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 PPP2CB
Basic gene info.Gene symbolPPP2CB
Gene nameprotein phosphatase 2, catalytic subunit, beta isozyme
SynonymsPP2Abeta|PP2CB
CytomapUCSC genome browser: 8p12
Genomic locationchr8 :30643125-30670352
Type of geneprotein-coding
RefGenesNM_001009552.1,
NM_004156.2,
Ensembl idENSG00000104695
DescriptionPP2A-betaprotein phosphatase 2 (formerly 2A), catalytic subunit, beta isoformprotein phosphatase 2, catalytic subunit, beta isoformprotein phosphatase 2A catalytic subunit, beta isoformprotein phosphatase type 2A catalytic subunitserine/threonine pro
Modification date20141207
dbXrefs MIM : 176916
HGNC : HGNC
Ensembl : ENSG00000104695
HPRD : 01487
Vega : OTTHUMG00000163949
ProteinUniProt: P62714
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_PPP2CB
BioGPS: 5516
Gene Expression Atlas: ENSG00000104695
The Human Protein Atlas: ENSG00000104695
PathwayNCI Pathway Interaction Database: PPP2CB
KEGG: PPP2CB
REACTOME: PPP2CB
ConsensusPathDB
Pathway Commons: PPP2CB
MetabolismMetaCyc: PPP2CB
HUMANCyc: PPP2CB
RegulationEnsembl's Regulation: ENSG00000104695
miRBase: chr8 :30,643,125-30,670,352
TargetScan: NM_001009552
cisRED: ENSG00000104695
ContextiHOP: PPP2CB
cancer metabolism search in PubMed: PPP2CB
UCL Cancer Institute: PPP2CB
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of PPP2CB in cancer cell metabolism1. Loo LW, Tiirikainen M, Cheng I, Lum‐Jones A, Seifried A, et al. (2013) Integrated analysis of genome‐wide copy number alterations and gene expression in microsatellite stable, CpG island methylator phenotype‐negative colon cancer. Genes, Chromosomes and Cancer 52: 450-466. go to article

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Phenotypic Information for PPP2CB(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: PPP2CB
Familial Cancer Database: PPP2CB
* 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_INTEGRATION_OF_ENERGY_METABOLISM
REACTOME_METABOLISM_OF_CARBOHYDRATES
REACTOME_GLUCOSE_METABOLISM

check002.gifOthers
OMIM 176916; gene.
Orphanet
DiseaseKEGG Disease: PPP2CB
MedGen: PPP2CB (Human Medical Genetics with Condition)
ClinVar: PPP2CB
PhenotypeMGI: PPP2CB (International Mouse Phenotyping Consortium)
PhenomicDB: PPP2CB

Mutations for PPP2CB
* 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
ovaryPPP2CBchr83064815130648171STK31chr72381644523816465
ovaryPPP2CBchr83064819130648211GPR124chr83769962737699647
ovaryPPP2CBchr83066262330662643chr83063763130637651
pancreasPPP2CBchr83064923530649255RBPMSchr83038173030381750
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 PPP2CB related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BF809982PPP2CB721383064373830648832COL1A220428879404579994047103

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=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=22)
Stat. for Synonymous SNVs
(# total SNVs=3)
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
chr8:30643831-30643831p.?2
chr8:30651555-30651555p.R206C2
chr8:30651800-30651800p.?1
chr8:30657186-30657186p.H63R1
chr8:30651447-30651447p.Q242E1
chr8:30655114-30655114p.A157T1
chr8:30643751-30643751p.*310Y1
chr8:30657228-30657228p.R49H1
chr8:30651484-30651484p.N229N1
chr8:30655116-30655116p.T156I1

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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 313    1  4    23 3
# mutation 314    1  4    23 4
nonsynonymous SNV 3 4       3    23 3
synonymous SNV  1     1  1       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
chr8:30651555p.R206C2
chr8:30657228p.H118H1
chr8:30655114p.P108T1
chr8:30669865p.R106C1
chr8:30643766p.P305P1
chr8:30655116p.K104N1
chr8:30648767p.R268H1
chr8:30655186p.E95D1
chr8:30648809p.R254L1
chr8:30655229p.D77Y1

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 PPP2CB 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 PPP2CB

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

BNIP3L,CCDC25,CNOT7,DCTN6,ELP3,GSR,GTF2E2,
INTS9,LEPROTL1,MCPH1,MTMR9,PPP2CB,PPP2R2A,RPL23AP53,
SARAF,TNKS,TRIM35,UBXN8,VPS37A,WRN,ZNF395
ARL2BP,ARPP19,BNIP2,C4orf3,CLIC4,GNG12,GOLT1B,
MBNL2,MMGT1,NDFIP1,OSTM1,PLEKHA3,PPP2CB,PRKRIR,
RAP1B,RNF11,RRAS2,SEPT7,TMEM126B,VAMP7,VPS26A

ASAH1,TTI2,CCDC25,CHMP7,CNOT7,DCTN6,ENTPD4,
ERI1,FUT10,GSR,GTF2E2,KCTD9,KIF13B,LEPROTL1,
PPP2CB,PPP2R2A,SH2D4A,SARAF,TNFRSF10A,TNFRSF10B,VPS37A
CAB39,CCDC68,CDKN1A,CHMP2B,CHMP4B,GCNT3,KRT20,
LHFPL2,MAPK6,PLS1,PPP2CB,PRR13,PTPRH,RAB5A,
RIOK3,SHOC2,SLC2A13,TUBAL3,VAPA,VDAC2,WSB2
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 PPP2CB
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
Organism-specific databasesPharmGKB PA33664; -.
Organism-specific databasesCTD 5516; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB00163protein phosphatase 2, catalytic subunit, beta isozymeapproved; nutraceuticalVitamin E


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Cross referenced IDs for PPP2CB
* 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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