REAL

A cleavage rule for selection of increased-fidelity SpCas9 variants with high efficiency and no detectable off-targets

Kulcsár, Péter István and Tálas, András and Ligeti, Zoltán and Tóth, Eszter and Rakvács, Zsófia and Bartos, Zsuzsa and Krausz, Sarah Laura and Welker, Ágnes and Végi, Vanessza Laura and Huszár, Krisztina and Welker, Ervin (2023) A cleavage rule for selection of increased-fidelity SpCas9 variants with high efficiency and no detectable off-targets. NATURE COMMUNICATIONS, 14 (1). No.-5746. ISSN 2041-1723

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Abstract

Streptococcus pyogenes Cas9 (SpCas9) has been employed as a genome engineering tool with a promising potential within therapeutics. However, its off-target effects present major safety concerns for applications requiring high specificity. Approaches developed to date to mitigate this effect, including any of the increased-fidelity (i.e., high-fidelity) SpCas9 variants, only provide efficient editing on a relatively small fraction of targets without detectable off-targets. Upon addressing this problem, we reveal a rather unexpected cleavability ranking of target sequences, and a cleavage rule that governs the on-target and off-target cleavage of increased-fidelity SpCas9 variants but not that of SpCas9-NG or xCas9. According to this rule, for each target, an optimal variant with matching fidelity must be identified for efficient cleavage without detectable off-target effects. Based on this insight, we develop here an extended set of variants, the CRISPRecise set, with increased fidelity spanning across a wide range, with differences in fidelity small enough to comprise an optimal variant for each target, regardless of its cleavability ranking. We demonstrate efficient editing with maximum specificity even on those targets that have not been possible in previous studies.

Item Type: Article
Additional Information: Funding Agency and Grant Number: Hungarian Scientific Research Fund (OTKA) [K128188, K134968, K142322, PD134858]; National Research, Development and Innovation Office [20181.1.1-MKI-2018-00167, UNKP-20-5-SE-20]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences [BO/764/20]; Higher Education Institutional Excellence Program of the Semmelweis University [EFOP-3.6.3-VEKOP-162017-00009]
Uncontrolled Keywords: genetics; engineering; streptococcus pyogenes;
Subjects: Q Science / természettudomány > QH Natural history / természetrajz > QH426 Genetics / genetika, örökléstan
T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 13 Mar 2024 13:55
Last Modified: 13 Mar 2024 13:55
URI: https://real.mtak.hu/id/eprint/190274

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