Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

Home

Search

Download

 Statistics

Help

About Us

Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

Gene Summary

Phenotypic Information (metabolism pathway, cancer, disease, phenome)

Mutations: SVs, CNVs, SNVs

Gene expression: GE, Protein, DEGE, CNV vs GE

Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG

Pharmacological Information: Drug-Gene Network

Cross referenced IDs

Gene Summary for INHBA
Basic gene info.Gene symbolINHBA
Gene nameinhibin, beta A
SynonymsEDF|FRP
CytomapUCSC genome browser: 7p15-p13
Genomic locationchr7 :41728600-41742706
Type of geneprotein-coding
RefGenesNM_002192.2,
Ensembl idENSG00000122641
DescriptionFSH-releasing proteinInhibin, beta-1activin beta-A chainerythroid differentiation factorerythroid differentiation proteinfollicle-stimulating hormone-releasing proteininhibin beta A chaininhibin, beta A (activin A, activin AB alpha polypeptide)
Modification date20141222
dbXrefs MIM : 147290
HGNC : HGNC
HPRD : 00929
ProteinUniProt: P08476
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_INHBA
BioGPS: 3624
Gene Expression Atlas: ENSG00000122641
The Human Protein Atlas: ENSG00000122641
PathwayNCI Pathway Interaction Database: INHBA
KEGG: INHBA
REACTOME: INHBA
ConsensusPathDB
Pathway Commons: INHBA
MetabolismMetaCyc: INHBA
HUMANCyc: INHBA
RegulationEnsembl's Regulation: ENSG00000122641
miRBase: chr7 :41,728,600-41,742,706
TargetScan: NM_002192
cisRED: ENSG00000122641
ContextiHOP: INHBA
cancer metabolism search in PubMed: INHBA
UCL Cancer Institute: INHBA
Assigned class in ccmGDBB - This gene belongs to cancer gene.

Top
Phenotypic Information for INHBA(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: INHBA
Familial Cancer Database: INHBA
* This gene is included in those cancer gene databases.

Oncogene 1

Tumor Suppressor gene 2

Cancer Gene Census 3

CancerGenes 4

Network of Cancer Gene 5

Significant driver gene in

Therapeutic Vulnerabilities in Cancer1

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/

check002.gifMetabolic Pathway Description
REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES

check002.gifOthers
OMIM 147290; gene.
Orphanet 213504; Adenocarcinoma of ovary.
DiseaseKEGG Disease: INHBA
MedGen: INHBA (Human Medical Genetics with Condition)
ClinVar: INHBA
PhenotypeMGI: INHBA (International Mouse Phenotyping Consortium)
PhenomicDB: INHBA

Mutations for INHBA
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram

- Statistics for Tissue and Mutation typeTop
- For Inter-chromosomal Variations
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'.
- For Intra-chromosomal Variations
* Intra-chromosomal variantions includes 'intrachromosomal amplicon to amplicon', 'intrachromosomal amplicon to non-amplified dna', 'intrachromosomal deletion', 'intrachromosomal fold-back inversion', 'intrachromosomal inversion', 'intrachromosomal tandem duplication', 'Intrachromosomal unknown type', 'intrachromosomal with inverted orientation', 'intrachromosomal with non-inverted orientation'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
breastINHBAchr74173589941735899chr158407237184072371
ovaryINHBAchr74174085641740876INHBAchr74173624441736264
cf) Tissue number; Tissue name (1;Breast, 2;Central_nervous_system, 3;Haematopoietic_and_lymphoid_tissue, 4;Large_intestine, 5;Liver, 6;Lung, 7;Ovary, 8;Pancreas, 9;Prostate, 10;Skin, 11;Soft_tissue, 12;Upper_aerodigestive_tract)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows INHBA related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

Top
check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample             1   
GAIN (# sample)             1   
LOSS (# sample)                 
cf) Tissue ID; Tissue type (1; Breast, 2; Central_nervous_system, 3; Cervix, 4; Endometrium, 5; Haematopoietic_and_lymphoid_tissue, 6; Kidney, 7; Large_intestine, 8; Liver, 9; Lung, 10; NS, 11; Ovary, 12; Pancreas, 13; Prostate, 14; Skin, 15; Stomach, 16; Thyroid, 17; Urinary_tract)

Top
check002.gifSNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation

 : Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=6

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=96)
Stat. for Synonymous SNVs
(# total SNVs=24)
Stat. for Deletions
(# total SNVs=3)
Stat. for Insertions
(# total SNVs=3)

Top
check002.gifTop 10 SNVs Having the Most Samples in COSMIC data
* 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 positionMutation(aa)Unique sampleID count
chr7:41729272-41729272p.I419I3
chr7:41739626-41739626p.L116P3
chr7:41729708-41729708p.G274V3
chr7:41729709-41729709p.G274R3
chr7:41729399-41729399p.R377H3
chr7:41739894-41739894p.E27K2
chr7:41729879-41729879p.T217I2
chr7:41729749-41729749p.K260K2
chr7:41729601-41729601p.R310W2
chr7:41729504-41729504p.P342L2

Top
check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=4

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample25 223 1 2  2662 2191228
# mutation25 203 1 2  2662 2221129
nonsynonymous SNV 2 162 1 2  2152 217927
synonymous SNV23 41      51   52 2
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])

Top
check002.gifTop 10 SNVs Having the Most Samples in TCGA data
* 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 PositionMutation(aa)Unique sampleID count
chr7:41729272p.I419I3
chr7:41729399p.R377H3
chr7:41739626p.G274V2
chr7:41729504p.T217I2
chr7:41739824p.K215E2
chr7:41729665p.R310W2
chr7:41729928p.A81E2
chr7:41739857p.R379Q2
chr7:41729775p.A252T2
chr7:41730112p.E139D2

check002.gifOther DBs for Point Mutations
Point Mutation Table of Ensembl: go to Ensembl variation table
Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

check002.gifCopy Number for INHBA in TCGA
* 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.
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]

Top
Gene Expression for INHBA

check002.gifGene Expression in Cancer Cell-lines (CCLE)
* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data.

check002.gifDifferential Gene Expression in Primary Tumors (TCGA)
* 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))
Top
check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


Top
Gene-Gene Network Information
check002.gifCo-Expressed gene's network Plot
* 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

: Open all plots for all cancer types

ADAMTS12,ADAMTS2,ANTXR1,CDH11,COL10A1,COL11A1,COL12A1,
COL5A2,COL8A1,DACT1,FAM26E,FAP,FBN1,FN1,
INHBA,ITGA11,MXRA5,NID2,NOX4,THBS2,VCAN
A2ML1,ATP8B2,VRTN,C3orf30,CNTN4,SPATA31A2,HSD17B6,
INHBA,ITGA8,ITIH3,KIF1A,LOC153910,MRVI1,P2RX1,
RYR2,SCUBE3,SMAD9,SUSD5,TRPC4,WFDC1,ZFP42

ADAMTS12,ARSI,BICC1,CDK14,CERCAM,COL11A1,COL1A2,
COL5A1,COL5A2,COL6A3,FRMD6,GPC6,INHBA,KCND2,
PDGFC,PDGFRB,POSTN,SPARC,TIMP2,VASN,VCAN
ABL2,ADAMTS9,ALPL,AOC2,AVPR1A,CFAP46,C1orf111,
AGO2,FAM98A,INHBA,LDLRAD3,LRP8,MAP3K6,NOV,
NOVA2,OSMR,SELP,SH3RF3,SHISA6,SRM,VEGFC
check002.gifCo-Expressed gene's Protein-protein interaction Network Plot
* 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

: Open all plots for all cancer types

Top
check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

Top
Pharmacological Information for INHBA


There's no related Drug.
Top
Cross referenced IDs for INHBA
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information



Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @
Site Policies | State of Texas