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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GPR119 |
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Phenotypic Information for GPR119(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: GPR119 |
Familial Cancer Database: GPR119 |
* 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 | |
REACTOME_INTEGRATION_OF_ENERGY_METABOLISM |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: GPR119 |
MedGen: GPR119 (Human Medical Genetics with Condition) | |
ClinVar: GPR119 | |
Phenotype | MGI: GPR119 (International Mouse Phenotyping Consortium) |
PhenomicDB: GPR119 |
Mutations for GPR119 |
* 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 GPR119 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 |
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=29) | (# 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 |
chr23:129518824-129518824 | p.R200* | 3 |
chr23:129519055-129519055 | p.G123R | 2 |
chr23:129518863-129518863 | p.D187N | 2 |
chr23:129518476-129518476 | p.E316K | 1 |
chr23:129519165-129519165 | p.T86N | 1 |
chr23:129518748-129518748 | p.R225H | 1 |
chr23:129518908-129518908 | p.V172I | 1 |
chr23:129518496-129518496 | p.S309* | 1 |
chr23:129519241-129519241 | p.L61I | 1 |
chr23:129518781-129518781 | p.S214F | 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 | 2 | 1 | 1 | 5 |   |   | 3 |   |   |   |   | 2 |   | 2 |   | 1 | 5 | 2 | 1 | 4 |
# mutation | 2 | 1 | 1 | 5 |   |   | 3 |   |   |   |   | 2 |   | 2 |   | 1 | 5 | 2 | 1 | 4 |
nonsynonymous SNV | 2 |   |   | 4 |   |   | 2 |   |   |   |   | 2 |   | 2 |   | 1 | 4 | 2 | 1 | 2 |
synonymous SNV |   | 1 | 1 | 1 |   |   | 1 |   |   |   |   |   |   |   |   |   | 1 |   |   | 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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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 |
chrX:129518529 | p.V269M | 1 |
chrX:129518882 | p.I99L | 1 |
chrX:129519283 | p.R262G | 1 |
chrX:129518542 | p.V85V | 1 |
chrX:129518896 | p.C254C | 1 |
chrX:129519301 | p.L61I | 1 |
chrX:129518602 | p.T226T | 1 |
chrX:129518919 | p.L47L | 1 |
chrX:129519381 | p.L41I | 1 |
chrX:129518617 | p.R225H | 1 |
Other DBs for Point Mutations |
Copy Number for GPR119 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 GPR119 |
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 |
LINC00293,FAM47B,GPR119,LOC100287704,MUC17,NEUROD6,OR10K2, OR14J1,OR4C16,OR4K14,OR51F2,OR52A4,OR52R1,OR5D13, OR6C68,OR6N2,OR8J3,PAX4,POM121L12,REG1P,TRIM77 | NCOR1P1,CASP14,CDH2,EDN1,EMR3,FCGR3B,GABRQ, GDAP1L1,GPR119,GPR128,IFNA7,IL13RA2,IL22RA2,OR11H12, OR4C16,OR6C70,PATE1,SNORA55,SORCS3,SYT13,ZNF560 |
ASUN,C12orf71,EGFEM1P,CALY,CHGA,DLK1,FGFR1OP2, GPR112,GPR119,GRK1,GSG1,KLHL42,KRAS,LYRM5, MED21,NKX2-2,NR5A1,PCDHB1,PROL1,SCGN,STAR | ARX,AVPR1B,CFC1B,COL2A1,CPB1,GPR119,HOXD12, INSL5,INSM1,ISL1,KRTAP3-3,LMX1A,MARCH4,NEUROD1, NKX2-2,PF4V1,PYY,RFX6,SLC38A11,SST,TPH1 |
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 GPR119 |
There's no related Drug. |
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Cross referenced IDs for GPR119 |
* 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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