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Article: Quantifying Protein-Nucleic Acid Interactions for Engineering Useful CRISPR-Cas9 Genome-Editing Variants

TitleQuantifying Protein-Nucleic Acid Interactions for Engineering Useful CRISPR-Cas9 Genome-Editing Variants
Authors
KeywordsAlphaFold
CRISPR
Energy and contact changes
Protein structure modeling
Protein-nucleic acid interaction
Rosetta
SpCas9 optimization
Issue Date14-Nov-2024
PublisherHumana Press, Inc.
Citation
Methods in Molecular Biology, 2024, v. 2870, p. 227-243 How to Cite?
Abstract

Numerous high-specificity Cas9 variants have been engineered for precision genome editing. These variants typically harbor multiple mutations designed to alter the Cas9-single guide RNA (sgRNA)-DNA complex interactions for reduced off-target cleavage. By dissecting the contributions of individual mutations, we attempt to derive principles for designing high-specificity Cas9 variants. Here, we computationally modeled the specificity harnessing mutations of the widely used Cas9 isolated from Streptococcus pyogenes (SpCas9) and investigated their individual mutational effects. We quantified the mutational effects in terms of energy and contact changes by comparing the wild-type and mutant structures. We found that these mutations disrupt the protein-protein or protein-DNA contacts within the Cas9-sgRNA-DNA complex. We also identified additional impacted amino acid sites via energy changes that constitute the structural microenvironment encompassing the focal mutation, giving insights into how the mutations contribute to the high-specificity phenotype of SpCas9. Our method outlines a strategy to evaluate mutational effects that can facilitate rational design for Cas9 optimization.


Persistent Identifierhttp://hdl.handle.net/10722/353635
ISSN
2023 SCImago Journal Rankings: 0.399

 

DC FieldValueLanguage
dc.contributor.authorChu, Hoi Yee-
dc.contributor.authorPeng, Jiaxing-
dc.contributor.authorMou, Yuanbiao-
dc.contributor.authorWong, Alan S.L.-
dc.date.accessioned2025-01-22T00:35:23Z-
dc.date.available2025-01-22T00:35:23Z-
dc.date.issued2024-11-14-
dc.identifier.citationMethods in Molecular Biology, 2024, v. 2870, p. 227-243-
dc.identifier.issn1940-6029-
dc.identifier.urihttp://hdl.handle.net/10722/353635-
dc.description.abstract<p>Numerous high-specificity Cas9 variants have been engineered for precision genome editing. These variants typically harbor multiple mutations designed to alter the Cas9-single guide RNA (sgRNA)-DNA complex interactions for reduced off-target cleavage. By dissecting the contributions of individual mutations, we attempt to derive principles for designing high-specificity Cas9 variants. Here, we computationally modeled the specificity harnessing mutations of the widely used Cas9 isolated from Streptococcus pyogenes (SpCas9) and investigated their individual mutational effects. We quantified the mutational effects in terms of energy and contact changes by comparing the wild-type and mutant structures. We found that these mutations disrupt the protein-protein or protein-DNA contacts within the Cas9-sgRNA-DNA complex. We also identified additional impacted amino acid sites via energy changes that constitute the structural microenvironment encompassing the focal mutation, giving insights into how the mutations contribute to the high-specificity phenotype of SpCas9. Our method outlines a strategy to evaluate mutational effects that can facilitate rational design for Cas9 optimization.</p>-
dc.languageeng-
dc.publisherHumana Press, Inc.-
dc.relation.ispartofMethods in Molecular Biology-
dc.subjectAlphaFold-
dc.subjectCRISPR-
dc.subjectEnergy and contact changes-
dc.subjectProtein structure modeling-
dc.subjectProtein-nucleic acid interaction-
dc.subjectRosetta-
dc.subjectSpCas9 optimization-
dc.titleQuantifying Protein-Nucleic Acid Interactions for Engineering Useful CRISPR-Cas9 Genome-Editing Variants-
dc.typeArticle-
dc.identifier.doi10.1007/978-1-0716-4213-9_12-
dc.identifier.pmid39543038-
dc.identifier.scopuseid_2-s2.0-85209828888-
dc.identifier.volume2870-
dc.identifier.spage227-
dc.identifier.epage243-
dc.identifier.issnl1064-3745-

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