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 GALM
Basic gene info.Gene symbolGALM
Gene namegalactose mutarotase (aldose 1-epimerase)
SynonymsGLAT|HEL-S-63p|IBD1
CytomapUCSC genome browser: 2p22.1
Genomic locationchr2 :38893051-38961909
Type of geneprotein-coding
RefGenesNM_138801.2,
Ensembl idENSG00000143891
Descriptionaldose 1-epimeraseepididymis secretory sperm binding protein Li 63pgalactomutarotasegalactose enzyme activator
Modification date20141207
dbXrefs MIM : 137030
HGNC : HGNC
Ensembl : ENSG00000143891
HPRD : 13559
Vega : OTTHUMG00000102077
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_GALM
BioGPS: 130589
Gene Expression Atlas: ENSG00000143891
The Human Protein Atlas: ENSG00000143891
PathwayNCI Pathway Interaction Database: GALM
KEGG: GALM
REACTOME: GALM
ConsensusPathDB
Pathway Commons: GALM
MetabolismMetaCyc: GALM
HUMANCyc: GALM
RegulationEnsembl's Regulation: ENSG00000143891
miRBase: chr2 :38,893,051-38,961,909
TargetScan: NM_138801
cisRED: ENSG00000143891
ContextiHOP: GALM
cancer metabolism search in PubMed: GALM
UCL Cancer Institute: GALM
Assigned class in ccmGDBC

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

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

Mutations for GALM
* 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
ovaryGALMchr23894427238944292GALMchr23894439838944418
pancreasGALMchr23893182838931848chr23834604538346065
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 GALM related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BX107111GALM117023896084438961013SNX1416747168621631986216623
CR997728GALM25775123890570139308967ALK74579623008161530081666

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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=14)
Stat. for Synonymous SNVs
(# total SNVs=6)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.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
chr2:38893492-38893492p.E63D3
chr2:38960639-38960639p.P321S2
chr2:38956797-38956797p.N245I1
chr2:38893397-38893397p.D32N1
chr2:38908466-38908466p.S130S1
chr2:38956810-38956810p.K249K1
chr2:38893484-38893484p.E61*1
chr2:38908499-38908499p.P141P1
chr2:38958889-38958889p.A263A1
chr2:38908517-38908517p.W147*1

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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=2

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample4  2  1 2  31   32 4
# mutation5  2  1 2  31   33 4
nonsynonymous SNV2  2    2  1    23 1
synonymous SNV3     1    21   1  3
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
chr2:38893363p.E20E2
chr2:38903126p.G92G1
chr2:38956751p.P318S1
chr2:38903134p.E94K1
chr2:38956797p.F320S1
chr2:38903139p.A98A1
chr2:38956810p.F337F1
chr2:38903143p.E102K1
chr2:38958889p.V127I1
chr2:38903157p.S130S1

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 GALM 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 GALM

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

ALOX15B,CASP10,CCRL2,DPEP2,GALM,GGT1,GGT3P,
GGTLC1,GM2A,GNGT2,GUCY2D,HAAO,IFI30,MPV17L,
MVK,NR1H3,OXER1,SLC26A6,SLED1,SPINK8,IGFLR1
ABCC2,ADAM2,ALOX15B,C6orf223,CLU,DHRS2,DNASE2B,
G6PD,GALM,GUSB,HAAO,HPGD,HSD3B2,LST-3TM12,
NUDT8,PNLIPRP3,PPAPDC1A,SCP2,SERHL2,SERHL,TARP

ACADS,ACY3,C6orf136,CEP70,CHST4,FAM162A,GALM,
IQGAP2,LDHD,LIMA1,LRG1,MMP15,MOB3B,NANS,
PIGR,RBM47,SCP2,SDHA,SH3RF2,SULT1C2,TJP3
ACADS,ACSF3,AP1M2,KDF1,C6orf136,CBLC,CYB561A3,
DCAF11,ELMO3,EPN1,ESRRA,GALM,MAP2K2,MGAT4B,
MTMR14,OVOL1,PFKL,PPAP2C,PRKCZ,TMEM102,ZDHHC12
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 GALM
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
DB02379galactose mutarotase (aldose 1-epimerase)experimentalBeta-D-Glucose
DB03142galactose mutarotase (aldose 1-epimerase)experimentalAlpha-L-Arabinose
DB03389galactose mutarotase (aldose 1-epimerase)experimentalalpha-D-Xylopyranose
DB03773galactose mutarotase (aldose 1-epimerase)experimental6-Deoxy-Alpha-D-Glucose


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Cross referenced IDs for GALM
* 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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