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 PHPT1
Basic gene info.Gene symbolPHPT1
Gene namephosphohistidine phosphatase 1
SynonymsCGI-202|HEL-S-132P|HSPC141|PHP14
CytomapUCSC genome browser: 9q34.3
Genomic locationchr9 :139743255-139745490
Type of geneprotein-coding
RefGenesNM_001135860.1,
NM_001135861.2,NM_001287342.1,NM_001287343.1,NM_014172.5,
NR_109807.1,NR_109808.1,
Ensembl idENSG00000054148
Description14 kDa phosphohistidine phosphataseepididymis secretory sperm binding protein Li 132Pprotein janus-A homologsex-regulated protein janus-a
Modification date20141207
dbXrefs MIM : 610167
HGNC : HGNC
HPRD : 17849
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_PHPT1
BioGPS: 29085
Gene Expression Atlas: ENSG00000054148
The Human Protein Atlas: ENSG00000054148
PathwayNCI Pathway Interaction Database: PHPT1
KEGG: PHPT1
REACTOME: PHPT1
ConsensusPathDB
Pathway Commons: PHPT1
MetabolismMetaCyc: PHPT1
HUMANCyc: PHPT1
RegulationEnsembl's Regulation: ENSG00000054148
miRBase: chr9 :139,743,255-139,745,490
TargetScan: NM_001135860
cisRED: ENSG00000054148
ContextiHOP: PHPT1
cancer metabolism search in PubMed: PHPT1
UCL Cancer Institute: PHPT1
Assigned class in ccmGDBC

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Phenotypic Information for PHPT1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: PHPT1
Familial Cancer Database: PHPT1
* 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_FRUCTOSE_AND_MANNOSE_METABOLISM
KEGG_RIBOFLAVIN_METABOLISM

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: PHPT1
MedGen: PHPT1 (Human Medical Genetics with Condition)
ClinVar: PHPT1
PhenotypeMGI: PHPT1 (International Mouse Phenotyping Consortium)
PhenomicDB: PHPT1

Mutations for PHPT1
* 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 PHPT1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BP388129PPAP2B126415696045156960714PHPT12644999139745226139745461
DB295254PHPT111809139745297139745476DLK117655314101200394101200771

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=1

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=6)
Stat. for Synonymous SNVs
(# total SNVs=2)
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
chr9:139743945-139743945p.K21N1
chr9:139745264-139745264p.D115N1
chr9:139743958-139743958p.R26*1
chr9:139745268-139745268p.Y116F1
chr9:139743963-139743963p.V27V1
chr9:139744014-139744014p.V44V1
chr9:139744466-139744466p.A54A1
chr9:139744479-139744480p.K59fs*131
chr9:139744517-139744517p.C71C1
chr9:139744537-139744537p.R78H1

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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
# sample  1   1    1     5 1
# mutation  1   1    1     5 1
nonsynonymous SNV  1   1    1     3 1
synonymous SNV                 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
chr9:139744466p.V27V,PHPT11
chr9:139744530p.A54A,PHPT11
chr9:139744537p.G76S,PHPT11
chr9:139744542p.R78H,PHPT11
chr9:139744960p.S80P,PHPT11
chr9:139745229p.M96I,PHPT11
chr9:139745268p.A105V,PHPT11
chr9:139743896p.Y118F,PHPT11
chr9:139743963p.D5G,PHPT11

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 PHPT1 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 PHPT1

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

ALKBH7,ATP5D,BLOC1S1,C19orf24,C7orf50,LAMTOR4,C9orf142,
DNLZ,EDF1,FIS1,FKBP2,JOSD2,MPG,MRPL41,
MRPL53,MRPL54,NDUFA13,NUDT22,PHPT1,SSNA1,UQCR11
ANAPC11,ATP5D,COX8A,FAM195A,FAM89B,FAM96B,FASTK,
NAA38,MRPL12,MRPL38,NDUFA13,NDUFB11,NDUFB7,NDUFS6,
NDUFS7,NDUFS8,NOSIP,PHPT1,PTGES2,PAM16,TIMM17B

TMEM256,SMDT1,PTRHD1,COX7A2,EDF1,MIF,MRPL54,
NDUFA13,NDUFA2,NDUFB1,NDUFB7,PHPT1,RPL35,RPL7A,
RPS29,RPS9,RPSAP58,SF3B5,SSNA1,TMEM141,TRUB2
ANAPC11,OXLD1,BABAM1,URB1-AS1,C7orf55,CCDC71,DHPS,
DPM3,ERI3,EXOSC4,HDAC3,KLHDC9,MRPL57,MRPL43,
MUS81,NARFL,NUBP2,PHPT1,PMF1,SDHAF1,ZNF76
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 PHPT1


There's no related Drug.
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Cross referenced IDs for PHPT1
* 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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