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Cancer association study of aminoacyl-tRNA synthetase signaling network in glioblastoma

DC Field Value Language
dc.contributor.author김세훈-
dc.date.accessioned2014-12-19T17:35:59Z-
dc.date.available2014-12-19T17:35:59Z-
dc.date.issued2012-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/91713-
dc.description.abstractAminoacyl-tRNA synthetases (ARSs) and ARS-interacting multifunctional proteins (AIMPs) exhibit remarkable functional versatility beyond their catalytic activities in protein synthesis. Their non-canonical functions have been pathologically linked to cancers. Here we described our integrative genome-wide analysis of ARSs to show cancer-associated activities in glioblastoma multiforme (GBM), the most aggressive malignant primary brain tumor. We first selected 23 ARS/AIMPs (together referred to as ARSN), 124 cancer-associated druggable target genes (DTGs) and 404 protein-protein interactors (PPIs) of ARSs using NCI's cancer gene index. 254 GBM affymetrix microarray data in The Cancer Genome Atlas (TCGA) were used to identify the probe sets whose expression were most strongly correlated with survival (Kaplan-Meier plots versus survival times, log-rank t-test <0.05). The analysis identified 122 probe sets as survival signatures, including 5 of ARSN (VARS, QARS, CARS, NARS, FARS), and 115 of DTGs and PPIs (PARD3, RXRB, ATP5C1, HSP90AA1, CD44, THRA, TRAF2, KRT10, MED12, etc). Of note, 61 survival-related probes were differentially expressed in three different prognosis subgroups in GBM patients and showed correlation with established prognosis markers such as age and phenotypic molecular signatures. CARS and FARS also showed significantly higher association with different molecular networks in GBM patients. Taken together, our findings demonstrate evidence for an ARSN biology-dominant contribution in the biology of GBM.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAmino Acyl-tRNA Synthetases/metabolism*-
dc.subject.MESHBrain Neoplasms/enzymology*-
dc.subject.MESHBrain Neoplasms/metabolism-
dc.subject.MESHCell Line, Tumor-
dc.subject.MESHCluster Analysis-
dc.subject.MESHGene Expression Profiling-
dc.subject.MESHGene Expression Regulation, Neoplastic*-
dc.subject.MESHGenome, Human-
dc.subject.MESHGlioblastoma/enzymology*-
dc.subject.MESHGlioblastoma/metabolism-
dc.subject.MESHHumans-
dc.subject.MESHNeoplasms/enzymology*-
dc.subject.MESHNeoplasms/metabolism-
dc.subject.MESHOligonucleotide Array Sequence Analysis-
dc.subject.MESHPhenotype-
dc.subject.MESHPrognosis-
dc.subject.MESHProtein Interaction Mapping-
dc.subject.MESHSignal Transduction-
dc.subject.MESHTwo-Hybrid System Techniques-
dc.titleCancer association study of aminoacyl-tRNA synthetase signaling network in glioblastoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorYong-Wan Kim-
dc.contributor.googleauthorChangHyuk Kwon-
dc.contributor.googleauthorJuinn-Lin Liu-
dc.contributor.googleauthorSe Hoon Kim-
dc.contributor.googleauthorSunghoon Kim-
dc.identifier.doi22952576-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00610-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid22952576-
dc.subject.keywordAmino Acyl-tRNA Synthetases/metabolism*-
dc.subject.keywordBrain Neoplasms/enzymology*-
dc.subject.keywordBrain Neoplasms/metabolism-
dc.subject.keywordCell Line, Tumor-
dc.subject.keywordCluster Analysis-
dc.subject.keywordGene Expression Profiling-
dc.subject.keywordGene Expression Regulation, Neoplastic*-
dc.subject.keywordGenome, Human-
dc.subject.keywordGlioblastoma/enzymology*-
dc.subject.keywordGlioblastoma/metabolism-
dc.subject.keywordHumans-
dc.subject.keywordNeoplasms/enzymology*-
dc.subject.keywordNeoplasms/metabolism-
dc.subject.keywordOligonucleotide Array Sequence Analysis-
dc.subject.keywordPhenotype-
dc.subject.keywordPrognosis-
dc.subject.keywordProtein Interaction Mapping-
dc.subject.keywordSignal Transduction-
dc.subject.keywordTwo-Hybrid System Techniques-
dc.contributor.alternativeNameKim, Se Hoon-
dc.contributor.affiliatedAuthorKim, Se Hoon-
dc.citation.volume7-
dc.citation.number8-
dc.citation.startPagee40960-
dc.identifier.bibliographicCitationPLOS ONE, Vol.7(8) : e40960, 2012-
dc.identifier.rimsid29572-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers

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