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Sniper2L is a high-fidelity Cas9 variant with high activity

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dc.contributor.author김형범-
dc.date.accessioned2023-07-12T02:27:06Z-
dc.date.available2023-07-12T02:27:06Z-
dc.date.issued2023-03-
dc.identifier.issn1552-4450-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/195312-
dc.description.abstractAlthough several high-fidelity SpCas9 variants have been reported, it has been observed that this increased specificity is associated with reduced on-target activity, limiting the applications of the high-fidelity variants when efficient genome editing is required. Here, we developed an improved version of Sniper-Cas9, Sniper2L, which represents an exception to this trade-off trend as it showed higher specificity with retained high activity. We evaluated Sniper2L activities at a large number of target sequences and developed DeepSniper, a deep learning model that can predict the activity of Sniper2L. We also confirmed that Sniper2L can induce highly efficient and specific editing at a large number of target sequences when it is delivered as a ribonucleoprotein complex. Mechanically, the high specificity of Sniper2L originates from its superior ability to avoid unwinding a target DNA containing even a single mismatch. We envision that Sniper2L will be useful when efficient and specific genome editing is required.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherNature Pub. Group-
dc.relation.isPartOfNATURE CHEMICAL BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleSniper2L is a high-fidelity Cas9 variant with high activity-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pharmacology (약리학교실)-
dc.contributor.googleauthorYoung-Hoon Kim-
dc.contributor.googleauthorNahye Kim-
dc.contributor.googleauthorIkenna Okafor-
dc.contributor.googleauthorSungchul Choi-
dc.contributor.googleauthorSeonwoo Min-
dc.contributor.googleauthorJoonsun Lee-
dc.contributor.googleauthorSeung-Min Bae-
dc.contributor.googleauthorKeunwoo Choi-
dc.contributor.googleauthorJanice Choi-
dc.contributor.googleauthorVinayak Harihar-
dc.contributor.googleauthorYoungho Kim-
dc.contributor.googleauthorJin-Soo Kim-
dc.contributor.googleauthorBenjamin P Kleinstiver-
dc.contributor.googleauthorJungjoon K Lee-
dc.contributor.googleauthorTaekjip Ha-
dc.contributor.googleauthorHyongbum Henry Kim-
dc.identifier.doi10.1038/s41589-023-01279-5-
dc.contributor.localIdA01148-
dc.relation.journalcodeJ02292-
dc.identifier.eissn1552-4469-
dc.identifier.pmid36894722-
dc.identifier.urlhttps://www.nature.com/articles/s41589-023-01279-5-
dc.contributor.alternativeNameKim, Hyongbum-
dc.contributor.affiliatedAuthor김형범-
dc.citation.startPageepub-
dc.identifier.bibliographicCitationNATURE CHEMICAL BIOLOGY, : epub, 2023-03-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pharmacology (약리학교실) > 1. Journal Papers

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