Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 ENO2
Basic gene info.Gene symbolENO2
Gene nameenolase 2 (gamma, neuronal)
SynonymsHEL-S-279|NSE
CytomapUCSC genome browser: 12p13
Genomic locationchr12 :7023613-7032859
Type of geneprotein-coding
RefGenesNM_001975.2,
Ensembl idENSG00000269528
Description2-phospho-D-glycerate hydro-lyase2-phospho-D-glycerate hydrolyaseepididymis secretory protein Li 279gamma-enolaseneural enolaseneuron specific gamma enolaseneuron-specific enolaseneurone-specific enolase
Modification date20141207
dbXrefs MIM : 131360
HGNC : HGNC
Ensembl : ENSG00000111674
HPRD : 00573
Vega : OTTHUMG00000168967
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ENO2
BioGPS: 2026
Gene Expression Atlas: ENSG00000269528
The Human Protein Atlas: ENSG00000269528
PathwayNCI Pathway Interaction Database: ENO2
KEGG: ENO2
REACTOME: ENO2
ConsensusPathDB
Pathway Commons: ENO2
MetabolismMetaCyc: ENO2
HUMANCyc: ENO2
RegulationEnsembl's Regulation: ENSG00000269528
miRBase: chr12 :7,023,613-7,032,859
TargetScan: NM_001975
cisRED: ENSG00000269528
ContextiHOP: ENO2
cancer metabolism search in PubMed: ENO2
UCL Cancer Institute: ENO2
Assigned class in ccmGDBC

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Phenotypic Information for ENO2(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ENO2
Familial Cancer Database: ENO2
* 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_GLYCOLYSIS_GLUCONEOGENESIS
REACTOME_METABOLISM_OF_CARBOHYDRATES
REACTOME_GLUCOSE_METABOLISM

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: ENO2
MedGen: ENO2 (Human Medical Genetics with Condition)
ClinVar: ENO2
PhenotypeMGI: ENO2 (International Mouse Phenotyping Consortium)
PhenomicDB: ENO2

Mutations for ENO2
* 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
pancreasENO2chr1270277587027958ENO2chr1270322867032486
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 ENO2 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AU142951NAE11511166684291166850908ENO25117121270237227025082
BQ302654CLASRP1135194555779845557933ENO21205871270308267032073
BQ316184ENO211321270312427031553TNRC18127642753991565410034
DA094244LOC1005074121151?112029112179ENO21505631270237427024155

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 # sample1                
GAIN (# sample)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=7

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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=12)
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
chr12:7031324-7031324p.G391G7
chr12:7028831-7028831p.Y257H3
chr12:7025017-7025017p.W7*3
chr12:7026819-7026819p.P129A2
chr12:7028928-7028928p.?2
chr12:7031509-7031509p.I393M2
chr12:7025874-7025874p.A74V2
chr12:7025009-7025009p.K5Q1
chr12:7031296-7031296p.A382V1
chr12:7026818-7026818p.L128L1

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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
# sample1  31 2 1  11   34 6
# mutation1  31 2 1  11   34 6
nonsynonymous SNV1  31   1  11   23 6
synonymous SNV      2         11  
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
chr12:7031310p.G387W2
chr12:7031525p.K5Q1
chr12:7025009p.G348S1
chr12:7028878p.I6I1
chr12:7025014p.A382V1
chr12:7028895p.P36S1
chr12:7025601p.L58S1
chr12:7030789p.G387G1
chr12:7025668p.G59D1
chr12:7030875p.I393M1

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 ENO2 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 ENO2

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

ACTL6B,APLP1,ATCAY,LINC01548,CAMK2N2,CRMP1,DPYSL5,
ENO2,FAM150A,FAM57B,GABRA4,GDAP1L1,GLS2,KCNH2,
LMO3,MAPK8IP1,SCAMP5,ST18,STMN3,TIGD3,TMEM179
ACTR5,AZIN2,APOBEC3G,ATG9B,C11orf80,CABLES2,CDK2,
DEF6,DGKA,DMKN,ENO2,FBXO41,FCHSD1,FER1L4,
GNB5,HDAC1,LOC643008,MAPK15,RND2,SMAGP,WNT10A

ALKBH5,BNIP3L,DNAAF3,CAMK2N2,CDR2L,COQ10A,DUSP4,
ENO2,GNB5,HPSE,LMF2,MAP3K6,P4HA1,PFKFB3,
PFKP,PKM,SPHK1,TBC1D8,TRIB2,ULBP2,WDR54
ADCY2,APBB1,CD81,CLIP3,DTX3,ENO2,FAM127C,
FGFR1,GFRA1,GPRASP1,GRIK5,HAND2,JAM3,LIX1L,
MAGED4B,MAGEE1,MEIS1,PGR,PLCL1,SLC4A3,SMARCA1
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 ENO2


There's no related Drug.
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Cross referenced IDs for ENO2
* 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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