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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for PLA2G4E |
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Phenotypic Information for PLA2G4E(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: PLA2G4E |
Familial Cancer Database: PLA2G4E |
* This gene is included in those cancer gene databases. |
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_GLYCEROPHOSPHOLIPID_METABOLISM KEGG_ARACHIDONIC_ACID_METABOLISM KEGG_LINOLEIC_ACID_METABOLISM KEGG_ALPHA_LINOLENIC_ACID_METABOLISM KEGG_FC_GAMMA_R_MEDIATED_PHAGOCYTOSIS |
Mutations for PLA2G4E |
* 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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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows PLA2G4E 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 |
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Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample |   |   |   |   | 1 | 1 |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) |   |   |   |   | 1 | 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) |
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Stat. for Non-Synonymous SNVs (# total SNVs=37) | (# total SNVs=17) |
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(# total SNVs=10) | (# total SNVs=6) |
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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 |
chr15:42302338-42302338 | p.A39fs*19 | 6 |
chr15:42302340-42302341 | p.R35_G36insRG | 5 |
chr15:42302337-42302338 | p.A39fs*14 | 4 |
chr15:42302340-42302340 | p.G36R | 3 |
chr15:42302414-42302414 | p.G11D | 2 |
chr15:42289317-42289317 | p.? | 2 |
chr15:42292107-42292107 | p.? | 2 |
chr15:42302336-42302338 | p.G38delG | 2 |
chr15:42298251-42298251 | p.L125L | 2 |
chr15:42278134-42278134 | p.A673V | 2 |
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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 |   | 3 |   | 5 | 1 |   | 3 |   | 1 |   |   | 2 | 1 |   |   | 1 | 18 | 3 |   | 6 |
# mutation |   | 3 |   | 7 | 1 |   | 3 |   | 1 |   |   | 2 | 1 |   |   | 1 | 21 | 3 |   | 8 |
nonsynonymous SNV |   | 1 |   | 4 | 1 |   | 2 |   | 1 |   |   | 2 |   |   |   | 1 | 12 | 2 |   | 5 |
synonymous SNV |   | 2 |   | 3 |   |   | 1 |   |   |   |   |   | 1 |   |   |   | 9 | 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]) |
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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 |
chr15:42278134 | p.A702V | 2 |
chr15:42285056 | p.R643Q | 1 |
chr15:42292362 | p.L463I | 1 |
chr15:42281633 | p.V230V | 1 |
chr15:42298308 | p.I615I | 1 |
chr15:42285087 | p.E461K | 1 |
chr15:42279469 | p.E211Q | 1 |
chr15:42292364 | p.P614P | 1 |
chr15:42281668 | p.L456L | 1 |
chr15:42298316 | p.C209C | 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 PLA2G4E |
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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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ANKRD26P1,C2orf83,CARD17,CKMT2,COX8C,CSTB,DMD, FAM25BP,H2AFB1,HTR2C,LCN15,PDZK1IP1,PLA2G4E,S100A7, S100A7A,S100A8,S100A9,SEPT14,SSX4,SSX6,TREX2 | ACSL3,ADAM2,ALOX15B,APOD,DHRS2,ENPP3,GUSB, IDI1,NANOG,NAT2,PLA2G4E,PNLIPRP3,PPEF1,RNASE11, RNASE12,SERHL2,SERHL,SRD5A1,SULT1C3,UGT2B11,UGT2B28 |
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CRCT1,CRNN,IL36A,KLK13,KRT14,KRT6A,KRT6C, KRT78,LCE3D,LCE3E,MRGPRX3,PLA2G4E,SBSN,SDR9C7, SERPINB13,SPRR2A,SPRR2B,SPRR2C,SPRR2D,SPRR2E,TGM1 | C4BPB,CD164L2,CD80,CXCL1,DEFB103B,DUOX2,DUOXA1, DUOXA2,IL17A,IL17F,LY6D,MMP10,MMP12,OLR1, PI3,PLA2G4E,RPL22L1,SCFD1,SORD,TNFRSF6B,ZC3H12A |
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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 PLA2G4E |
There's no related Drug. |
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Cross referenced IDs for PLA2G4E |
* 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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