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 ANGPTL4
Basic gene info.Gene symbolANGPTL4
Gene nameangiopoietin-like 4
SynonymsANGPTL2|ARP4|FIAF|HARP|HFARP|NL2|PGAR|TGQTL|UNQ171|pp1158
CytomapUCSC genome browser: 19p13.3
Genomic locationchr19 :8429010-8439257
Type of geneprotein-coding
RefGenesNM_001039667.2,
NM_139314.2,NR_104213.1,NM_016109.2,
Ensembl idENSG00000167772
DescriptionPPARG angiopoietin related proteinangiopoietin-related protein 4fasting-induced adipose factorhepatic angiopoietin-related proteinhepatic fibrinogen/angiopoietin-related proteinperoxisome proliferator-activated receptor (PPAR) gamma induced angiopoie
Modification date20141207
dbXrefs MIM : 605910
HGNC : HGNC
Ensembl : ENSG00000167772
HPRD : 16173
Vega : OTTHUMG00000182273
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ANGPTL4
BioGPS: 51129
Gene Expression Atlas: ENSG00000167772
The Human Protein Atlas: ENSG00000167772
PathwayNCI Pathway Interaction Database: ANGPTL4
KEGG: ANGPTL4
REACTOME: ANGPTL4
ConsensusPathDB
Pathway Commons: ANGPTL4
MetabolismMetaCyc: ANGPTL4
HUMANCyc: ANGPTL4
RegulationEnsembl's Regulation: ENSG00000167772
miRBase: chr19 :8,429,010-8,439,257
TargetScan: NM_001039667
cisRED: ENSG00000167772
ContextiHOP: ANGPTL4
cancer metabolism search in PubMed: ANGPTL4
UCL Cancer Institute: ANGPTL4
Assigned class in ccmGDBC

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Phenotypic Information for ANGPTL4(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ANGPTL4
Familial Cancer Database: ANGPTL4
* 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: ANGPTL4
MedGen: ANGPTL4 (Human Medical Genetics with Condition)
ClinVar: ANGPTL4
PhenotypeMGI: ANGPTL4 (International Mouse Phenotyping Consortium)
PhenomicDB: ANGPTL4

Mutations for ANGPTL4
* 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 ANGPTL4 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BU543829ANGPTL4407671984363478439255RPL28768885195589731255897809

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
There's no copy number variation information in COSMIC data for this gene.

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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=7

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=20)
Stat. for Synonymous SNVs
(# total SNVs=9)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=1)
There's no deleted 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
chr19:8430948-8430948p.Q143H7
chr19:8430926-8430926p.R136Q3
chr19:8436034-8436034p.H252H2
chr19:8431173-8431173p.D173H2
chr19:8434162-8434162p.E203K1
chr19:8436239-8436239p.V291E1
chr19:8438661-8438661p.R371Q1
chr19:8434184-8434184p.P210L1
chr19:8436279-8436279p.L304L1
chr19:8438662-8438662p.R371R1

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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
# sample4  2  2 2  112  63  
# mutation5  2  2 2  112  73  
nonsynonymous SNV3  1  2 2  112  42  
synonymous SNV2  1            31  
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
chr19:8436237p.Q170L,ANGPTL41
chr19:8431098p.S319C,ANGPTL41
chr19:8436279p.D173N,ANGPTL41
chr19:8431165p.P330S,ANGPTL41
chr19:8436298p.D173E,ANGPTL41
chr19:8431173p.I340M,ANGPTL41
chr19:8436306p.N177H,ANGPTL41
chr19:8431175p.H182Y,ANGPTL41
chr19:8436324p.E203K1
chr19:8431185p.P210L1

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 ANGPTL4 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 ANGPTL4

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

ADM,ANGPTL4,ARPC1B,CD14,UBALD2,FAM180A,FAM20C,
GPR149,HAS2-AS1,MAFK,MASP1,NDUFA4L2,NFIL3,NNMT,
PGF,PLIN2,RSPO2,S100A10,TNFRSF12A,TUBB6,VEGFA
ADM,ANGPTL4,AP1M1,C1QTNF1,CCDC107,CFD,FNDC4,
GPBAR1,GSN,MARCH2,MGAT1,PALM,PHLDA3,PTRF,
RRAS,SLC35C1,SNX21,TFE3,TNFRSF1B,TPD52L2,TSPAN4

ADAM12,AMZ1,ANGPTL4,ANXA8,ANXA8L1,CAV1,FAM83A,
FMO1,FRMD6,G0S2,IGFBP6,INHBA,ITPRIP,LIMS3,
PFKFB3,PTHLH,SERPINE1,SNCG,TRPV4,VASN,ZPLD1
ANGPTL4,CYBRD1,DEFA6,DFNA5,DSG3,GPD1,HTR1D,
KHK,LRAT,OAT,PDZD7,PHYHIPL,PMP22,RHOBTB2,
SEC14L2,SFRP5,SLC16A4,TEKT3,TH,TM4SF4,WNT9B
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 ANGPTL4


There's no related Drug.
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Cross referenced IDs for ANGPTL4
* 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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