Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 UGT1A5
Basic gene info.Gene symbolUGT1A5
Gene nameUDP glucuronosyltransferase 1 family, polypeptide A5
SynonymsUDPGT|UDPGT 1-5|UGT1E
CytomapUCSC genome browser: 2q37
Genomic locationchr2 :234621637-234681945
Type of geneprotein-coding
RefGenesNM_019078.1,
Ensembl idENSG00000240224
DescriptionUDP glycosyltransferase 1 family, polypeptide A5UDP-glucuronosyltransferase 1 family polypeptide A5sUDP-glucuronosyltransferase 1-5UDP-glucuronosyltransferase 1-EUDP-glucuronosyltransferase 1A5UGT-1EUGT1*5
Modification date20141211
dbXrefs MIM : 606430
HGNC : HGNC
Ensembl : ENSG00000240224
HPRD : 07335
Vega : OTTHUMG00000059120
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_UGT1A5
BioGPS: 54579
Gene Expression Atlas: ENSG00000240224
The Human Protein Atlas: ENSG00000240224
PathwayNCI Pathway Interaction Database: UGT1A5
KEGG: UGT1A5
REACTOME: UGT1A5
ConsensusPathDB
Pathway Commons: UGT1A5
MetabolismMetaCyc: UGT1A5
HUMANCyc: UGT1A5
RegulationEnsembl's Regulation: ENSG00000240224
miRBase: chr2 :234,621,637-234,681,945
TargetScan: NM_019078
cisRED: ENSG00000240224
ContextiHOP: UGT1A5
cancer metabolism search in PubMed: UGT1A5
UCL Cancer Institute: UGT1A5
Assigned class in ccmGDBC

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Phenotypic Information for UGT1A5(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: UGT1A5
Familial Cancer Database: UGT1A5
* 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
KEGG_ASCORBATE_AND_ALDARATE_METABOLISM
KEGG_STARCH_AND_SUCROSE_METABOLISM
KEGG_RETINOL_METABOLISM
KEGG_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM
KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450
KEGG_DRUG_METABOLISM_CYTOCHROME_P450
KEGG_DRUG_METABOLISM_OTHER_ENZYMES

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: UGT1A5
MedGen: UGT1A5 (Human Medical Genetics with Condition)
ClinVar: UGT1A5
PhenotypeMGI: UGT1A5 (International Mouse Phenotyping Consortium)
PhenomicDB: UGT1A5

Mutations for UGT1A5
* 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 UGT1A5 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
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample          1      
GAIN (# sample)                 
LOSS (# sample)          1      
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)

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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=6

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=55)
Stat. for Synonymous SNVs
(# total SNVs=29)
Stat. for Deletions
(# total SNVs=2)
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
chr2:234621899-234621899p.E88K6
chr2:234681161-234681161p.K521E3
chr2:234676526-234676526p.S344L3
chr2:234622111-234622111p.A158A3
chr2:234621853-234621853p.E72D3
chr2:234621682-234621682p.G15G2
chr2:234680936-234680936p.S446G2
chr2:234622382-234622382p.V249L2
chr2:234675694-234675694p.Y294Y2
chr2:234676536-234676536p.A347A2

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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=3

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample21 52 1  1 721  57 6
# mutation21 52 1  1 821  57 6
nonsynonymous SNV1  41 1  1 611  43 6
synonymous SNV11 11      21   14  
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
chr2:234621853p.E72D3
chr2:234621899p.E88K3
chr2:234621927p.L19I1
chr2:234622156p.A158A1
chr2:234621692p.L248R1
chr2:234622380p.L42L1
chr2:234621970p.A159A1
chr2:234622160p.L256L1
chr2:234621763p.R49W1
chr2:234622403p.S166S1

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 UGT1A5 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 UGT1A5

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

ALDH3A1,BCL2L10,GAGE12J,GAGE13,GAGE2B,GAGE8,GPX2,
GRIN2D,HOXD11,IQCF2,LOC285629,NKX2-4,OPALIN,RBMXL2,
SLC47A2,TBC1D3P2,UGT1A5,VCX,VCX3A,VCX3B,VCY
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA,
NA,NA,NA,NA,NA,NA,NA

ABCG2,ALPI,C11orf86,LINC00520,C1orf94,CAPN11,CDHR2,
CIDEC,CLDN23,DHRS9,FAM25BP,GDPD2,GLRA4,LOC646627,
MYPN,TRANK1,UGT1A1,UGT1A3,UGT1A4,UGT1A5,VSIG1
ACE2,CHRNA2,CREB3L3,CYP2C19,CYP2C9,CYP4F2,CYP4F3,
DPP4,FGF19,FLVCR1,HSD3B1,MEP1B,MUC17,SLC23A1,
SLC6A4,SULT1E1,TM6SF2,AGMO,UGT1A3,UGT1A4,UGT1A5
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 UGT1A5
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB00762UDP glucuronosyltransferase 1 family, polypeptide A5approved; investigationalIrinotecan


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Cross referenced IDs for UGT1A5
* 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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