Cancer Cell Metabolism Gene Database

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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 FUT8
Basic gene info.Gene symbolFUT8
Gene namefucosyltransferase 8 (alpha (1,6) fucosyltransferase)
Synonyms-
CytomapUCSC genome browser: 14q24.3
Genomic locationchr14 :65879447-66210839
Type of geneprotein-coding
RefGenesNM_004480.4,
NM_178155.2,NM_178156.2,NR_038167.1,NR_038170.1,
NM_178154.1,NM_178157.1,
Ensembl idENSG00000033170
DescriptionGDP-L-Fuc:N-acetyl-beta-D-glucosaminide alpha1,6-fucosyltransferaseGDP-fucose--glycoprotein fucosyltransferasealpha-(1,6)-fucosyltransferasealpha1-6FucTglycoprotein 6-alpha-L-fucosyltransferase
Modification date20141207
dbXrefs MIM : 602589
HGNC : HGNC
Ensembl : ENSG00000033170
HPRD : 03994
Vega : OTTHUMG00000142818
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_FUT8
BioGPS: 2530
Gene Expression Atlas: ENSG00000033170
The Human Protein Atlas: ENSG00000033170
PathwayNCI Pathway Interaction Database: FUT8
KEGG: FUT8
REACTOME: FUT8
ConsensusPathDB
Pathway Commons: FUT8
MetabolismMetaCyc: FUT8
HUMANCyc: FUT8
RegulationEnsembl's Regulation: ENSG00000033170
miRBase: chr14 :65,879,447-66,210,839
TargetScan: NM_004480
cisRED: ENSG00000033170
ContextiHOP: FUT8
cancer metabolism search in PubMed: FUT8
UCL Cancer Institute: FUT8
Assigned class in ccmGDBC

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Phenotypic Information for FUT8(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: FUT8
Familial Cancer Database: FUT8
* 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_PROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: FUT8
MedGen: FUT8 (Human Medical Genetics with Condition)
ClinVar: FUT8
PhenotypeMGI: FUT8 (International Mouse Phenotyping Consortium)
PhenomicDB: FUT8

Mutations for FUT8
* 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
ovaryFUT8chr146588065965880679FUT8chr146588089165880911
ovaryFUT8chr146591489365914913FUT8chr146599708865997108
ovaryFUT8chr146594036065940380FUT8chr146596528365965303
ovaryFUT8chr146594054965940569MAXchr146549084865490868
ovaryFUT8chr146600989466009914FUT8chr146620187366201893
ovaryFUT8chr146621053566210555FUT8chr146621065466210674
pancreasFUT8chr146590754665907566MAXchr146554232565542345
pancreasFUT8chr146596823965968259FUT8chr146598129765981317
pancreasFUT8chr146619368066193700FUT8chr146615588866155908
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 FUT8 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AW361302IFRD113127112112877112115756FUT8298656146616661866166979
BF996799FUT833302146620902466209298IFT52295348204223247642232529

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=6

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=46)
Stat. for Synonymous SNVs
(# total SNVs=13)
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
chr14:66209075-66209075p.R559*4
chr14:66208947-66208947p.R516Q3
chr14:66136173-66136173p.S270S3
chr14:66136194-66136194p.W277C2
chr14:66209091-66209091p.T564M2
chr14:66208906-66208906p.Q502H2
chr14:66136002-66136002p.N213N2
chr14:66200031-66200031p.R448C2
chr14:66028372-66028372p.R31*2
chr14:66136172-66136172p.S270F2

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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  8  1 1  751 1115 10
# mutation3  6  1 1  761 1115 10
nonsynonymous SNV3  5  1 1  521  74 9
synonymous SNV   1       24  141 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
chr14:66136173p.S107S,FUT83
chr14:66208947p.T89A,FUT82
chr14:66083023p.S107Y,FUT82
chr14:66136117p.R353Q,FUT82
chr14:66136172p.K138K,FUT82
chr14:66136042p.G14G,FUT81
chr14:66199958p.N260N,FUT81
chr14:66028324p.T401M,FUT81
chr14:66082996p.L15I,FUT81
chr14:66208932p.L24R,FUT81

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 FUT8 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 FUT8

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

ATP8B1,DCAF5,EXD2,EXOC6,FAM63A,FNTB,FOXA1,
FUT8,LOC645431,NEK9,PGGT1B,PSEN1,RABEP1,RNF103,
SEL1L,SLC19A2,SLC39A9,SPOPL,STAM2,TMEM30B,ZFYVE1
PXYLP1,AFF3,AP2B1,SAMD15,CHST15,COL4A5,DNAJC12,
F2RL2,FTO,FUT8,IGSF3,KIAA1211,LRP2,MAGI3,
PNMA2,SLC2A10,SYTL2,TANC2,THSD4,TPBG,TSPAN5

ARF6,TMEM263,MCU,CDC42EP1,EGLN3,ERO1L,FUT8,
GNPNAT1,JKAMP,LOC645431,LPCAT1,PKM,PLEK2,RAB27B,
RPL36AL,SCFD1,SEMA4B,SGMS1,SPTLC2,TC2N,TMED10
ACRBP,AIG1,AKR1A1,ATP6V1B2,BDH2,TMEM256,CRYZ,
CTSH,FTL,FUT8,GATM,HACL1,HPS3,LIPA,
LPO,MTHFS,PALB2,ECI2,PPAPDC1B,TFEC,TM2D2
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 FUT8


There's no related Drug.
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Cross referenced IDs for FUT8
* 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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