Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

Home

Search

Download

 Statistics

Help

About Us

Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

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 ENOPH1
Basic gene info.Gene symbolENOPH1
Gene nameenolase-phosphatase 1
SynonymsE1|MASA|MST145|mtnC
CytomapUCSC genome browser: 4q21.22
Genomic locationchr4 :83351725-83382244
Type of geneprotein-coding
RefGenesNM_001292017.1,
NM_021204.4,NR_120457.1,
Ensembl idENSG00000145293
Description2,3-diketo-5-methylthio-1-phosphopentane phosphataseacireductone synthaseenolase-phosphatase E1
Modification date20141207
dbXrefs HGNC : HGNC
Ensembl : ENSG00000145293
HPRD : 17467
Vega : OTTHUMG00000130295
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ENOPH1
BioGPS: 58478
Gene Expression Atlas: ENSG00000145293
The Human Protein Atlas: ENSG00000145293
PathwayNCI Pathway Interaction Database: ENOPH1
KEGG: ENOPH1
REACTOME: ENOPH1
ConsensusPathDB
Pathway Commons: ENOPH1
MetabolismMetaCyc: ENOPH1
HUMANCyc: ENOPH1
RegulationEnsembl's Regulation: ENSG00000145293
miRBase: chr4 :83,351,725-83,382,244
TargetScan: NM_001292017
cisRED: ENSG00000145293
ContextiHOP: ENOPH1
cancer metabolism search in PubMed: ENOPH1
UCL Cancer Institute: ENOPH1
Assigned class in ccmGDBC

Top
Phenotypic Information for ENOPH1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ENOPH1
Familial Cancer Database: ENOPH1
* 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_CYSTEINE_AND_METHIONINE_METABOLISM
REACTOME_SULFUR_AMINO_ACID_METABOLISM
REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES
REACTOME_METABOLISM_OF_POLYAMINES

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: ENOPH1
MedGen: ENOPH1 (Human Medical Genetics with Condition)
ClinVar: ENOPH1
PhenotypeMGI: ENOPH1 (International Mouse Phenotyping Consortium)
PhenomicDB: ENOPH1

Mutations for ENOPH1
* 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 ENOPH1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BC000236TSNAX112341231664437231700892ENOPH11229130648336835083368427

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

Top
check002.gifCopy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample                1
GAIN (# sample)                 
LOSS (# sample)                1
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)

Top
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

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=19)
Stat. for Synonymous SNVs
(# total SNVs=10)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.There's no inserted snv.

Top
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
chr4:83372327-83372327p.K106N2
chr4:83375977-83375977p.F164F2
chr4:83381193-83381193p.A236T2
chr4:83375878-83375878p.F131F2
chr4:83369094-83369094p.E36K2
chr4:83375965-83375965p.Q160H1
chr4:83381192-83381192p.N235N1
chr4:83372360-83372360p.M117I1
chr4:83375989-83375989p.T168T1
chr4:83381239-83381240p.S251F1

Top
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 1121 2 1  42   32 5
# mutation 1131 2 1  32   32 5
nonsynonymous SNV 112  1    22   22 2
synonymous SNV   11 1 1  1    1  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])

Top
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
chr4:83381180p.F76F,ENOPH12
chr4:83369094p.E36K2
chr4:83375977p.V143V,ENOPH12
chr4:83375878p.F43F,ENOPH12
chr4:83378172p.A71T,ENOPH11
chr4:83375938p.Q72H,ENOPH11
chr4:83375948p.G77G,ENOPH11
chr4:83381193p.T80T,ENOPH11
chr4:83375957p.S5L1
chr4:83351996p.G90C,ENOPH11

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 ENOPH1 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]

Top
Gene Expression for ENOPH1

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))
Top
check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


Top
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

ANAPC10,MZT1,CISD2,DCK,EIF4E,ENOPH1,LIN54,
LAMTOR3,METAP1,NECAP1,PAICS,PDS5A,PPAT,RWDD4,
SCOC,THAP9,TMEM150C,TMEM33,TMEM68,UBE2K,USP38
ACP1,BUB3,SMIM15,CBX3,CSTF1,DBF4,E2F5,
EEF1E1,ENOPH1,FAM103A1,HMGN1,LRRC8D,NIFK,NOL11,
PAICS,PEX11B,PPA2,SET,TADA1,TTC19,UTP18

ABCE1,AIMP1,ANAPC10,TMA16,C4orf46,CCDC59,CISD2,
COMMD8,EIF4E,ENOPH1,LSM6,MAD2L1,METAP1,MRPL1,
MRPS18C,MRPS23,NUP54,PAICS,PIGY,PPID,RWDD4
ACTL6A,COPS3,DCAF13,EEF1E1,ENOPH1,GLMN,HAUS1,
MRPL3,MRPL50,NUDCD1,NUP54,OSTC,POLE3,RAN,
SNRNP40,SNRPE,TMEM126A,TOMM5,TOMM6,TRIAP1,UBA2
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

Top
check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

Top
Pharmacological Information for ENOPH1


There's no related Drug.
Top
Cross referenced IDs for ENOPH1
* 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



Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @
Site Policies | State of Texas