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 ELOVL4
Basic gene info.Gene symbolELOVL4
Gene nameELOVL fatty acid elongase 4
SynonymsADMD|CT118|ISQMR|SCA34|STGD2|STGD3
CytomapUCSC genome browser: 6q14
Genomic locationchr6 :80624528-80657315
Type of geneprotein-coding
RefGenesNM_022726.3,
Ensembl idENSG00000118402
Description3-keto acyl-CoA synthase ELOVL4ELOVL FA elongase 4cancer/testis antigen 118elongation of very long chain fatty acids (FEN1/Elo2, SUR4/Elo3, yeast)-like 4elongation of very long chain fatty acids protein 4very-long-chain 3-oxoacyl-CoA synthase 4
Modification date20141207
dbXrefs MIM : 605512
HGNC : HGNC
Ensembl : ENSG00000118402
HPRD : 05697
Vega : OTTHUMG00000015087
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ELOVL4
BioGPS: 6785
Gene Expression Atlas: ENSG00000118402
The Human Protein Atlas: ENSG00000118402
PathwayNCI Pathway Interaction Database: ELOVL4
KEGG: ELOVL4
REACTOME: ELOVL4
ConsensusPathDB
Pathway Commons: ELOVL4
MetabolismMetaCyc: ELOVL4
HUMANCyc: ELOVL4
RegulationEnsembl's Regulation: ENSG00000118402
miRBase: chr6 :80,624,528-80,657,315
TargetScan: NM_022726
cisRED: ENSG00000118402
ContextiHOP: ELOVL4
cancer metabolism search in PubMed: ELOVL4
UCL Cancer Institute: ELOVL4
Assigned class in ccmGDBC

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Phenotypic Information for ELOVL4(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ELOVL4
Familial Cancer Database: ELOVL4
* 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_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: ELOVL4
MedGen: ELOVL4 (Human Medical Genetics with Condition)
ClinVar: ELOVL4
PhenotypeMGI: ELOVL4 (International Mouse Phenotyping Consortium)
PhenomicDB: ELOVL4

Mutations for ELOVL4
* 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
ovaryELOVL4chr68064488880644908ELOVL4chr68064711480647134
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 ELOVL4 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             
GAIN (# sample)                 
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=35)
Stat. for Synonymous SNVs
(# total SNVs=11)
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
chr6:80634726-80634726p.A104A3
chr6:80636002-80636002p.W66*2
chr6:80634721-80634721p.Y106C2
chr6:80635973-80635973p.R76C2
chr6:80626471-80626471p.I267V2
chr6:80629172-80629172p.L212I1
chr6:80635991-80635991p.R70G1
chr6:80631357-80631357p.V176L1
chr6:80656976-80656976p.E7E1
chr6:80626485-80626485p.F262C1

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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
# sample 117    1  811 185 5
# mutation 117    1  711 195 6
nonsynonymous SNV 115    1  211 182 5
synonymous SNV   2       5    13 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
chr6:80634726p.A104A2
chr6:80635973p.R76C2
chr6:80629227p.T233T1
chr6:80634699p.R123M1
chr6:80626485p.T229T1
chr6:80656996p.N118D1
chr6:80629239p.Q225R1
chr6:80634702p.V113V1
chr6:80626510p.R216R1
chr6:80631354p.S112R1

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 ELOVL4 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 ELOVL4

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

ANKRD35,AWAT1,C1orf105,CARD18,CCL26,CYP2F1,CYP3A4,
DGAT2,DGAT2L6,ECHDC1,ELOVL4,FADS6,IGF2,KRT79,
MUC15,PLA2G2F,PNPLA1,PNPLA5,PSAPL1,RDH12,SOAT1
ABHD13,BCL10,TMEM263,CTSO,DUSP11,ELOVL4,FAM3C,
FKBP7,GLT8D2,HDGFRP3,LOC399959,MED21,NAP1L3,NFE2L2,
NPTN,NUDT11,TCEAL7,TRPC1,TWSG1,UBTD2,ZCCHC10

BNC2,CALD1,CNRIP1,COPZ2,DSEL,DZIP1,EFS,
ELOVL4,FBXL7,FERMT2,FEZ1,GLI3,GUCY1B3,LDB2,
MPDZ,MSRB3,RAB34,SGCD,TSHZ3,TSPYL5,ZEB1
ARMCX1,BNIP3,C16orf45,CADM4,CLIP4,EFEMP2,ELOVL4,
FAM171B,FBXL2,FBXO17,FIBIN,LOC344595,LRCH2,NAP1L3,
NECAB1,NUDT10,PRDM8,PTBP2,RNF180,SYNGR1,ZDHHC15
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 ELOVL4
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
DB00132ELOVL fatty acid elongase 4approved; nutraceuticalAlpha-Linolenic Acid


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Cross referenced IDs for ELOVL4
* 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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