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 GLCE
Basic gene info.Gene symbolGLCE
Gene nameglucuronic acid epimerase
SynonymsHSEPI
CytomapUCSC genome browser: 15q23
Genomic locationchr15 :69452972-69564544
Type of geneprotein-coding
RefGenesNM_015554.1,
Ensembl idENSG00000138604
DescriptionD-glucuronyl C5-epimeraseUDP-glucuronic acid epimeraseglucuronyl C5-epimeraseheparan sulfate C5-epimeraseheparan sulfate epimeraseheparin/heparan sulfate-glucuronic acid C5-epimeraseheparin/heparan sulfate:glucuronic acid C5-epimeraseheparosan-N-su
Modification date20141207
dbXrefs MIM : 612134
HGNC : HGNC
Ensembl : ENSG00000138604
HPRD : 07020
Vega : OTTHUMG00000172084
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_GLCE
BioGPS: 26035
Gene Expression Atlas: ENSG00000138604
The Human Protein Atlas: ENSG00000138604
PathwayNCI Pathway Interaction Database: GLCE
KEGG: GLCE
REACTOME: GLCE
ConsensusPathDB
Pathway Commons: GLCE
MetabolismMetaCyc: GLCE
HUMANCyc: GLCE
RegulationEnsembl's Regulation: ENSG00000138604
miRBase: chr15 :69,452,972-69,564,544
TargetScan: NM_015554
cisRED: ENSG00000138604
ContextiHOP: GLCE
cancer metabolism search in PubMed: GLCE
UCL Cancer Institute: GLCE
Assigned class in ccmGDBC

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Phenotypic Information for GLCE(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: GLCE
Familial Cancer Database: GLCE
* 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_CARBOHYDRATES

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

Mutations for GLCE
* 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
There's no inter-chromosomal structural variation.
- 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
NSGLCEchr156948013269480132NTRK3chr158877316688773166
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 GLCE 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 # sample1            1  1
GAIN (# sample)1            1  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)

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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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=44)
Stat. for Synonymous SNVs
(# total SNVs=9)
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
chr15:69548164-69548164p.R7R2
chr15:69553539-69553539p.E234K2
chr15:69548171-69548171p.N9S2
chr15:69561148-69561148p.A473A2
chr15:69548267-69548267p.R41Q2
chr15:69561347-69561347p.R540C2
chr15:69561363-69561363p.L545P2
chr15:69553428-69553428p.V197M2
chr15:69553500-69553500p.H221Y2
chr15:69561428-69561428p.L567F1

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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
# sample2317   13  4 3  9315
# mutation3319   13  5 3  9316
nonsynonymous SNV2318   13  5 2  73 5
synonymous SNV1  1         1  2 11
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
chr15:69548197p.A18T1
chr15:69561195p.T251N1
chr15:69548607p.V489A1
chr15:69561469p.S44I1
chr15:69560841p.A259V1
chr15:69548276p.D495D1
chr15:69561214p.F52L1
chr15:69548672p.D291H1
chr15:69561478p.E528G1
chr15:69560895p.E60Q1

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 GLCE 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 GLCE

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

AFF3,AHCYL2,APH1B,BAZ2B,BCL2,DACH1,DCTN4,
FAM73A,FOXA1,FRY,GLCE,IQCH,MTMR10,NEDD4L,
RNF111,SCAMP1,SETBP1,SIN3A,THSD4,TMEM181,EWSAT1
AK9,ANKRD50,ARHGEF12,ARID2,ATP7A,CTR9,GLCE,
MEGF9,PDS5B,RALGAPB,SLC35A3,SPIN1,SRPK2,ST8SIA6,
STAM2,STXBP4,TTC30B,WNK3,ZBTB41,ZKSCAN1,ZNF28

ABAT,ACE2,ACSL5,AXIN2,LINC01555,TMEM252,CTTNBP2,
DPEP1,FITM2,GGH,GLCE,HUNK,KCTD16,KRT37,
NAALADL2,NCKAP5,OIT3,PHOSPHO2,PLA2G12B,PRSS23,SLC11A2
ADD3,C2orf15,CASP6,CD46,CMTM8,CNOT8,CRLS1,
FAM60A,GLCE,GSR,LRRC57,NT5DC1,NUDT16P1,PEX1,
SNX4,SNX5,TMEM98,TOM1L1,TXNDC12,VPS36,ZNF28
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 GLCE


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