BROWSE

Related Scientist

cn's photo.

cn
나노의학연구단
more info

ITEM VIEW & DOWNLOAD

Massively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s

DC Field Value Language
dc.contributor.authorSang-Yeon Seo-
dc.contributor.authorSeonwoo Min-
dc.contributor.authorSungtae Lee-
dc.contributor.authorJung Hwa Seo-
dc.contributor.authorJinman Park-
dc.contributor.authorHui Kwon Kim-
dc.contributor.authorMyungjae Song-
dc.contributor.authorDawoon Baek-
dc.contributor.authorSung-Rae Cho-
dc.contributor.authorHyongbum Henry Kim-
dc.date.accessioned2023-08-08T22:01:21Z-
dc.date.available2023-08-08T22:01:21Z-
dc.date.created2023-05-30-
dc.date.issued2023-07-
dc.identifier.issn1548-7091-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/13720-
dc.description.abstractRecently, various small Cas9 orthologs and variants have been reported for use in in vivo delivery applications. Although small Cas9s are particularly suited for this purpose, selecting the most optimal small Cas9 for use at a specific target sequence continues to be challenging. Here, to this end, we have systematically compared the activities of 17 small Cas9s for thousands of target sequences. For each small Cas9, we have characterized the protospacer adjacent motif and determined optimal single guide RNA expression formats and scaffold sequence. High-throughput comparative analyses revealed distinct high- and low-activity groups of small Cas9s. We also developed DeepSmallCas9, a set of computational models predicting the activities of the small Cas9s at matched and mismatched target sequences. Together, this analysis and these computational models provide a useful guide for researchers to select the most suitable small Cas9 for specific applications. © 2023, The Author(s), under exclusive licence to Springer Nature America, Inc.-
dc.language영어-
dc.publisherNature Research-
dc.titleMassively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000987967400003-
dc.identifier.scopusid2-s2.0-85159359154-
dc.identifier.rimsid80871-
dc.contributor.affiliatedAuthorHui Kwon Kim-
dc.contributor.affiliatedAuthorHyongbum Henry Kim-
dc.identifier.doi10.1038/s41592-023-01875-2-
dc.identifier.bibliographicCitationNature Methods, v.20, no.7, pp.999 - 1009-
dc.relation.isPartOfNature Methods-
dc.citation.titleNature Methods-
dc.citation.volume20-
dc.citation.number7-
dc.citation.startPage999-
dc.citation.endPage1009-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.subject.keywordPlusSCALE CRISPR-CAS9 KNOCKOUT-
dc.subject.keywordPlusTARGETING RANGE-
dc.subject.keywordPlusGENOME-
dc.subject.keywordPlusCRISPR/CAS9-
dc.subject.keywordPlusNUCLEASES-
dc.subject.keywordPlusVARIANTS-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusDNA-
dc.subject.keywordPlusVERSATILE-
dc.subject.keywordPlusSYSTEMS-
Appears in Collections:
Center for Nanomedicine (나노의학 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
There are no files associated with this item.

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