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Computational detection and suppression of sequence-specific off-target phenotypes from whole genome RNAi screens

DC Field Value Language
dc.contributor.author김현석-
dc.date.accessioned2015-01-06T17:17:40Z-
dc.date.available2015-01-06T17:17:40Z-
dc.date.issued2014-
dc.identifier.issn0305-1048-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/99706-
dc.description.abstractA challenge for large-scale siRNA loss-of-function studies is the biological pleiotropy resulting from multiple modes of action of siRNA reagents. A major confounding feature of these reagents is the microRNA-like translational quelling resulting from short regions of oligonucleotide complementarity to many different messenger RNAs. We developed a computational approach, deconvolution analysis of RNAi screening data, for automated quantitation of off-target effects in RNAi screening data sets. Substantial reduction of off-target rates was experimentally validated in five distinct biological screens across different genome-wide siRNA libraries. A public-access graphical-user-interface has been constructed to facilitate application of this algorithm.-
dc.description.statementOfResponsibilityopen-
dc.format.extent8214~8222-
dc.relation.isPartOfNUCLEIC ACIDS RESEARCH-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAlgorithms-
dc.subject.MESHBase Sequence-
dc.subject.MESHCell Line-
dc.subject.MESHGenomics/methods*-
dc.subject.MESHHumans-
dc.subject.MESHMicroRNAs/chemistry-
dc.subject.MESHRNA Interference*-
dc.subject.MESHRNA, Small Interfering/chemistry-
dc.titleComputational detection and suppression of sequence-specific off-target phenotypes from whole genome RNAi screens-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Life Science (의생명과학부)-
dc.contributor.googleauthorRui Zhong-
dc.contributor.googleauthorJimi Kim-
dc.contributor.googleauthorHyun Seok Kim-
dc.contributor.googleauthorMinsoo Kim-
dc.contributor.googleauthorLawrence Lum-
dc.contributor.googleauthorBeth Levine-
dc.contributor.googleauthorGuanghua Xiao-
dc.contributor.googleauthorMichael A. White-
dc.contributor.googleauthorYang Xie-
dc.identifier.doi10.1093/nar/gku306-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01111-
dc.relation.journalcodeJ02387-
dc.identifier.eissn1362-4962-
dc.identifier.pmid24972830-
dc.contributor.alternativeNameKim, Hyun Seok-
dc.contributor.affiliatedAuthorKim, Hyun Seok-
dc.citation.volume42-
dc.citation.number13-
dc.citation.startPage8214-
dc.citation.endPage8222-
dc.identifier.bibliographicCitationNUCLEIC ACIDS RESEARCH, Vol.42(13) : 8214-8222, 2014-
dc.identifier.rimsid57070-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers

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