BROWSE

Related Scientist

gel's photo.

gel
유전체교정연구단
more info

ITEM VIEW & DOWNLOAD

Digenome-seq: Genome-wide profiling of CRISPR-Cas9 off-target effects in human cellsHighly Cited Paper

DC Field Value Language
dc.contributor.authorDaesik Kim-
dc.contributor.authorSangsu Bae-
dc.contributor.authorJeongbin Park-
dc.contributor.authorEunji Kim-
dc.contributor.authorSeokjoong Kim-
dc.contributor.authorHye Ryeong Yu-
dc.contributor.authorJinha Hwang-
dc.contributor.authorJong-Il Kim-
dc.contributor.authorJin-Soo Kim-
dc.date.available2015-04-27T06:15:33Z-
dc.date.created2015-03-16-
dc.date.issued2015-03-
dc.identifier.issn1548-7091-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/1608-
dc.description.abstractAlthough RNA-guided genome editing via the CRISPR-Cas9 system is now widely used in biomedical research, genome-wide target specificities of Cas9 nucleases remain controversial. Here we present Digenome-seq, in vitro Cas9-digested whole-genome sequencing, to profile genome-wide Cas9 off-target effects in human cells. This in vitro digest yields sequence reads with the same 5â €2 ends at cleavage sites that can be computationally identified. We validated off-target sites at which insertions or deletions were induced with frequencies below 0.1%, near the detection limit of targeted deep sequencing. We also showed that Cas9 nucleases can be highly specific, inducing off-target mutations at merely several, rather than thousands of, sites in the entire genome and that Cas9 off-target effects can be avoided by replacing 'promiscuous' single guide RNAs (sgRNAs) with modified sgRNAs. Digenome-seq is a robust, sensitive, unbiased and cost-effective method for profiling genome-wide off-target effects of programmable nucleases including Cas9-
dc.description.uri1-
dc.language영어-
dc.publisherNATURE PUBLISHING GROUP-
dc.titleDigenome-seq: Genome-wide profiling of CRISPR-Cas9 off-target effects in human cells-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000350670300025-
dc.identifier.scopusid2-s2.0-84923846574-
dc.identifier.rimsid18451ko
dc.date.tcdate2018-10-01-
dc.contributor.affiliatedAuthorDaesik Kim-
dc.contributor.affiliatedAuthorSangsu Bae-
dc.contributor.affiliatedAuthorJin-Soo Kim-
dc.identifier.doi10.1038/nmeth.3284-
dc.identifier.bibliographicCitationNATURE METHODS, v.12, no.3, pp.237 - 243-
dc.citation.titleNATURE METHODS-
dc.citation.volume12-
dc.citation.number3-
dc.citation.startPage237-
dc.citation.endPage243-
dc.date.scptcdate2018-10-01-
dc.description.wostc269-
dc.description.scptc275-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Appears in Collections:
Center for Genome Engineering(유전체 교정 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
nmeth.3284.pdfDownload

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse