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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for PEMT |
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Phenotypic Information for PEMT(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: PEMT |
Familial Cancer Database: PEMT |
* 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/ |
Metabolic Pathway Description | |
KEGG_GLYCEROPHOSPHOLIPID_METABOLISM REACTOME_PHOSPHOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: PEMT |
MedGen: PEMT (Human Medical Genetics with Condition) | |
ClinVar: PEMT | |
Phenotype | MGI: PEMT (International Mouse Phenotyping Consortium) |
PhenomicDB: PEMT |
Mutations for PEMT |
* 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 |
- Statistics for Tissue and Mutation type | Top |
- 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'. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
central_nervous_system | PEMT | chr17 | 17422757 | 17422757 | PEMT | chr17 | 17432354 | 17432354 |
ovary | PEMT | chr17 | 17464556 | 17464576 | chr17 | 79633733 | 79633753 | |
pancreas | PEMT | chr17 | 17456413 | 17456433 | chr20 | 62914043 | 62914063 |
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) |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows PEMT 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 |
AA035445 | PEMT | 134 | 154 | 17 | 17427046 | 17427066 | SCNN1A | 138 | 368 | 12 | 6457185 | 6457412 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) | 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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SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
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Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=11) | (# total SNVs=5) |
(# total SNVs=0) | (# total SNVs=0) |
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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 |
chr17:17415867-17415867 | p.V141A | 2 |
chr17:17409560-17409560 | p.V212M | 2 |
chr17:17425608-17425608 | p.F102F | 2 |
chr17:17412831-17412831 | p.A165A | 1 |
chr17:17480299-17480299 | p.P47S | 1 |
chr17:17412849-17412849 | p.F159F | 1 |
chr17:17480306-17480306 | p.Y44Y | 1 |
chr17:17480323-17480323 | p.T39S | 1 |
chr17:17409144-17409144 | p.I224M | 1 |
chr17:17415878-17415878 | p.G137G | 1 |
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SNV Counts per Each Loci in TCGA data |
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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 |   |   | 1 |   | 1 |   |   | 1 |   |   |   | 2 | 4 | 1 |   | 1 |
# mutation |   |   |   | 3 |   |   | 1 |   | 1 |   |   | 1 |   |   |   | 2 | 3 | 1 |   | 1 |
nonsynonymous SNV |   |   |   | 2 |   |   |   |   |   |   |   | 1 |   |   |   | 1 | 2 | 1 |   | 1 |
synonymous SNV |   |   |   | 1 |   |   | 1 |   | 1 |   |   |   |   |   |   | 1 | 1 |   |   |   |
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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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 |
chr17:17425608 | p.F80F,PEMT | 2 |
chr17:17425656 | p.S208S,PEMT | 1 |
chr17:17425685 | p.E195K,PEMT | 1 |
chr17:17409126 | p.V190M,PEMT | 1 |
chr17:17425706 | p.N155S,PEMT | 1 |
chr17:17409545 | p.P149S,PEMT | 1 |
chr17:17480299 | p.T146I,PEMT | 1 |
chr17:17409560 | p.A143A,PEMT | 1 |
chr17:17412796 | p.F137F,PEMT | 1 |
chr17:17412815 | p.P64P,PEMT | 1 |
Other DBs for Point Mutations |
Copy Number for PEMT 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 PEMT |
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)) |
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CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
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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 |
ARL2,C17orf49,C1orf86,C9orf16,CCDC85B,DRG2,CTDNEP1, ABHD17A,NAA38,MAP2K2,MBD3,MED9,NDUFA11,NT5M, PEMT,PLIN4,PSMB6,RDH5,RNASEK,TRAPPC1,ZSWIM7 | ANKDD1A,ARHGDIG,CCDC107,DMTN,FADS3,FSTL3,ITGB5, ITIH5,ITPK1,MMP28,MSC,PEMT,PEPD,PMEPA1, RAB3C,RHOXF1,SLC35C1,SRPX2,TMEM189,TPST2,ZNF541 |
ATPAF2,C17orf49,ELP5,C1QBP,COPS3,DRG2,NAA38, MED11,MED9,LRRC75A-AS1,PEMT,PRPSAP2,PSMB6,RANGRF, RNF167,RPAIN,SLC25A11,STX8,TRAPPC1,UBB,YWHAE | AHCY,APEX1,MRPS26,PEMT,RPL10,RPL10A,RPL18A, RPL19,RPL29,RPL3,RPL7A,RPL8,RPLP0,RPS3, RPS5,RPSAP58,RPUSD4,SUMF2,TMEM5,TTC5,ZNF511 |
Co-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 |
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Interacting Genes (from Pathway Commons) |
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Pharmacological Information for PEMT |
There's no related Drug. |
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Cross referenced IDs for PEMT |
* 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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