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Extru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches

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dc.contributor.authorKwon, Jeonghun-
dc.contributor.authorKim, Minyoung-
dc.contributor.authorHwang, Woochang-
dc.contributor.authorJo, Anna-
dc.contributor.authorHwang, Gue-Ho-
dc.contributor.authorJung, Minhee-
dc.contributor.authorKim, Un Gi-
dc.contributor.authorCui, Gang-
dc.contributor.authorKim, Heonseok-
dc.contributor.authorEom, Joon-Ho-
dc.contributor.authorHur, Junho K.-
dc.contributor.authorLee, Junwon-
dc.contributor.authorKim, Youngho-
dc.contributor.authorKim, Jin-soo-
dc.contributor.authorBae, Sangsu-
dc.contributor.authorLee, Jungjoon K.-
dc.date.accessioned2023-02-21T05:33:02Z-
dc.date.available2023-02-21T05:33:02Z-
dc.date.created2023-02-08-
dc.date.issued2023-01-
dc.identifier.issn1474-760X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182356-
dc.description.abstractWe present a novel genome-wide off-target prediction method named Extru-seq and compare it with cell-based (GUIDE-seq), in vitro (Digenome-seq), and in silico methods using promiscuous guide RNAs with large numbers of valid off-target sites. Extru-seq demonstrates a high validation rate and retention of information about the intracellular environment, both beneficial characteristics of cell-based methods. Extru-seq also shows a low miss rate and could easily be performed in clinically relevant cell types with little optimization, which are major positive features of the in vitro methods. In summary, Extru-seq shows beneficial features of cell-based and in vitro methods.-
dc.language영어-
dc.language.isoen-
dc.publisherBMC-
dc.titleExtru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches-
dc.typeArticle-
dc.contributor.affiliatedAuthorHwang, Woochang-
dc.contributor.affiliatedAuthorHur, Junho K.-
dc.identifier.doi10.1186/s13059-022-02842-4-
dc.identifier.scopusid2-s2.0-85146106669-
dc.identifier.wosid000911951200001-
dc.identifier.bibliographicCitationGENOME BIOLOGY, v.24, no.1, pp.1 - 20-
dc.relation.isPartOfGENOME BIOLOGY-
dc.citation.titleGENOME BIOLOGY-
dc.citation.volume24-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage20-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaGenetics & Heredity-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryGenetics & Heredity-
dc.subject.keywordPlusUNBIASED DETECTION-
dc.subject.keywordPlusWEB TOOL-
dc.subject.keywordPlusCRISPR-CAS9-
dc.subject.keywordPlusREARRANGEMENTS-
dc.subject.keywordPlusINTEGRATION-
dc.subject.keywordPlusEFFICIENCY-
dc.subject.keywordPlusCLEAVAGE-
dc.subject.keywordAuthorCRISPR-
dc.subject.keywordAuthorGenome-wide-
dc.subject.keywordAuthorOff-target-
dc.subject.keywordAuthorCell-based-
dc.subject.keywordAuthorIn vitro-
dc.identifier.urlhttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02842-4-
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