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 SLC2A3
Basic gene info.Gene symbolSLC2A3
Gene namesolute carrier family 2 (facilitated glucose transporter), member 3
SynonymsGLUT3
CytomapUCSC genome browser: 12p13.3
Genomic locationchr12 :8071823-8088892
Type of geneprotein-coding
RefGenesNM_006931.2,
Ensembl idENSG00000059804
DescriptionGLUT-3glucose transporter type 3, brainsolute carrier family 2, facilitated glucose transporter member 3
Modification date20141222
dbXrefs MIM : 138170
HGNC : HGNC
Ensembl : ENSG00000059804
HPRD : 00686
Vega : OTTHUMG00000133685
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_SLC2A3
BioGPS: 6515
Gene Expression Atlas: ENSG00000059804
The Human Protein Atlas: ENSG00000059804
PathwayNCI Pathway Interaction Database: SLC2A3
KEGG: SLC2A3
REACTOME: SLC2A3
ConsensusPathDB
Pathway Commons: SLC2A3
MetabolismMetaCyc: SLC2A3
HUMANCyc: SLC2A3
RegulationEnsembl's Regulation: ENSG00000059804
miRBase: chr12 :8,071,823-8,088,892
TargetScan: NM_006931
cisRED: ENSG00000059804
ContextiHOP: SLC2A3
cancer metabolism search in PubMed: SLC2A3
UCL Cancer Institute: SLC2A3
Assigned class in ccmGDBC

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Phenotypic Information for SLC2A3(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: SLC2A3
Familial Cancer Database: SLC2A3
* 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_VITAMINS_AND_COFACTORS
REACTOME_METABOLISM_OF_CARBOHYDRATES

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: SLC2A3
MedGen: SLC2A3 (Human Medical Genetics with Condition)
ClinVar: SLC2A3
PhenotypeMGI: SLC2A3 (International Mouse Phenotyping Consortium)
PhenomicDB: SLC2A3

Mutations for SLC2A3
* 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
ovarySLC2A3chr1280837558083775SLC2A3chr1280853668085386
pancreasSLC2A3chr1280790058079025SLC2A3chr1280797748079794
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 SLC2A3 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
DA576628IGFBP3110874596076645960873SLC2A31095721280755918083114

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                
GAIN (# sample)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=6

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=78)
Stat. for Synonymous SNVs
(# total SNVs=15)
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
chr12:8074055-8074055p.E482G5
chr12:8083865-8083865p.I162I3
chr12:8083210-8083210p.S180Y3
chr12:8075422-8075422p.A423S3
chr12:8086492-8086492p.P8T3
chr12:8084024-8084024p.G109G3
chr12:8083244-8083244p.?3
chr12:8075518-8075518p.E391K2
chr12:8082408-8082408p.E245K2
chr12:8075602-8075602p.S363G2

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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=4

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample441161 515  974  108 7
# mutation442111 515  974  108 7
nonsynonymous SNV33281 2 5  862  76 5
synonymous SNV11 3  31   112  32 2
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
chr12:8075422p.G109G3
chr12:8084024p.A423T3
chr12:8086492p.P8T3
chr12:8075602p.G132V2
chr12:8085688p.S55C2
chr12:8083956p.G179G2
chr12:8083212p.S363I2
chr12:8083102p.S363G2
chr12:8075601p.R216I2
chr12:8074185p.L334V1

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 SLC2A3 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 SLC2A3

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

ADAMTS1,CCL2,CH25H,CSRNP1,CYR61,DSE,ETS2,
GEM,GPR183,HBEGF,IL6,ITPRIP,NR4A3,PIM1,
PLK3,SLC2A3,SOCS3,SRGN,TNFAIP3,ZEB2,ZFP36
ADAMTS1,ADAMTS4,C2CD4B,CCL2,CCRN4L,CDKN1A,ETS2,
ICAM1,IL6,MYADM,NFIL3,NR4A3,PIM1,RNF122,
SELE,SLC25A25,SLC2A14,SLC2A3,SOCS3,SOX7,TSC22D2

ADAMTS4,AGR2___C11orf96,ARSI,C5AR1,CERCAM,COL6A2,DLG4,
INHBA,ITPRIP,LGALS1,LOXL3,MMP14,NLRP3,RGS16,
SLC2A14,SLC2A3,SOCS3,SRGN,TNFAIP6,VIM,WISP1
ADAMTS1,ADAMTS4,CEBPB,CSRNP1,EGR3,FOSB,GPR3,
ITPRIP,NR4A1,NR4A2,NR4A3,PHLDA1,PLK3,RNF122,
SERPINE1,SLC2A3,SOCS3,STC1,THBD,THBS1,ZFP36
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 SLC2A3


There's no related Drug.
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Cross referenced IDs for SLC2A3
* 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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