Deciphering Cas9 specificity: Role of domain dynamics and RNA:DNA hybrid interactions revealed through machine learning and accelerated molecular simulations

CRISPR/Cas9 technology is widely used for gene editing, but off-targeting still remains a major concern in therapeutic applications. Although Cas9 variants with better mismatch discrimination have been developed, they have significantly lower rates of on-target DNA cleavage. This study compares the dynamics of the highly specific Cas9 from Francisella novicida (FnCas9) to the commonly used SpCas9. Using long-scale atomistic Gaussian accelerated molecular dynamic simulations and machine learning techniques, we deciphered the structural factors behind FnCas9's higher specificity in native and off-target forms. Our analysis revealed that Cas9's cleavage specificity relies more on its domain rearrangement than on RNA:DNA heteroduplex shape, with significant conformational variations in Cas9 domains among off-target forms, while the RNA:DNA hybrid showed minimal changes, especially in FnCas9 compared to SpCas9. REC1-REC3 domains contacts with the RNA:DNA hybrid in FnCas9 acted as critical discriminator of off-target effects playing a pivotal role in influencing specificity. In FnCas9, allosteric signal transmission involves the REC3 and HNH domain, bypassing REC2, leading to a superior efficiency in information transmission. This study offers a quantitative framework for understanding the structural basis of elevated specificity, paving the way for the rational design of Cas9 variants with improved precision and specificity in genome editing applications.

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Publication Details

Journal
International Journal of Biological Macromolecules
Published
2024-11-19
DOI
https://doi.org/10.1016/j.ijbiomac.2024.137835
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.47
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article

Deciphering Cas9 specificity: Role of domain dynamics and RNA:DNA hybrid interactions revealed through machine learning and accelerated molecular simulations

Arjun Ray, Gayatri Panda
2 citations
International Journal of Biological Macromolecules
CRISPR and Genetic Engineering
0.47
article

Deciphering Cas9 specificity: Role of domain dynamics and RNA:DNA hybrid interactions revealed through machine learning and accelerated molecular simulations

Arjun Ray, Gayatri Panda
article en
2 citations

Abstract

CRISPR/Cas9 technology is widely used for gene editing, but off-targeting still remains a major concern in therapeutic applications. Although Cas9 variants with better mismatch discrimination have been developed, they have significantly lower rates of on-target DNA cleavage. This study compares the dynamics of the highly specific Cas9 from Francisella novicida (FnCas9) to the commonly used SpCas9. Using long-scale atomistic Gaussian accelerated molecular dynamic simulations and machine learning techniques, we deciphered the structural factors behind FnCas9's higher specificity in native and off-target forms. Our analysis revealed that Cas9's cleavage specificity relies more on its domain rearrangement than on RNA:DNA heteroduplex shape, with significant conformational variations in Cas9 domains among off-target forms, while the RNA:DNA hybrid showed minimal changes, especially in FnCas9 compared to SpCas9. REC1-REC3 domains contacts with the RNA:DNA hybrid in FnCas9 acted as critical discriminator of off-target effects playing a pivotal role in influencing specificity. In FnCas9, allosteric signal transmission involves the REC3 and HNH domain, bypassing REC2, leading to a superior efficiency in information transmission. This study offers a quantitative framework for understanding the structural basis of elevated specificity, paving the way for the rational design of Cas9 variants with improved precision and specificity in genome editing applications.

International Journal of Biological MacromoleculesVol. 283(Pt 4)
Indraprastha Institute of Information Technology Delhi (IN)
Openalex Percentile: Top 34%
CRISPR and Genetic Engineering
0.47
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