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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GSTT2 |
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Phenotypic Information for GSTT2(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: GSTT2 |
Familial Cancer Database: GSTT2 |
* This gene is included in those cancer gene databases. |
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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_GLUTATHIONE_METABOLISM KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450 KEGG_DRUG_METABOLISM_CYTOCHROME_P450 |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: GSTT2 |
MedGen: GSTT2 (Human Medical Genetics with Condition) | |
ClinVar: GSTT2 | |
Phenotype | MGI: GSTT2 (International Mouse Phenotyping Consortium) |
PhenomicDB: GSTT2 |
Mutations for GSTT2 |
* 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 GSTT2 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=4) | (# total SNVs=3) |
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(# total SNVs=0) | (# total SNVs=0) |
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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 |
chr22:24325605-24325605 | p.Y181* | 2 |
chr22:24323179-24323179 | p.L51L | 1 |
chr22:24323194-24323194 | p.T56T | 1 |
chr22:24323218-24323218 | p.L64F | 1 |
chr22:24323226-24323226 | p.S67N | 1 |
chr22:24323227-24323227 | p.? | 1 |
chr22:24324928-24324928 | p.D104N | 1 |
chr22:24325062-24325062 | p.V118M | 1 |
chr22:24325095-24325095 | p.K129E | 1 |
chr22:24323131-24323131 | p.? | 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 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
# mutation |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
nonsynonymous SNV |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
synonymous SNV |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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 |
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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 GSTT2 |
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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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AACS,ACSBG1,AKR1D1,LINC01554,CLEC4C,FCN2,GSTM2P1, GSTM5,GSTT2,GUSB,HIST3H3,LOC91948,MAGEB3,MYOM2, NANOG,LINC00160,NR1H4,RNASE11,RNASE12,SLC6A3,TMPRSS9 | ABCC11,ABCC2,AKR1D1,B3GAT1,C6orf223,CLDN14,CPB2, FIBCD1,GSTT2,HMGCR,HMGCS1,LOC255167,LRFN2,MVD, MSMO1,SLC5A11,SLCO1B1,SYCP1,TARP,TRPC7,ZP2 | ||||
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ANXA5,ARHGAP10,ARHGAP29,CORO6,ELOVL4,FAM124A,GLI3, GSTT2,HCG4,KIAA1462,NIM1K,NTNG1,PABPC4L,PALLD, PODXL,RAB34,RGS2,RNF144B,SCHIP1,SRPX,VEGFC | ATP2B3,BOC,SSR4P1,COL6A3,FZD4,GPIHBP1,GSTT2, HIST2H2BA,HMX1,LEFTY2,LRRC2,LYPD2,MAN1C1,MAP3K3, MYH10,OLFML3,SEZ6L,STC2,SV2B,THBS2,TSHZ2 |
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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 GSTT2 |
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DB Category | DB Name | DB's ID and Url link |
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* Gene Centered Interaction Network. |
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* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB00515 | glutathione S-transferase theta 2 | approved | Cisplatin | ![]() | ![]() |
DB01248 | glutathione S-transferase theta 2 | approved; investigational | Docetaxel | ![]() | ![]() |
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Cross referenced IDs for GSTT2 |
* 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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