukemia], 12; LUAD[Lung adenocarcinoma], 13; LUSC[Lung squamous cell carcinoma], 14; OV[Ovarian serous cystadenocarcinoma ], 15; PAAD[Pancreatic adenocarcinoma], 16; PRAD[Prostate adenocarcinoma], 17; SKCM[Skin Cutaneous Melanoma], 18:STAD[Stomach adenocarcinoma], 19:THCA[Thyroid carcinoma], 20:UCEC[Uterine Corpus Endometrial Carcinoma]) |
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* We represented just top 10 SNVs. When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site, primary_histology, mutation(aa), pubmedID. |
Genomic Position | Mutation(aa) | Unique sampleID count |
chr17:41002212 | p.F679F,AOC2 | 3 |
chr17:40997575 | p.S311L,AOC2 | 2 |
chr17:40997755 | p.P371L,AOC2 | 2 |
chr17:41001202 | p.P606P | 1 |
chr17:40997147 | p.R279W,AOC2 | 1 |
chr17:41002241 | p.N439K,AOC2 | 1 |
chr17:40996773 | p.Q605H,AOC2 | 1 |
chr17:40997973 | p.A44T,AOC2 | 1 |
chr17:41001205 | p.V282L,AOC2 | 1 |
chr17:40997280 | p.H444Y,AOC2 | 1 |
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* Copy number data were extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered on Jan-05-2015. Function ProcessCNAData in TCGA-Assembler package was used to obtain gene-level copy number value which is calculated as the average copy number of the genomic region of a gene. |
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cf) Tissue ID[Tissue type]: BLCA[Bladder Urothelial Carcinoma], BRCA[Breast invasive carcinoma], CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], COAD[Colon adenocarcinoma], GBM[Glioblastoma multiforme], Glioma Low Grade, HNSC[Head and Neck squamous cell carcinoma], KICH[Kidney Chromophobe], KIRC[Kidney renal clear cell carcinoma], KIRP[Kidney renal papillary cell carcinoma], LAML[Acute Myeloid Leukemia], LUAD[Lung adenocarcinoma], LUSC[Lung squamous cell carcinoma], OV[Ovarian serous cystadenocarcinoma ], PAAD[Pancreatic adenocarcinoma], PRAD[Prostate adenocarcinoma], SKCM[Skin Cutaneous Melanoma], STAD[Stomach adenocarcinoma], THCA[Thyroid carcinoma], UCEC[Uterine Corpus Endometrial Carcinoma] |
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Gene Expression for AOC2 |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* Normalized gene expression data of RNASeqV2 was extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered at Jan-05-2015. Only eight cancer types have enough normal control samples for differential expression analysis. (t test, adjusted p<0.05 (using Benjamini-Hochberg FDR)) |
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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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AOC2,FOXL2NB,MGARP,CYP11A1,CYP17A1,CYP19A1,FSHR, HPCAL4,HSD11B1,HSD3B1,INSL3,KLHL4,LHCGR,MBOAT4, MRAP,MRO,SCARB1,STAR,TCF21,TCF23,TREML5P | AOC2,AOC3,BHMT2,BTD,CCDC69,DHDDS,EHD2, GLP2R,ITIH5,ITPK1,MRAS,MYO1C,PLXNA4,RDH5, RETSAT,SORBS1,SPTBN1,TFE3,TK2,TLN2,VKORC1L1 |
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ACSM5,ADAM2,AOC2,ARSB,C2CD4B,CTAG2,FAM133A, GP9,IL19,LOC100144604,MYO3B,OR2M2,OR5J2,PAGE1, PTCHD3,SLC6A13,SPAG11A,SPAG11B,ST8SIA5,TAAR5,TPH1, UG | AASS,ADAMTS9,AOC2,ATP11A,AVPR1A,CACNA1E,CCP110, FILIP1L,INTS3,KCNQ1OT1,KLC2,LOC643837,PCDHB5,PTPN11, RBM46,S1PR1,S1PR3,SASH1,SOX7,TAL1,VEGFC |
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* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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Pharmacological Information for AOC2 |
There's no related Drug. |
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Cross referenced IDs for AOC2 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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