|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GRP |
Basic gene info. | Gene symbol | GRP |
Gene name | gastrin-releasing peptide | |
Synonyms | BN|GRP-10|preproGRP|proGRP | |
Cytomap | UCSC genome browser: 18q21.1-q21.32 | |
Genomic location | chr18 :56887399-56898002 | |
Type of gene | protein-coding | |
RefGenes | NM_001012512.1, NM_001012513.1,NM_002091.3, | |
Ensembl id | ENSG00000134443 | |
Description | bombesinneuromedin Cpre-progastrin releasing peptideprepro-GRP | |
Modification date | 20141222 | |
dbXrefs | MIM : 137260 | |
HGNC : HGNC | ||
Ensembl : ENSG00000134443 | ||
HPRD : 08845 | ||
Vega : OTTHUMG00000132760 | ||
Protein | UniProt: P07492 go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_GRP | |
BioGPS: 2922 | ||
Gene Expression Atlas: ENSG00000134443 | ||
The Human Protein Atlas: ENSG00000134443 | ||
Pathway | NCI Pathway Interaction Database: GRP | |
KEGG: GRP | ||
REACTOME: GRP | ||
ConsensusPathDB | ||
Pathway Commons: GRP | ||
Metabolism | MetaCyc: GRP | |
HUMANCyc: GRP | ||
Regulation | Ensembl's Regulation: ENSG00000134443 | |
miRBase: chr18 :56,887,399-56,898,002 | ||
TargetScan: NM_001012512 | ||
cisRED: ENSG00000134443 | ||
Context | iHOP: GRP | |
cancer metabolism search in PubMed: GRP | ||
UCL Cancer Institute: GRP | ||
Assigned class in ccmGDB | A - This gene has a literature evidence and it belongs to cancer gene. | |
References showing role of GRP in cancer cell metabolism | 1. Rellinger EJ, Romain C, Choi S, Qiao J, Chung DH (2015) Silencing gastrin-releasing peptide receptor suppresses key regulators of aerobic glycolysis in neuroblastoma cells. Pediatr Blood Cancer 62: 581-586. doi: 10.1002/pbc.25348. pmid: 4339541. go to article |
Top |
Phenotypic Information for GRP(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: GRP |
Familial Cancer Database: GRP |
* 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 | 137260; gene. |
Orphanet | |
Disease | KEGG Disease: GRP |
MedGen: GRP (Human Medical Genetics with Condition) | |
ClinVar: GRP | |
Phenotype | MGI: GRP (International Mouse Phenotyping Consortium) |
PhenomicDB: GRP |
Mutations for GRP |
* 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 GRP 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 |
Top |
Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
Top |
SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
|
Top |
Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=25) | (# total SNVs=3) |
(# total SNVs=6) | (# total SNVs=0) |
Top |
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 |
chr18:56887507-56887507 | p.R4S | 13 |
chr18:56897675-56897678 | p.R141fs*4 | 6 |
chr18:56892747-56892747 | p.T55A | 1 |
chr18:56892894-56892894 | p.L104M | 1 |
chr18:56892772-56892772 | p.E63A | 1 |
chr18:56892898-56892898 | p.G105D | 1 |
chr18:56892801-56892801 | p.E73* | 1 |
chr18:56892918-56892918 | p.D112N | 1 |
chr18:56892812-56892812 | p.R76S | 1 |
chr18:56892922-56892922 | p.S113* | 1 |
Top |
SNV Counts per Each Loci in TCGA data |
|
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 |   | 1 |   | 4 |   |   | 1 |   |   |   |   | 1 |   |   |   |   | 2 | 2 |   |   |
# mutation |   | 1 |   | 4 |   |   | 1 |   |   |   |   | 1 |   |   |   |   | 2 | 2 |   |   |
nonsynonymous SNV |   | 1 |   | 3 |   |   | 1 |   |   |   |   | 1 |   |   |   |   | 2 | 2 |   |   |
synonymous SNV |   |   |   | 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]) |
Top |
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 |
chr18:56892885 | p.D112N,GRP | 1 |
chr18:56892886 | p.G126D,GRP | 1 |
chr18:56892918 | p.S125C | 1 |
chr18:56892961 | p.N139K,GRP | 1 |
chr18:56897646 | p.L49V,GRP | 1 |
chr18:56897691 | p.T55A,GRP | 1 |
chr18:56892729 | p.E63A,GRP | 1 |
chr18:56892747 | p.R82R,GRP | 1 |
chr18:56892772 | p.L87F,GRP | 1 |
chr18:56892828 | p.P101T,GRP | 1 |
Other DBs for Point Mutations |
Copy Number for GRP 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] |
Top |
Gene Expression for GRP |
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)) |
Top |
CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
Top |
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 |
ANKHD1,SPDL1,CDC23,ETF1,G3BP1,GRPEL2,HMMR, HSPA9,LARP1,LARS,NPM1,RARS,RBM22,RBM27, SRSF10,SRSF1,SMAD5,TCERG1,UBE2D2,ZFP62,ZNF354A | C14orf28,C3orf38,C6orf62,RBM48,CCDC117,CGGBP1,GRPEL2, MSANTD4,NANP,NSL1,RNF219,SREK1IP1,TAF9B,TBL1XR1, THAP1,TRIM13,ZBTB34,ZBTB6,ZBTB14,ZNF566,ZNF684 |
PARPBP,CCDC59,CCNB1,CCNH,CCT2,CDK1,CENPK, GRPEL2,HINT1,MAD2L1,MRPL22,MRPL42,MRPS27,NPM1, PPP2CA,RIOK2,SREK1IP1,TAF9,TBCA,UBE2N,ZCCHC9 | ARL5A,ATG3,BET1,BUD13,CBX3,PBDC1,ENOPH1, FOXN2,GLO1,GRPEL2,LSM6,OSTC,PEX3,TRMT10A, RIOK2,SEC22B,SMS,SVIP,UCHL5,ZC3H15,ZCCHC9 |
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 |
Top |
Interacting Genes (from Pathway Commons) |
Top |
Pharmacological Information for GRP |
There's no related Drug. |
Top |
Cross referenced IDs for GRP |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @ |