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 DGKE
Basic gene info.Gene symbolDGKE
Gene namediacylglycerol kinase, epsilon 64kDa
SynonymsDAGK5|DAGK6|DGK|NPHS7
CytomapUCSC genome browser: 17q22
Genomic locationchr17 :54911459-54946036
Type of geneprotein-coding
RefGenesNM_003647.2,
Ensembl idENSG00000153933
DescriptionDAG kinase epsilonDGK-epsilondiacylglycerol kinase epsilondiglyceride kinase epsilon
Modification date20141219
dbXrefs MIM : 601440
HGNC : HGNC
Ensembl : ENSG00000153933
HPRD : 03259
Vega : OTTHUMG00000178121
ProteinUniProt: P52429
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_DGKE
BioGPS: 8526
Gene Expression Atlas: ENSG00000153933
The Human Protein Atlas: ENSG00000153933
PathwayNCI Pathway Interaction Database: DGKE
KEGG: DGKE
REACTOME: DGKE
ConsensusPathDB
Pathway Commons: DGKE
MetabolismMetaCyc: DGKE
HUMANCyc: DGKE
RegulationEnsembl's Regulation: ENSG00000153933
miRBase: chr17 :54,911,459-54,946,036
TargetScan: NM_003647
cisRED: ENSG00000153933
ContextiHOP: DGKE
cancer metabolism search in PubMed: DGKE
UCL Cancer Institute: DGKE
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of DGKE in cancer cell metabolism1. Marquez J, Kohli M, Arteta B, Chang S, Li WB, et al. (2013) Identification of hepatic microvascular adhesion-related genes of human colon cancer cells using random homozygous gene perturbation. Int J Cancer 133: 2113-2122. doi: 10.1002/ijc.28232. go to article

Top
Phenotypic Information for DGKE(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: DGKE
Familial Cancer Database: DGKE
* 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_GLYCEROLIPID_METABOLISM
KEGG_GLYCEROPHOSPHOLIPID_METABOLISM

check002.gifOthers
OMIM 601440; gene.
615008; phenotype.
Orphanet 329903; Immunoglobulin-mediated membranoproliferative glomerulonephritis.
357008; Atypical hemolytic-uremic syndrome with DGKE deficiency.
DiseaseKEGG Disease: DGKE
MedGen: DGKE (Human Medical Genetics with Condition)
ClinVar: DGKE
PhenotypeMGI: DGKE (International Mouse Phenotyping Consortium)
PhenomicDB: DGKE

Mutations for DGKE
* 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 DGKE related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a

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 # sample4                
GAIN (# sample)4                
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)

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=4

Top
check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=41)
Stat. for Synonymous SNVs
(# total SNVs=10)
Stat. for Deletions
(# total SNVs=3)
Stat. for Insertions
(# total SNVs=1)

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
chr17:54939586-54939586p.R500*3
chr17:54921519-54921519p.T204fs*63
chr17:54940090-54940090p.E548K3
chr17:54912452-54912452p.L99R3
chr17:54939989-54939989p.S514F2
chr17:54940014-54940014p.G522G2
chr17:54940083-54940083p.F545L2
chr17:54926111-54926111p.D315N2
chr17:54939558-54939558p.Q490Q2
chr17:54926178-54926178p.R337Q2

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
# sample22 22 2 11 532  89 7
# mutation22 22 2 11 532  89 7
nonsynonymous SNV21 22 2 11 431  48 5
synonymous SNV 1         1 1  41 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])

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
chr17:54940014p.G522G2
chr17:54925329p.D103H1
chr17:54912287p.D348H1
chr17:54939506p.F545L1
chr17:54912529p.I111S1
chr17:54925375p.D348G1
chr17:54912335p.S546P1
chr17:54939507p.H125Y1
chr17:54912541p.P365L1
chr17:54925404p.R129W1

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 DGKE 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 DGKE

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

AFF3,BPTF,C12orf66,CHD6,DGKE,FAM122B,GUF1,
HAUS3,HELZ,ICA1L,LARP4,MBLAC2,MED13,MFSD8,
PRKAR1A,RAB39B,RNF157,SERINC3,TMEM192,VEZF1,ZSWIM5
ALG10B,CARF,ANKRD12,BAZ2B,DGKE,DPY19L4,GAB1,
HACE1,MFSD8,MON2,FTX,NFAT5,NKTR,PHC3,
PHIP,SENP7,XRN1,ZMAT1,ZMYM1,ZNF451,ZNF75D

ANKRD40,C17orf67,CCSAP,CEP95,CCDC93,CRLF3,DBF4B,
DGKE,DKFZp686O24166,FBXO41,INTS2,MTMR4,NPLOC4,NUFIP2,
RBM33,RELL2,SEC61A2,SUN1,SUZ12P1,TLK2,TRIM37
ARMCX3,CAPRIN2,CHIC1,DGKE,EPM2AIP1,IRS1,KIAA1377,
MYEF2,PHF10,PPP1R9A,RUFY2,SMAD5,SPIN3,TMX3,
TULP3,TWSG1,USP13,WASF3,ZNF354B,ZNF449,ZNF793
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 DGKE


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