Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 CGB5
Basic gene info.Gene symbolCGB5
Gene namechorionic gonadotropin, beta polypeptide 5
SynonymsHCG
CytomapUCSC genome browser: 19q13.32
Genomic locationchr19 :49547101-49548568
Type of geneprotein-coding
RefGenesNM_033043.1,
Ensembl idENSG00000189052
Descriptionchorionic gonadotropin beta 5 subunit
Modification date20141207
dbXrefs MIM : 608825
HGNC : HGNC
Ensembl : ENSG00000189052
HPRD : 12309
Vega : OTTHUMG00000183337
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_CGB5
BioGPS: 93659
Gene Expression Atlas: ENSG00000189052
The Human Protein Atlas: ENSG00000189052
PathwayNCI Pathway Interaction Database: CGB5
KEGG: CGB5
REACTOME: CGB5
ConsensusPathDB
Pathway Commons: CGB5
MetabolismMetaCyc: CGB5
HUMANCyc: CGB5
RegulationEnsembl's Regulation: ENSG00000189052
miRBase: chr19 :49,547,101-49,548,568
TargetScan: NM_033043
cisRED: ENSG00000189052
ContextiHOP: CGB5
cancer metabolism search in PubMed: CGB5
UCL Cancer Institute: CGB5
Assigned class in ccmGDBC

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Phenotypic Information for CGB5(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: CGB5
Familial Cancer Database: CGB5
* 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
Orphanet
DiseaseKEGG Disease: CGB5
MedGen: CGB5 (Human Medical Genetics with Condition)
ClinVar: CGB5
PhenotypeMGI: CGB5 (International Mouse Phenotyping Consortium)
PhenomicDB: CGB5

Mutations for CGB5
* 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
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows CGB5 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

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check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
There's no copy number variation information in COSMIC data for this gene.

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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=1

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=4)
Stat. for Synonymous SNVs
(# total SNVs=0)
There's no s-snv.
Stat. for Deletions
(# total SNVs=1)
Stat. for Insertions
(# total SNVs=0)
There's no inserted snv.

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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
chr19:49547477-49547477p.F4Y1
chr19:49547834-49547834p.G6R1
chr19:49547890-49547890p.P24P1
chr19:49548354-49548354p.S101P1
chr19:49548360-49548360p.A103T1
chr19:49548486-49548486p.S147fs*>191

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check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample             1     1
# mutation             1     1
nonsynonymous SNV             1     1
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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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
chr19:49548354p.S101P1
chr19:49548360p.A103T1

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 CGB5 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]

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Gene Expression for CGB5

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))
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check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


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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

CGB,CGB1,CGB5,CGB8,FAM47C,FFAR2,GCG,
GSDMB,INS,LOC727924,LINC00052,OR4M2,OR4N2,OR4N3P,
OR4N4,OR4Q3,PWAR4___F2RL3___PAWR,PPY,SNORD115-26,TEX28,TTR
ARC,LINC01465,CGB5,CHIC2,BLOC1S4,CST13P,DPY30,
GHRH,GNAS-AS1,GNRHR2,GPHA2,IMMP1L,LOC729156,MLF2,
PCDHGA8,PHYHIPL,PRSS38,RAB40B,SCARNA3,SPCS2,SS18L2

ALPP,ALPPL2,C16orf74,CGB,CGB5,CGB7,CGB8,
FAM25A,GALNT9,GAST,KCNA7,KCP,LOC100131726,LOC254312,
LOC283404,LOC644172,MESP2,PADI1,SCEL,SFTA1P,ZBED2
ANGPTL6,LINC00520,CGB5,CYP26C1,ELSPBP1,FAM153A,KAZ,
KRT38,LOC284661,NFKBIZ,OR10G2,OR10S1,OR1L4,OR1N2,
OR2AT4,PRSS42,SCRT2,SNORA16B,TAS2R8,TMEM225,TTTY4C
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

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check002.gifInteracting Genes (from Pathway Commons)

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

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Pharmacological Information for CGB5


There's no related Drug.
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Cross referenced IDs for CGB5
* 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



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