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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for DGKZ |
Basic gene info. | Gene symbol | DGKZ |
Gene name | diacylglycerol kinase, zeta | |
Synonyms | DAGK5|DAGK6|DGK-ZETA|hDGKzeta | |
Cytomap | UCSC genome browser: 11p11.2 | |
Genomic location | chr11 :46354454-46402104 | |
Type of gene | protein-coding | |
RefGenes | NM_001105540.1, NM_001199266.1,NM_001199267.1,NM_003646.3,NM_201532.2, NM_201533.3,NM_001199268.1, | |
Ensembl id | ENSG00000149091 | |
Description | DAG kinase zetadiacylglycerol kinase zetadiacylglycerol kinase, zeta 104kDadiglyceride kinase zeta | |
Modification date | 20141207 | |
dbXrefs | MIM : 601441 | |
HGNC : HGNC | ||
Ensembl : ENSG00000149091 | ||
HPRD : 03260 | ||
Vega : OTTHUMG00000166437 | ||
Protein | UniProt: Q13574 go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_DGKZ | |
BioGPS: 8525 | ||
Gene Expression Atlas: ENSG00000149091 | ||
The Human Protein Atlas: ENSG00000149091 | ||
Pathway | NCI Pathway Interaction Database: DGKZ | |
KEGG: DGKZ | ||
REACTOME: DGKZ | ||
ConsensusPathDB | ||
Pathway Commons: DGKZ | ||
Metabolism | MetaCyc: DGKZ | |
HUMANCyc: DGKZ | ||
Regulation | Ensembl's Regulation: ENSG00000149091 | |
miRBase: chr11 :46,354,454-46,402,104 | ||
TargetScan: NM_001105540 | ||
cisRED: ENSG00000149091 | ||
Context | iHOP: DGKZ | |
cancer metabolism search in PubMed: DGKZ | ||
UCL Cancer Institute: DGKZ | ||
Assigned class in ccmGDB | A - This gene has a literature evidence and it belongs to cancer gene. | |
References showing role of DGKZ in cancer cell metabolism | 1. Vrba L, Junk DJ, Novak P, Futscher BW (2008) p53 induces distinct epigenetic states at its direct target promoters. BMC Genomics 9: 486. doi: 10.1186/1471-2164-9-486. pmid: 2585595. go to article |
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Phenotypic Information for DGKZ(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: DGKZ |
Familial Cancer Database: DGKZ |
* This gene is included in those cancer gene databases. |
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Oncogene 1 | Significant driver gene in |
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/ |
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KEGG_GLYCEROLIPID_METABOLISM KEGG_GLYCEROPHOSPHOLIPID_METABOLISM |
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OMIM | 601441; gene. 601441; gene. |
Orphanet | |
Disease | KEGG Disease: DGKZ |
MedGen: DGKZ (Human Medical Genetics with Condition) | |
ClinVar: DGKZ | |
Phenotype | MGI: DGKZ (International Mouse Phenotyping Consortium) |
PhenomicDB: DGKZ |
Mutations for DGKZ |
* 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. |
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- Statistics for Tissue and Mutation type | Top |
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- For Inter-chromosomal Variations |
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'. |
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- 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'. |
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Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
ovary | DGKZ | chr11 | 46380853 | 46380873 | DGKZ | chr11 | 46394630 | 46394650 |
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) |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows DGKZ related fusion information. |
ID | 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 |
AW889506 | DGKZ | 41 | 240 | 11 | 46397727 | 46397926 | DGKZ | 234 | 382 | 11 | 46396812 | 46396960 | |
AI638821 | DGKZ | 2 | 108 | 11 | 46401998 | 46402104 | RAB6B | 105 | 527 | 3 | 133545158 | 133545580 | |
BI032998 | MEG3 | 40 | 357 | 14 | 101314669 | 101314990 | DGKZ | 347 | 526 | 11 | 46389528 | 46389707 | |
BG945849 | DGKZ | 1 | 185 | 11 | 46398738 | 46398926 | PCSK7 | 182 | 307 | 11 | 117096141 | 117096734 | |
AI656073 | DGKZ | 2 | 108 | 11 | 46401998 | 46402104 | RAB6B | 105 | 495 | 3 | 133545158 | 133545548 |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=52) | (# total SNVs=12) |
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(# total SNVs=0) | (# total SNVs=1) |
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* 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 |
chr11:46389258-46389258 | p.F126L | 2 |
chr11:46389292-46389292 | p.M138L | 2 |
chr11:46397143-46397143 | p.Q640Q | 2 |
chr11:46398102-46398102 | p.I746I | 2 |
chr11:46397158-46397158 | p.R645R | 2 |
chr11:46391092-46391092 | p.V181I | 1 |
chr11:46395999-46395999 | p.A502T | 1 |
chr11:46400643-46400643 | p.R857C | 1 |
chr11:46388861-46388861 | p.G78A | 1 |
chr11:46393125-46393125 | p.T260I | 1 |
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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 | 4 | 1 |   | 11 | 5 |   | 3 |   | 3 |   |   | 5 | 4 |   |   | 1 | 11 | 7 | 1 | 11 |
# mutation | 6 | 1 |   | 12 | 5 |   | 3 |   | 3 |   |   | 5 | 4 |   |   | 1 | 11 | 7 | 1 | 13 |
nonsynonymous SNV | 3 |   |   | 8 | 4 |   | 2 |   | 2 |   |   | 4 | 4 |   |   | 1 | 7 | 5 | 1 | 11 |
synonymous SNV | 3 | 1 |   | 4 | 1 |   | 1 |   | 1 |   |   | 1 |   |   |   |   | 4 | 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]) |
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* 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 |
chr11:46397884 | p.D677N,DGKZ | 2 |
chr11:46393049 | p.T756M,DGKZ | 1 |
chr11:46398102 | p.E102Q,DGKZ | 1 |
chr11:46387912 | p.E205K,DGKZ | 1 |
chr11:46393685 | p.S454S,DGKZ | 1 |
chr11:46400643 | p.R758W,DGKZ | 1 |
chr11:46389250 | p.S106A,DGKZ | 1 |
chr11:46396525 | p.G211V,DGKZ | 1 |
chr11:46393057 | p.A463T,DGKZ | 1 |
chr11:46398650 | p.A764S,DGKZ | 1 |
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* 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. |
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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 DGKZ |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* 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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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* 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 |
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AGAP3,ATAD3A,C1orf159,CDC34,CSK,CSNK1G2,DAZAP1, DGKZ,DOHH,ESRRA,GRK6,LRWD1,MIIP,PEX16, PSMC3,RNF166,SAFB,SH2B2,TAF6L,TSC22D4,ZNF408 | APBA3,ARMC6,ASPSCR1,ATAD3A,RABL6,CSNK1G2,CTBP1, DGKZ,LRWD1,MAP2K2,MBD3,NCLN,NUBP2,POLRMT, PTCD1,RPS6KB2,SCAF1,SCRIB,STK11,TAF6L,TELO2 |
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ADRM1,ANO9,BRAT1,CLCN7,DGKZ,DUS1L,GIT1, GMEB2,INTS1,KAT2A,LRRC45,PEX16,PKP3,RALY, RECQL4,SCRIB,TBL3,TELO2,TOMM34,TRMT61A,ZGPAT | ACOT12,ASPDH,LINC00479,CD82,CIDEB,DGKZ,DSG3, RMDN3,GGN,KDM8,MT1B,MYH7,NLRP6,OSBPL6, PLCB3,PRSS1,SLC2A5,SLC5A1,SLC5A2,SLC6A6,TTC36 |
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* 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 |
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Pharmacological Information for DGKZ |
There's no related Drug. |
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Cross referenced IDs for DGKZ |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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