Cancer Cell Metabolism Database ~~ Bioinformatics and Systems Medicine Laboratory ~~

Cancer Cell Metabolism Gene Database

Cancer Cell Metabolism Gene DB

Home

	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 DGKQ

Basic gene info.	Gene symbol	DGKQ
	Gene name	diacylglycerol kinase, theta 110kDa
	Synonyms	DAGK\|DAGK4\|DAGK7
	Cytomap	UCSC genome browser: 4p16.3
	Genomic location	chr4 :952671-967348
	Type of gene	protein-coding
	RefGenes	NM_001347.3,
	Ensembl id	ENSG00000145214
	Description	DAG kinase thetaDGK-thetadiacylglycerol kinase thetadiglyceride kinase theta
	Modification date	20141207
dbXrefs	MIM : 601207
	HGNC : HGNC
	Ensembl : ENSG00000145214
	HPRD : 03127
	Vega : OTTHUMG00000088629
Protein	UniProt: P52824 go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_DGKQ
	BioGPS: 1609
	Gene Expression Atlas: ENSG00000145214
	The Human Protein Atlas: ENSG00000145214
Pathway	NCI Pathway Interaction Database: DGKQ
	KEGG: DGKQ
	REACTOME: DGKQ
	ConsensusPathDB
	Pathway Commons: DGKQ
Metabolism	MetaCyc: DGKQ
	HUMANCyc: DGKQ
Regulation	Ensembl's Regulation: ENSG00000145214
	miRBase: chr4 :952,671-967,348
	TargetScan: NM_001347
	cisRED: ENSG00000145214
Context	iHOP: DGKQ
	cancer metabolism search in PubMed: DGKQ
	UCL Cancer Institute: DGKQ
Assigned class in ccmGDB	B - This gene belongs to cancer gene.

Top

Phenotypic Information for DGKQ(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: DGKQ
	Familial Cancer Database: DGKQ

* 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/

Metabolic Pathway Description
KEGG_GLYCEROLIPID_METABOLISM KEGG_GLYCEROPHOSPHOLIPID_METABOLISM

Others
OMIM	601207; gene.
Orphanet
Disease	KEGG Disease: DGKQ
	MedGen: DGKQ (Human Medical Genetics with Condition)
	ClinVar: DGKQ
Phenotype	MGI: DGKQ (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: DGKQ

Mutations for DGKQ

* 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.

Structural Variants in COSMIC : go to COSMIC mutation histogram

There's no structural variation information in COSMIC data for this gene.

Related fusion transcripts : go to Chitars2.0

* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows DGKQ related fusion information.

Head Gene

Tail Gene

Accession

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Other DBs for Structural Variants

Structural Variants in Ensembl: go to Ensembl Structural variation

Structural Variants in dbVar: go to dbVar

Top

Copy Number Variations in COSMIC : go to COSMIC mutation CNV/Expr

Mutation type/ Tissue ID

brca

cns

cerv

endome

haematopo

kidn

Lintest

liver

lung

ovary

pancre

prost

skin

stoma

thyro

urina

Total # sample

GAIN (# sample)

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

SNV 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=3

Top

Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=21)	Stat. for Synonymous SNVs (# total SNVs=15)

Stat. for Deletions (# total SNVs=1)	Stat. for Insertions (# total SNVs=1)

Top

Top 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 position	Mutation(aa)	Unique sampleID count
chr4:961373-961373	p.V317V	3
chr4:957013-957013	p.L600L	2
chr4:955832-955832	p.D751E	2
chr4:954966-954966	p.R866R	1
chr4:960292-960292	p.E464K	1
chr4:956304-956304	p.L711L	1
chr4:961414-961414	p.D304H	1
chr4:956989-956989	p.S608R	1
chr4:954972-954973	p.L865fs*45	1
chr4:960542-960542	p.R454R	1

Top

SNV 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 ID	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
# sample	3	3		2	2		5	1	1			2	1			2	7	3		4
# mutation	3	3		2	2		6	1	1			2	1			2	7	3		4
nonsynonymous SNV	2	1		1	1		4	1	1				1			2	4	1		2
synonymous SNV	1	2		1	1		2					2					3	2		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

Top 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 Position	Mutation(aa)	Unique sampleID count
chr4:955359	p.L793M	1
chr4:961572	p.A550A	1
chr4:956357	p.N775T	1
chr4:959304	p.A541A	1
chr4:955487	p.F769L	1
chr4:956367	p.S531S	1
chr4:959312	p.L754L	1
chr4:955492	p.V529M	1
chr4:956607	p.L711L	1
chr4:960292	p.E464K	1

Other 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

Copy Number for DGKQ 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 DGKQ

Gene 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.

Differential 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

CNV 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

Co-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


ACAP3,TMEM259,CAPN10,CTBP1,DGKQ,FAM53A,FLYWCH1, GAK,IDUA,MAEA,MFSD10,MICALL2,PLEKHH3,RGS12, RHOT2,SLC26A1,TELO2,TMEM129,TMEM175,TNIP2,NELFA	ANAPC2,ARFGAP1,B3GAT3,C17orf70,CAPN10,CTDP1,DGKQ, E4F1,GAK,LRWD1,NDOR1,PNKP,PUS1,RABEP2, RANGAP1,RHOT2,SLC12A9,TELO2,TRIM11,ZBTB17,ZNF513

ARHGEF16,BAIAP2L2,CDC42BPG,CGN,CRIPAK,CTBP1,DGKQ, ERN2,GAK,UVSSA,MYO7B,PCGF3,PLEKHA6,SH3BP2, TADA2B,TJP3,TMEM129,TNIP2,TSC2,ZBTB7B,ZFYVE28	ABR,ADCY6,ARHGAP27,ARHGEF16,CC2D1A,CTDP1,DGKQ, DQX1,GRAMD4,HDAC10,KIAA1522,CAMSAP3,MAST3,MGAT4B, PFKL,RAB40C,RAPGEFL1,SIPA1L3,SLC26A6,TPCN1,ZNF784

Co-Expressed gene's Protein-protein interaction Network Plot

: Open all plots for all cancer types

Top

Interacting Genes (from Pathway Commons)

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

Top

Pharmacological Information for DGKQ

There's no related Drug.

Top

Cross referenced IDs for DGKQ

* 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