|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GLS |
Basic gene info. | Gene symbol | GLS |
Gene name | glutaminase | |
Synonyms | AAD20|GAC|GAM|GLS1|KGA | |
Cytomap | UCSC genome browser: 2q32-q34 | |
Genomic location | chr2 :191745546-191800015 | |
Type of gene | protein-coding | |
RefGenes | NM_001256310.1, NM_014905.4, | |
Ensembl id | ENSG00000115419 | |
Description | K-glutaminaseL-glutamine amidohydrolaseglutaminase Cglutaminase kidney isoform, mitochondrialglutaminase, phosphate-activated | |
Modification date | 20141222 | |
dbXrefs | MIM : 138280 | |
HGNC : HGNC | ||
Ensembl : ENSG00000115419 | ||
HPRD : 00700 | ||
Vega : OTTHUMG00000132701 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_GLS | |
BioGPS: 2744 | ||
Gene Expression Atlas: ENSG00000115419 | ||
The Human Protein Atlas: ENSG00000115419 | ||
Pathway | NCI Pathway Interaction Database: GLS | |
KEGG: GLS | ||
REACTOME: GLS | ||
ConsensusPathDB | ||
Pathway Commons: GLS | ||
Metabolism | MetaCyc: GLS | |
HUMANCyc: GLS | ||
Regulation | Ensembl's Regulation: ENSG00000115419 | |
miRBase: chr2 :191,745,546-191,800,015 | ||
TargetScan: NM_001256310 | ||
cisRED: ENSG00000115419 | ||
Context | iHOP: GLS | |
cancer metabolism search in PubMed: GLS | ||
UCL Cancer Institute: GLS | ||
Assigned class in ccmGDB | A - This gene has a literature evidence and it belongs to cancer gene. | |
References showing role of GLS in cancer cell metabolism | 1. Tanaka K, Sasayama T, Irino Y, Takata K, Nagashima H, et al. (2015) Compensatory glutamine metabolism promotes glioblastoma resistance to mTOR inhibitor treatment. J Clin Invest 125: 1591-1602. doi: 10.1172/JCI78239. pmid: 4396477. go to article 2. Xiang Y, Stine ZE, Xia J, Lu Y, O'Connor RS, et al. (2015) Targeted inhibition of tumor-specific glutaminase diminishes cell-autonomous tumorigenesis. J Clin Invest 125: 2293-2306. doi: 10.1172/JCI75836. pmid: 4497742. go to article 3. Chen Z, Wang Y, Warden C, Chen S (2015) Cross-talk between ER and HER2 regulates c-MYC-mediated glutamine metabolism in aromatase inhibitor resistant breast cancer cells. J Steroid Biochem Mol Biol 149: 118-127. doi: 10.1016/j.jsbmb.2015.02.004. pmid: 4380584. go to article |
Top |
Phenotypic Information for GLS(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: GLS |
Familial Cancer Database: GLS |
* 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_ALANINE_ASPARTATE_AND_GLUTAMATE_METABOLISM KEGG_ARGININE_AND_PROLINE_METABOLISM KEGG_NITROGEN_METABOLISM REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: GLS |
MedGen: GLS (Human Medical Genetics with Condition) | |
ClinVar: GLS | |
Phenotype | MGI: GLS (International Mouse Phenotyping Consortium) |
PhenomicDB: GLS |
Mutations for GLS |
* 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 GLS 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 |
AI564468 | IGBP1 | 1 | 110 | X | 69386067 | 69386176 | GLS | 104 | 410 | 2 | 191785560 | 191788667 | |
DA218082 | CCDC132 | 1 | 389 | 7 | 92861689 | 92883244 | GLS | 390 | 546 | 2 | 191792032 | 191792188 | |
DA400572 | AHI1 | 1 | 92 | 6 | 135818721 | 135818812 | GLS | 93 | 547 | 2 | 191765290 | 191785771 | |
BI481206 | GLS | 13 | 158 | 2 | 191759896 | 191760395 | PEBP1 | 159 | 542 | 12 | 118582465 | 118582847 | |
DC316034 | IFT20 | 4 | 505 | 17 | 26658882 | 26662497 | GLS | 503 | 582 | 2 | 191827556 | 191827635 | |
BE179808 | TNRC18 | 10 | 261 | 7 | 5437354 | 5437606 | GLS | 257 | 426 | 2 | 191762157 | 191762328 | |
AW999094 | SLC39A8 | 159 | 547 | 4 | 103183326 | 103183713 | GLS | 532 | 628 | 2 | 191798856 | 191798952 |
Other DBs for Structural Variants |
Top |
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 |   |   |   |   |   |   |   |   | 2 |   | 1 |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   | 1 |   | 1 |   |   |   |   |   |   | |||
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) |
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=39) | (# total SNVs=16) |
(# total SNVs=1) | (# 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 |
chr2:191819482-191819482 | p.G597G | 2 |
chr2:191792056-191792056 | p.E425K | 2 |
chr2:191818309-191818309 | p.L557I | 2 |
chr2:191792122-191792122 | p.V447L | 2 |
chr2:191759947-191759947 | p.E152D | 2 |
chr2:191792124-191792124 | p.V447V | 2 |
chr2:191792131-191792131 | p.P450T | 2 |
chr2:191795282-191795282 | p.I515I | 2 |
chr2:191819355-191819355 | p.S586S | 2 |
chr2:191792187-191792187 | p.F468F | 2 |
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 | 2 | 1 | 1 | 2 | 2 |   | 1 |   | 5 | 1 |   | 7 | 5 | 1 |   |   | 2 | 7 |   | 9 |
# mutation | 2 | 1 | 1 | 2 | 2 |   | 1 |   | 5 | 1 |   | 7 | 5 | 1 |   |   | 2 | 8 |   | 10 |
nonsynonymous SNV | 1 |   |   | 2 | 1 |   | 1 |   | 5 | 1 |   | 6 | 4 | 1 |   |   | 2 | 7 |   | 7 |
synonymous SNV | 1 | 1 | 1 |   | 1 |   |   |   |   |   |   | 1 | 1 |   |   |   |   | 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]) |
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 |
chr2:191792056 | p.E425K,GLS | 2 |
chr2:191818309 | p.L557I | 2 |
chr2:191795258 | p.T170T,GLS | 1 |
chr2:191765337 | p.S458C,GLS | 1 |
chr2:191819482 | p.S586P | 1 |
chr2:191792047 | p.E177E,GLS | 1 |
chr2:191795262 | p.M465L,GLS | 1 |
chr2:191765382 | p.S586C | 1 |
chr2:191827564 | p.K218T,GLS | 1 |
chr2:191745874 | p.F468F,GLS | 1 |
Other DBs for Point Mutations |
Copy Number for GLS 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 GLS |
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 |
BSN,C2orf15,CA11,CACNA2D2,CFAP36,ENO2,FAM57B, FLJ35390,GLS2,HCN2,MADD,MAP3K12,MAPK8IP1,NEURL1, P4HTM,PDZD7,REEP2,RNF157,SPTBN4,STMN3,TMEM145 | ANO1,BBS1,MGME1,C20orf96,CDK20,CHDH,DDX31, GLS2,GRHL2,HKR1,KDM1A,LIMK2,LOC254559,LOC400752, MKS1,MORN4,OVOL2,RBM23,SALL2,SEMA4A,ZNF346 | ||||
AURKB,TEX40,FAM216A,C1QBP,EMX1,F12,GLS2, HSPA4L,HTRA2,KHK,KLHL35,NPM3,NT5M,PLD6, SLC43A1,SPR,TMEM180,TMEM64,WNT10B,WNT8B,ZNF232 | ARX,CA8,CELSR1,CFC1B,CHRM1,CYP2W1,CYP39A1, DSCAML1,FMOD,GLS2,GP2,KCNJ6,KLK15,LOC440925, MARCH4,NOL4,PPFIA2,SYBU,TUSC3,ZNF473,ZNF550 |
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 GLS |
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 |
DB00142 | glutaminase | approved; nutraceutical | L-Glutamic Acid | ||
DB00149 | glutaminase | approved; nutraceutical | L-Leucine | ||
DB00130 | glutaminase | approved; nutraceutical; investigational | L-Glutamine |
Top |
Cross referenced IDs for GLS |
* 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 @ |