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 PPARGC1B
Basic gene info.Gene symbolPPARGC1B
Gene nameperoxisome proliferator-activated receptor gamma, coactivator 1 beta
SynonymsERRL1|PERC|PGC-1(beta)|PGC1B
CytomapUCSC genome browser: 5q32
Genomic locationchr5 :149109814-149234585
Type of geneprotein-coding
RefGenesNM_001172698.1,
NM_001172699.1,NM_133263.3,
Ensembl idENSG00000155846
DescriptionPGC-1-related estrogen receptor alpha coactivatorPPAR-gamma coactivator 1-betaPPARGC-1-betaperoxisome proliferator-activated receptor gamma coactivator 1-beta
Modification date20141207
dbXrefs MIM : 608886
HGNC : HGNC
Ensembl : ENSG00000155846
HPRD : 10594
Vega : OTTHUMG00000130055
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_PPARGC1B
BioGPS: 133522
Gene Expression Atlas: ENSG00000155846
The Human Protein Atlas: ENSG00000155846
PathwayNCI Pathway Interaction Database: PPARGC1B
KEGG: PPARGC1B
REACTOME: PPARGC1B
ConsensusPathDB
Pathway Commons: PPARGC1B
MetabolismMetaCyc: PPARGC1B
HUMANCyc: PPARGC1B
RegulationEnsembl's Regulation: ENSG00000155846
miRBase: chr5 :149,109,814-149,234,585
TargetScan: NM_001172698
cisRED: ENSG00000155846
ContextiHOP: PPARGC1B
cancer metabolism search in PubMed: PPARGC1B
UCL Cancer Institute: PPARGC1B
Assigned class in ccmGDBC

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Phenotypic Information for PPARGC1B(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: PPARGC1B
Familial Cancer Database: PPARGC1B
* 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: PPARGC1B
MedGen: PPARGC1B (Human Medical Genetics with Condition)
ClinVar: PPARGC1B
PhenotypeMGI: PPARGC1B (International Mouse Phenotyping Consortium)
PhenomicDB: PPARGC1B

Mutations for PPARGC1B
* 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
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'.
- 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
breastPPARGC1Bchr5149210279149210279HMGXB3chr5149408381149408381
large_intestinePPARGC1Bchr5149209509149209509chr87259914272599142
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 PPARGC1B related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BF361916TRAK11039334225652442256906PPARGC1B3944645149209185149209255
BF370483PTPN21278181283349612833562PPARGC1B762365149230758149230916

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=4

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=66)
Stat. for Synonymous SNVs
(# total SNVs=22)
Stat. for Deletions
(# total SNVs=3)
Stat. for Insertions
(# total SNVs=1)

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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
chr5:149216595-149216595p.S859S4
chr5:149215920-149215920p.L634L3
chr5:149216088-149216088p.G690G3
chr5:149206254-149206254p.A91S2
chr5:149212796-149212796p.R387H2
chr5:149216457-149216459p.E818delE2
chr5:149212800-149212800p.P388P2
chr5:149212299-149212299p.T221T2
chr5:149216471-149216471p.E818G2
chr5:149200043-149200043p.L42L2

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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
# sample 3173 2 3  1245 1128 5
# mutation 3163 2 3  1245 1138 5
nonsynonymous SNV 3 32 1 3  1034 1114 3
synonymous SNV  131 1    211  24 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
chr5:149212796p.R348H,PPARGC1B2
chr5:149206414p.R190Q1
chr5:149215950p.S281F,PPARGC1B1
chr5:149212461p.H628Y,PPARGC1B1
chr5:149216164p.L809I,PPARGC1B1
chr5:149109980p.R190R1
chr5:149212709p.P288S,PPARGC1B1
chr5:149221931p.A632T,PPARGC1B1
chr5:149210396p.R855W,PPARGC1B1
chr5:149215963p.T25T,PPARGC1B1

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 PPARGC1B 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 PPARGC1B

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

ANKRD36BP1,CCDC82,CFLAR,DAPK1,AMER1,FMNL2,GNPTAB,
KIAA0754,LIMS1,LOC400927,MAML2,MLXIP,MYO9B,NOTCH1,
PPARA,PPARGC1B,SFT2D2,MIEF1,TCF20,WWTR1,ZNF462
CAMSAP1,CLASP1,DMD,AGO2,FBXO10,HECTD1,HERC1,
KIAA0368,VWA8,KIAA1161,L2HGDH,LOC729082,MLXIP,NFIC,
NFIX,PCNT,PPARA,PPARGC1B,PRKAR2A,SATB1,UBR3

ATXN7,NOP9,C9orf129,DDX46,DOT1L,ETV3,FAM160A1,
GNA11,IPMK,MAP3K13,MDN1,MFSD9,MLXIP,NSD1,
PCNT,PDP2,PPARGC1B,RBM15,RNF168,RREB1,SERINC5
ARHGAP33,HECTD4,PROSER3,CAD,CEP152,DIP2A,GSE1,
KMT2B___KMT2D,NBPF10,NEURL4,PLXNB1,POLR3A,PPARGC1B,RBM33,
SUGP2,TRIO,CFAP44,WDR90,WHSC1,ZMIZ2,ZNF142
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 PPARGC1B


There's no related Drug.
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Cross referenced IDs for PPARGC1B
* 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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