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 ST3GAL6
Basic gene info.Gene symbolST3GAL6
Gene nameST3 beta-galactoside alpha-2,3-sialyltransferase 6
SynonymsSIAT10|ST3GALVI
CytomapUCSC genome browser: 3q12.1
Genomic locationchr3 :98451571-98513236
Type of geneprotein-coding
RefGenesNM_001271142.1,
NM_001271145.1,NM_001271146.1,NM_001271147.1,NM_001271148.1,
NM_006100.3,
Ensembl idENSG00000064225
DescriptionCMP-NeuAc:beta-galactoside alpha-2,3-sialyltransferase VIalpha2,3-sialyltransferase ST3Gal VIsialyltransferase 10 (alpha-2,3-sialyltransferase VI)type 2 lactosamine alpha-2,3-sialyltransferase
Modification date20141207
dbXrefs MIM : 607156
HGNC : HGNC
Ensembl : ENSG00000064225
HPRD : 06195
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ST3GAL6
BioGPS: 10402
Gene Expression Atlas: ENSG00000064225
The Human Protein Atlas: ENSG00000064225
PathwayNCI Pathway Interaction Database: ST3GAL6
KEGG: ST3GAL6
REACTOME: ST3GAL6
ConsensusPathDB
Pathway Commons: ST3GAL6
MetabolismMetaCyc: ST3GAL6
HUMANCyc: ST3GAL6
RegulationEnsembl's Regulation: ENSG00000064225
miRBase: chr3 :98,451,571-98,513,236
TargetScan: NM_001271142
cisRED: ENSG00000064225
ContextiHOP: ST3GAL6
cancer metabolism search in PubMed: ST3GAL6
UCL Cancer Institute: ST3GAL6
Assigned class in ccmGDBC

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Phenotypic Information for ST3GAL6(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ST3GAL6
Familial Cancer Database: ST3GAL6
* 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: ST3GAL6
MedGen: ST3GAL6 (Human Medical Genetics with Condition)
ClinVar: ST3GAL6
PhenotypeMGI: ST3GAL6 (International Mouse Phenotyping Consortium)
PhenomicDB: ST3GAL6

Mutations for ST3GAL6
* 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
ovaryST3GAL6chr39846347598463495ST3GAL6chr39846718998467209
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 ST3GAL6 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  1  1        
GAIN (# sample)  1     1        
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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=42)
Stat. for Synonymous SNVs
(# total SNVs=6)
Stat. for Deletions
(# total SNVs=2)
Stat. for Insertions
(# total SNVs=1)

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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
chr3:98510736-98510736p.I270V3
chr3:98507190-98507190p.K213N2
chr3:98506930-98506930p.T161I2
chr3:98506942-98506942p.Y167fs*182
chr3:98507289-98507289p.K246N2
chr3:98491687-98491687p.A66A2
chr3:98506953-98506953p.E169*2
chr3:98512582-98512582p.V325L2
chr3:98492775-98492775p.R95*2
chr3:98507173-98507173p.T208S2

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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
# sample3  82 2 1  422   6 5
# mutation2  82 2 1  422   6 6
nonsynonymous SNV2  82 1 1  321   4 5
synonymous SNV      1    1 1   2 1
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
chr3:98510736p.I126V,ST3GAL63
chr3:98510824p.S155F,ST3GAL63
chr3:98489735p.V87V,ST3GAL62
chr3:98489793p.T38M,ST3GAL61
chr3:98503844p.L107V,ST3GAL61
chr3:98507289p.L42V,ST3GAL61
chr3:98491686p.A119V,ST3GAL61
chr3:98503881p.N65T,ST3GAL61
chr3:98510729p.K124N,ST3GAL61
chr3:98491702p.K69N,ST3GAL61

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 ST3GAL6 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 ST3GAL6

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

ARHGEF9,CCDC14,CDK2AP1,CHI3L1,HAPLN3,LOC100190939,PAPSS1,
PELI1,PRG2,PTPLA,RGMA,ROPN1,ROPN1B,RSU1,
SFT2D2,SOX10,SOX6,SOX8,ST3GAL6,TBX19,VGLL1
ACSS3,ACVR1C,ADH1A,ADH1B,ALDH6A1,CALCRL,RHOV___CHP1,
CRLS1,DNAH9,GHR,GYS2,HADH,HRSP12,MAP3K5,
MLX,MOGAT1,NAALAD2,RORB,ST3GAL6,STOX1,TCEB3

CMTM3,CNRIP1,CSGALNACT2,DLG4,DSEL,GJA1,GNB4,
GPC6,MAF,MAFB,MYO5A,NRP1,NUAK1,PDGFRB,
PKD2,PLXNC1,QKI,SPARC,ST3GAL6,VIM,ZEB2
BBS10,BTF3L4,ARL14EP,C1orf54,C3orf14,ZBED8,DTWD1,
GPN3,IFT46,MORF4L1,PAIP2,PCNP,PPT1,QPCT,
RAB33B,REXO2,RYK,ST3GAL6,THAP1,ZNF354A,ZNF583
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 ST3GAL6


There's no related Drug.
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Cross referenced IDs for ST3GAL6
* 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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