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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for PNLIP |
Basic gene info. | Gene symbol | PNLIP |
Gene name | pancreatic lipase | |
Synonyms | PL|PNLIPD|PTL | |
Cytomap | UCSC genome browser: 10q26.1 | |
Genomic location | chr10 :118305427-118327367 | |
Type of gene | protein-coding | |
RefGenes | NM_000936.2, | |
Ensembl id | ENSG00000175535 | |
Description | pancreatic triacylglycerol lipasetriacylglycerol acylhydrolase | |
Modification date | 20141207 | |
dbXrefs | MIM : 246600 | |
HGNC : HGNC | ||
Ensembl : ENSG00000175535 | ||
HPRD : 02005 | ||
Vega : OTTHUMG00000019103 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_PNLIP | |
BioGPS: 5406 | ||
Gene Expression Atlas: ENSG00000175535 | ||
The Human Protein Atlas: ENSG00000175535 | ||
Pathway | NCI Pathway Interaction Database: PNLIP | |
KEGG: PNLIP | ||
REACTOME: PNLIP | ||
ConsensusPathDB | ||
Pathway Commons: PNLIP | ||
Metabolism | MetaCyc: PNLIP | |
HUMANCyc: PNLIP | ||
Regulation | Ensembl's Regulation: ENSG00000175535 | |
miRBase: chr10 :118,305,427-118,327,367 | ||
TargetScan: NM_000936 | ||
cisRED: ENSG00000175535 | ||
Context | iHOP: PNLIP | |
cancer metabolism search in PubMed: PNLIP | ||
UCL Cancer Institute: PNLIP | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for PNLIP(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: PNLIP |
Familial Cancer Database: PNLIP |
* 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/ |
Metabolic Pathway Description | |
KEGG_GLYCEROLIPID_METABOLISM REACTOME_METABOLISM_OF_STEROID_HORMONES_AND_VITAMINS_A_AND_D REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: PNLIP |
MedGen: PNLIP (Human Medical Genetics with Condition) | |
ClinVar: PNLIP | |
Phenotype | MGI: PNLIP (International Mouse Phenotyping Consortium) |
PhenomicDB: PNLIP |
Mutations for PNLIP |
* 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 PNLIP 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 |
BC015104 | PNLIP | 3 | 309 | 10 | 118305443 | 118307949 | CPB1 | 306 | 1363 | 3 | 148558670 | 148577974 | |
W52671 | PNLIP | 1 | 131 | 10 | 118315603 | 118318768 | PNLIP | 129 | 435 | 10 | 118318753 | 118321136 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
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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=76) | (# total SNVs=19) |
(# total SNVs=0) | (# total SNVs=1) |
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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 |
chr10:118318795-118318795 | p.R354C | 3 |
chr10:118315008-118315008 | p.G267E | 2 |
chr10:118307955-118307955 | p.I95M | 2 |
chr10:118314780-118314780 | p.T221M | 2 |
chr10:118306871-118306871 | p.E38K | 2 |
chr10:118306806-118306806 | p.G16V | 2 |
chr10:118327281-118327281 | p.E457K | 2 |
chr10:118306827-118306827 | p.R23K | 2 |
chr10:118314941-118314941 | p.P245A | 2 |
chr10:118313248-118313248 | p.G157S | 2 |
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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 | 4 |   | 8 |   |   | 2 |   | 3 |   |   | 9 | 10 | 2 | 1 |   | 11 | 7 |   | 10 |
# mutation | 3 | 4 |   | 8 |   |   | 2 |   | 3 |   |   | 10 | 11 | 2 | 1 |   | 13 | 7 |   | 10 |
nonsynonymous SNV | 2 | 3 |   | 7 |   |   | 2 |   | 3 |   |   | 10 | 10 | 2 |   |   | 6 | 4 |   | 6 |
synonymous SNV | 1 | 1 |   | 1 |   |   |   |   |   |   |   |   | 1 |   | 1 |   | 7 | 3 |   | 4 |
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 |
chr10:118314941 | p.P245S | 3 |
chr10:118306806 | p.R54C | 2 |
chr10:118327281 | p.G16E | 2 |
chr10:118306919 | p.E457K | 2 |
chr10:118306827 | p.R23K | 2 |
chr10:118306831 | p.L24L | 2 |
chr10:118305632 | p.P210P | 1 |
chr10:118314780 | p.G319R | 1 |
chr10:118327269 | p.K444E | 1 |
chr10:118306875 | p.L10M | 1 |
Other DBs for Point Mutations |
Copy Number for PNLIP 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 PNLIP |
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 |
B3GNT1,C4BPB,LRRC73,TMEM244,CFC1B,DRAP1,FAM155A, FAM74A3,GOLT1A,HSPA12A,INPP5J,KRTAP10-8,MSRB2,MT3, OR4K1,PELI3,PNLIPRP2,RANGRF,SERGEF,SIRT3,TM7SF2 | AKAP5,ASTL,BNIPL,DCT,DYTN,ESR1,FAM47A, FGF3,IGDCC3,KRTAP5-8,LUZP2,NCAM2,NDP,OR4M1, PNLIPRP2,POF1B,SMCP,SPATA19,SPOCK3,SULT1E1,WNT5A | ||||
ABCC6P2,ACSS2,CPA2,DDC,DHRS11,DUSP15,TMEM236, GLOD5,GOLGA6L6,GSS,MMEL1,SLC51B,PNLIPRP1,PNLIPRP2, PNPLA1,PXMP4,SEPHS2,SHOX,SLC13A2,SLC23A1,SLC3A1 | ALDOC,AQP3,CCDC108,CREB3L3,DNASE1,F11,GPR112, KCNH6,KCNJ3,MLXIPL,MUC17,NR0B2,PFKFB4,PLB1, PNLIP,PNLIPRP2,PRODH,REEP6,SI,VNN1,ZNF488 |
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 PNLIP |
Cross-referenced pharmacological DB IDs from Uniprot |
DB Category | DB Name | DB's ID and Url link |
Drug-Gene Interaction Network |
* Gene Centered Interaction Network. |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB01083 | pancreatic lipase | approved; investigational | Orlistat | ||
DB04233 | pancreatic lipase | experimental | (Hydroxyethyloxy)Tri(Ethyloxy)Octane | ||
DB08222 | pancreatic lipase | experimental | METHOXYUNDECYLPHOSPHINIC ACID |
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Cross referenced IDs for PNLIP |
* 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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