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Published on: April 26, 2017
Deciphering Cas9 specificity: Role of domain dynamics and RNA:DNA hybrid interactions revealed through machine
1Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.
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.
Insights
Francisella novicida Cas9 (FnCas9) exhibits higher specificity than SpCas9 due to domain rearrangements, not RNA:DNA shape. This discovery aids in designing more precise gene editing tools.
Area of Science:
- Molecular Biology
- Biochemistry
- Genomics
Background:
- CRISPR/Cas9 gene editing is crucial but limited by off-targeting concerns.
- Existing Cas9 variants with improved specificity often show reduced on-target cleavage efficiency.
Purpose of the Study:
- To compare the dynamics of Francisella novicida Cas9 (FnCas9) with standard SpCas9.
- To elucidate the structural determinants of FnCas9's enhanced specificity using advanced simulations and machine learning.
Main Methods:
- Long-scale atomistic Gaussian accelerated molecular dynamics simulations.
- Machine learning techniques to analyze structural dynamics and specificity.
- Comparative analysis of FnCas9 and SpCas9 in native and off-target states.
Main Results:
- FnCas9 specificity is primarily governed by domain rearrangement, not RNA:DNA heteroduplex shape.
- Off-target binding induces significant conformational changes in Cas9 domains, with minimal impact on the RNA:DNA hybrid, especially for FnCas9.
- REC1-REC3 domain interactions with the RNA:DNA hybrid are key discriminators of off-target effects in FnCas9.
- Allosteric signal transmission in FnCas9 involves REC3 and HNH domains, bypassing REC2, enhancing information transfer efficiency.
Conclusions:
- FnCas9 possesses superior specificity due to distinct domain dynamics and allosteric signaling pathways.
- Understanding these structural factors provides a quantitative framework for developing highly specific Cas9 variants.
- This research facilitates the rational design of next-generation genome editing tools with improved precision.
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