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 ANP32A
Basic gene info.Gene symbolANP32A
Gene nameacidic (leucine-rich) nuclear phosphoprotein 32 family, member A
SynonymsC15orf1|HPPCn|I1PP2A|LANP|MAPM|PHAP1|PHAPI|PP32
CytomapUCSC genome browser: 15q23
Genomic locationchr15 :69070874-69113261
Type of geneprotein-coding
RefGenesNM_006305.3,
Ensembl idENSG00000140350
Descriptionacidic leucine-rich nuclear phosphoprotein 32 family member Aacidic nuclear phosphoprotein pp32cerebellar leucine rich acidic nuclear proteinhepatopoietin Cninhibitor-1 of protein phosphatase-2Aleucine-rich acidic nuclear proteinmapmodulinpotent he
Modification date20141207
dbXrefs MIM : 600832
HGNC : HGNC
Ensembl : ENSG00000140350
HPRD : 09014
Vega : OTTHUMG00000154502
ProteinUniProt: P39687
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ANP32A
BioGPS: 8125
Gene Expression Atlas: ENSG00000140350
The Human Protein Atlas: ENSG00000140350
PathwayNCI Pathway Interaction Database: ANP32A
KEGG: ANP32A
REACTOME: ANP32A
ConsensusPathDB
Pathway Commons: ANP32A
MetabolismMetaCyc: ANP32A
HUMANCyc: ANP32A
RegulationEnsembl's Regulation: ENSG00000140350
miRBase: chr15 :69,070,874-69,113,261
TargetScan: NM_006305
cisRED: ENSG00000140350
ContextiHOP: ANP32A
cancer metabolism search in PubMed: ANP32A
UCL Cancer Institute: ANP32A
Assigned class in ccmGDBB - This gene belongs to cancer gene.

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Phenotypic Information for ANP32A(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ANP32A
Familial Cancer Database: ANP32A
* 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_MRNA
REACTOME_METABOLISM_OF_RNA

check002.gifOthers
OMIM 600832; gene.
Orphanet
DiseaseKEGG Disease: ANP32A
MedGen: ANP32A (Human Medical Genetics with Condition)
ClinVar: ANP32A
PhenotypeMGI: ANP32A (International Mouse Phenotyping Consortium)
PhenomicDB: ANP32A

Mutations for ANP32A
* 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
There's no inter-chromosomal structural variation.
- 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
ovaryANP32Achr156910365769103677ANP32Achr156911085669110876
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 ANP32A related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AA634993ANP32A1341156907275969076924ANKRD123363891892560419256094
AI990804ANP32A5195156907674469076935MIR548F11882991186283023186283134
BG002858ANP32A11154156910370069103844HES2150323164761496476322
T20169ANP32A187413156907172269071952C1orf8740442316045872760458746
AA173919POMT112909134398890134399180ANP32A286486156907204169072241

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=16)
Stat. for Synonymous SNVs
(# total SNVs=3)
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
chr15:69072792-69072792p.N215N2
chr15:69076789-69076789p.S158L2
chr15:69076865-69076865p.E133*1
chr15:69080189-69080189p.E42*1
chr15:69072434-69072434p.E246Q1
chr15:69076935-69076935p.?1
chr15:69080226-69080226p.S29S1
chr15:69072443-69072443p.D243Y1
chr15:69079768-69079768p.S104N1
chr15:69080237-69080237p.N26H1

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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
# sample2  1   1   41   2113
# mutation2  1   1   41   2113
nonsynonymous SNV1  1   1   41   2 12
synonymous SNV1                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
chr15:69080146p.L9L1
chr15:69072434p.E246Q1
chr15:69080154p.E225K1
chr15:69072764p.S158L1
chr15:69080226p.D146N1
chr15:69076789p.L145F1
chr15:69113052p.P140Q1
chr15:69076826p.S104N1
chr15:69113056p.P88L1
chr15:69076829p.K65T1

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 ANP32A 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 ANP32A

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

AAGAB,ANP32A,VWA9,C15orf61,CLN6,COX5A,EDC3,
GTF2A2,HNRNPC,IMP3,LOC723972,MAP2K5,OAZ2,PPCDC,
PSMA4,RPL4,SNAPC5,SNUPN,TRIP4,UBL7,WDR61
ANP32A,CFDP1,CLNS1A,CNPY2,HNRNPC,MEA1,MFAP1,
MRFAP1L1,MRPL9,PA2G4,PDCD6,PTMA,RANBP1,RBMX2,
RPS24,SF3B14,SRSF9,STYXL1,UBE2I,UFC1,ZMAT2

ANP32A,BLM,BUB1B,CLN6,CLPX,CSK,EDC3,
EIF3J,FAM98B,FBXO22,HMG20A,KIF23,LEO1,MESDC2,
PDCD7,RPL4,SLTM,SPATA5L1,TIPIN,UBL7,ZWILCH
ANP32A,ANP32B,ATP2C1,BCL11A,CAPRIN1,CCDC15,CRLF2,
DCP2,GPHN,HNRNPA1,HNRNPH3,L3MBTL3,MED17,MEX3C,
NPAT,PHF6,RHOV,SBK1,STX6,SUDS3,USP48
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 ANP32A


There's no related Drug.
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Cross referenced IDs for ANP32A
* 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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