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 FABP4
Basic gene info.Gene symbolFABP4
Gene namefatty acid binding protein 4, adipocyte
SynonymsA-FABP|AFABP|ALBP|HEL-S-104|aP2
CytomapUCSC genome browser: 8q21
Genomic locationchr8 :82390731-82395473
Type of geneprotein-coding
RefGenesNM_001442.2,
Ensembl idENSG00000170323
Descriptionadipocyte lipid-binding proteinadipocyte-type fatty acid-binding proteinepididymis secretory protein Li 104fatty acid-binding protein 4fatty acid-binding protein, adipocyte
Modification date20141222
dbXrefs MIM : 600434
HGNC : HGNC
Ensembl : ENSG00000170323
HPRD : 02698
Vega : OTTHUMG00000164602
ProteinUniProt: P15090
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_FABP4
BioGPS: 2167
Gene Expression Atlas: ENSG00000170323
The Human Protein Atlas: ENSG00000170323
PathwayNCI Pathway Interaction Database: FABP4
KEGG: FABP4
REACTOME: FABP4
ConsensusPathDB
Pathway Commons: FABP4
MetabolismMetaCyc: FABP4
HUMANCyc: FABP4
RegulationEnsembl's Regulation: ENSG00000170323
miRBase: chr8 :82,390,731-82,395,473
TargetScan: NM_001442
cisRED: ENSG00000170323
ContextiHOP: FABP4
cancer metabolism search in PubMed: FABP4
UCL Cancer Institute: FABP4
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of FABP4 in cancer cell metabolism1. Uehara H, Takahashi T, Oha M, Ogawa H, Izumi K (2014) Exogenous fatty acid binding protein 4 promotes human prostate cancer cell progression. Int J Cancer 135: 2558-2568. doi: 10.1002/ijc.28903. go to article
2. Harjes U, Bridges E, McIntyre A, Fielding BA, Harris AL (2014) Fatty acid-binding protein 4, a point of convergence for angiogenic and metabolic signaling pathways in endothelial cells. J Biol Chem 289: 23168-23176. doi: 10.1074/jbc.M114.576512. pmid: 4132814. go to article
3. Hu J, Liu Z, Wang X (2013) Does TP53 mutation promote ovarian cancer metastasis to omentum by regulating lipid metabolism? Med Hypotheses 81: 515-520. doi: 10.1016/j.mehy.2013.06.009. go to article

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Phenotypic Information for FABP4(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: FABP4
Familial Cancer Database: FABP4
* 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 600434; gene.
Orphanet
DiseaseKEGG Disease: FABP4
MedGen: FABP4 (Human Medical Genetics with Condition)
ClinVar: FABP4
PhenotypeMGI: FABP4 (International Mouse Phenotyping Consortium)
PhenomicDB: FABP4

Mutations for FABP4
* 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
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows FABP4 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BP317019FABP4139088239167382395468PMP22390516171514372615143852
BG290021FABP41125888239092782391672SEMA3C25935978037185680371956
BG992392METTL171105142146481421464977FABP49956088239110282395468

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)        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=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=13)
Stat. for Synonymous SNVs
(# total SNVs=2)
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
chr8:82392794-82392794p.K38T2
chr8:82395335-82395346p.D19_K22delDYMK1
chr8:82391734-82391734p.D88G1
chr8:82395354-82395354p.F17V1
chr8:82392681-82392681p.A76S1
chr8:82395392-82395392p.A4D1
chr8:82392691-82392691p.D72D1
chr8:82392784-82392784p.M41I1
chr8:82391144-82391144p.V119I1
chr8:82392798-82392798p.A37T1

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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=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 1 3  2      1  1  1
# mutation 1 3  2      1  1  1
nonsynonymous SNV 1 3  2      1  1  1
synonymous SNV                    
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
chr8:82392828p.E23G1
chr8:82395335p.A4D1
chr8:82395392p.T126M1
chr8:82391122p.V119I1
chr8:82391144p.Q96H1
chr8:82391709p.A76S1
chr8:82392681p.M41I1
chr8:82392784p.A37T1
chr8:82392798p.G27R1

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 FABP4 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 FABP4

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

ADH1B,ADIPOQ,AOC3,AQP7,AQP7P1,C14orf180,CIDEC,
FABP4,FHL1,GLYAT,GPD1,GPX3,ITIH5,KCNIP2,
LIPE,NPR1,PDE1B,PLIN1,PLIN4,RDH5,TMEM37
AOC3,FAM213A,CD36,CIDEC,CPM,ESYT1,FABP4,
FBXO27,GABRE,GNAI1,GYG2,HRASLS5,KCNIP2,PDE8A,
PEX19,PLIN1,PPARG,SH3KBP1,SLC35G2,TYRO3,VEGFB

ACSM5,ADH1B,ADIPOQ,AQP7,CD300LG,CD36,CIDEA,
FABP4,GLYAT,HEPACAM,KCNIP2,LBP,LEP,LGALS12,
LIPE,LOC339524,MRAP,PLIN1,PLIN4,SCN4A,TUSC5
ADIPOQ,AQP7P1,CD300LG,CD36,CIDEA,DEFB132,DGAT2,
FABP4,G0S2,GPAM,KCNIP2,LGALS12,LIPE,LOC283392,
LPL,MRAP,PLIN1,RBP7,SLC7A10,THRSP,TUSC5
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 FABP4


There's no related Drug.
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Cross referenced IDs for FABP4
* 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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