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On-target activity predictions enable improved CRISPR-dCas9 screens in bacteria

Abstract : The ability to block gene expression in bacteria with the catalytically inactive mutant of Cas9, known as dCas9, is quickly becoming a standard methodology to probe gene function, perform high-throughput screens, and engineer cells for desired purposes. Yet, we still lack a good understanding of the design rules that determine on-target activity for dCas9. Taking advantage of high-throughput screening data, we fit a model to predict the ability of dCas9 to block the RNA polymerase based on the target sequence, and validate its performance on independently generated datasets. We further design a novel genome wide guide RNA library for E. coli MG1655, EcoWG1, using our model to choose guides with high activity while avoiding guides which might be toxic or have off-target effects. A screen performed using the EcoWG1 library during growth in rich medium improved upon previously published screens, demonstrating that very good performances can be attained using only a small number of well designed guides. Being able to design effective, smaller libraries will help make CRISPRi screens even easier to perform and more cost-effective. Our model and materials are available to the community through and Addgene.
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Submitted on : Thursday, June 4, 2020 - 1:40:45 PM
Last modification on : Tuesday, April 12, 2022 - 4:28:03 PM
Long-term archiving on: : Thursday, December 3, 2020 - 12:53:40 PM


On-target activity predictions...
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Alicia Calvo-Villamañán, Jérôme Wong Ng, Rémi Planel, Hervé Ménager, Arthur Chen, et al.. On-target activity predictions enable improved CRISPR-dCas9 screens in bacteria. Nucleic Acids Research, Oxford University Press, 2020, ⟨10.1093/nar/gkaa294⟩. ⟨pasteur-02773823⟩



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