Visualisation of dCas9 target search in vivo using an open-microscopy framework
Koen J A Martens1,2, Sam P B van Beljouw1, Simon van der Els3,4
1Laboratory of Biophysics, Wageningen University and Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Nature Communications
|August 9, 2019
Summary
CRISPR-Cas9 kinetics were quantified using a novel microscopy framework. This study reveals dCas9 screens protospacer adjacent motifs (PAMs) frequently, aiding CRISPR toolbox optimization.
Area of Science:
- Molecular Biology
- Genetics
- Biophysics
Background:
- CRISPR-Cas9 is a powerful genomic editing tool, but its target search kinetics and dependence on Cas9 concentration are not fully understood.
- Efficient CRISPR function relies on rapid screening of protospacer adjacent motifs (PAMs), with recent studies suggesting a 30 ms upper limit for this process.
Purpose of the Study:
- To quantitatively analyze the dynamic behavior of deactivated Cas9 (dCas9) between DNA-bound and freely-diffusing states.
- To determine the PAM screening frequency and binding event duration for dCas9 in a cellular context.
- To investigate the relationship between Cas9 expression levels, target DNA copy number, and cleavage efficiency.
Main Methods:
- Development of an open-microscopy framework called miCube.
- Application of Monte-Carlo diffusion distribution analysis (MC-DDA) to quantify dCas9 dynamics.
- Utilizing heterogeneous dCas9 expression to study copy number-dependent Cas9 cleavage.
Main Results:
- dCas9 spends 40% of its time screening PAMs in Lactococcus lactis, with an average binding event duration of 17 ± 4 ms.
- The study derived Cas9 cleavage rates based on cellular target-containing plasmid copy numbers.
- It was demonstrated that dCas9 does not bind irreversibly to target sites and can impede plasmid replication.
Conclusions:
- The quantitative insights into dCas9 kinetics provide a deeper understanding of CRISPR-Cas system efficiency.
- These findings are crucial for optimizing the design and application of CRISPR-based genome editing tools.
- The developed miCube framework and MC-DDA offer valuable methods for studying molecular interactions in vivo.
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