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 PIP4K2B
Basic gene info.Gene symbolPIP4K2B
Gene namephosphatidylinositol-5-phosphate 4-kinase, type II, beta
SynonymsPI5P4KB|PIP5K2B|PIP5KIIB|PIP5KIIbeta
CytomapUCSC genome browser: 17q12
Genomic locationchr17 :36921943-36956158
Type of geneprotein-coding
RefGenesNM_003559.4,
NM_138687.1,
Ensembl idENSG00000141720
Description1-phosphatidylinositol 5-phosphate 4-kinase 2-beta1-phosphatidylinositol-4-phosphate kinase1-phosphatidylinositol-5-phosphate 4-kinase 2-betaPI(5)P 4-kinase type II betaPIP4KII-betaPTDINS(4)P-5-kinasediphosphoinositide kinase 2-betaphosphatidylinos
Modification date20141207
dbXrefs MIM : 603261
HGNC : HGNC
Ensembl : ENSG00000276293
HPRD : 04463
Vega : OTTHUMG00000188504
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_PIP4K2B
BioGPS: 8396
Gene Expression Atlas: ENSG00000141720
The Human Protein Atlas: ENSG00000141720
PathwayNCI Pathway Interaction Database: PIP4K2B
KEGG: PIP4K2B
REACTOME: PIP4K2B
ConsensusPathDB
Pathway Commons: PIP4K2B
MetabolismMetaCyc: PIP4K2B
HUMANCyc: PIP4K2B
RegulationEnsembl's Regulation: ENSG00000141720
miRBase: chr17 :36,921,943-36,956,158
TargetScan: NM_003559
cisRED: ENSG00000141720
ContextiHOP: PIP4K2B
cancer metabolism search in PubMed: PIP4K2B
UCL Cancer Institute: PIP4K2B
Assigned class in ccmGDBC

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Phenotypic Information for PIP4K2B(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: PIP4K2B
Familial Cancer Database: PIP4K2B
* 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
KEGG_INOSITOL_PHOSPHATE_METABOLISM
KEGG_FC_GAMMA_R_MEDIATED_PHAGOCYTOSIS
REACTOME_PHOSPHOLIPID_METABOLISM
REACTOME_PI_METABOLISM
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: PIP4K2B
MedGen: PIP4K2B (Human Medical Genetics with Condition)
ClinVar: PIP4K2B
PhenotypeMGI: PIP4K2B (International Mouse Phenotyping Consortium)
PhenomicDB: PIP4K2B

Mutations for PIP4K2B
* 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 PIP4K2B related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AA972703PIP4K2B291173695589636955987APBA3924021937512383752608
AF130850PIP4K2B586173692744236927527DGCR5741272221901430919015512
AA247774PIP4K2B1132173692217036922301PIP4K2B126391173693574536940572
BF849647PIP4K2B29129173694307536943175PIP4K2B128263173693394036934608
BF991438PIP4K2B1155173692451636924670PIP4K2B148255173692432536924432
BP428483CDC20622814382792343828782PIP4K2B217319173692242436922526

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 # sample6     1          
GAIN (# sample)6     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=23)
Stat. for Synonymous SNVs
(# total SNVs=14)
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
chr17:36936775-36936775p.R146H2
chr17:36935738-36935738p.L184L2
chr17:36934599-36934599p.S227S1
chr17:36936743-36936743p.V157L1
chr17:36940575-36940575p.R92H1
chr17:36927329-36927329p.R335Q1
chr17:36934602-36934602p.A226A1
chr17:36936744-36936744p.D156D1
chr17:36943126-36943126p.D69D1
chr17:36927333-36927333p.P334S1

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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
# sample21 9  2 4  431  3419
# mutation21 8  2 4  431  34111
nonsynonymous SNV1  4  2    331  3218
synonymous SNV11 4    4  1     2 3
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
chr17:36926734p.D375E3
chr17:36935738p.R146H2
chr17:36927505p.I276I2
chr17:36936775p.L184L2
chr17:36934617p.D287N1
chr17:36936825p.H286H1
chr17:36955630p.S131R1
chr17:36927374p.H286P1
chr17:36935652p.S129S1
chr17:36940500p.Y117F1

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 PIP4K2B 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 PIP4K2B

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

C17orf96,C17orf98,CACNB1,CDK12,CISD3,CWC25,ERBB2,
FBXL20,LASP1,LOC90110,MED1,MLLT6,MRPL45,PCGF2,
PIP4K2B,PSMB3,RPL19,RPL23,RPL23P8,SOCS7,SRCIN1
ALDH5A1,AMOT,ARIH2,ASB8,FAM217B,FXR1,FYCO1,
HERC1,HIF1AN,KIF1B,P2RY1,PAIP2B,PAX7,PIP4K2B,
PPARGC1A,PRKAB2,PTCD3,SGCD,SIX4,TRAK1,ZNF106

AATF,ACACA,CACNB1,CDK12,CWC25,FBXL20,FXYD2,
GRB7,KCTD2,LOC90110,MED1,MLLT6,PIP4K2B,RGSL1,
SNAR-A2,SOCS7,SRCIN1,STARD3,STAT5B,SUPT6H,SYNRG
ARHGEF17,VSTM4,CCDC102A,CRTC3,DSTYK,FRMD4A,TP73-AS1,
MAP3K3,NFATC4,NPR2,NR2F2,PHC1,PHF21A,PIP4K2B,
RGAG4,SATB1,SIX5,STAT5B,TBKBP1,ZBTB4,ZNF512B
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 PIP4K2B


There's no related Drug.
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Cross referenced IDs for PIP4K2B
* 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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