2020
DOI: 10.1093/nar/gkaa294
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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,… Show more

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Cited by 46 publications
(54 citation statements)
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References 29 publications
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“…We then selected 3-4 sgRNAs per gene following rules designed to favor targets that are conserved across strains while minimizing off-target activity and avoiding toxic seed sequences 33 ( see Methods ). We also used a model of dCas9 on-target activity to select the most active guides 39 . Our library also includes guides targeting rRNAs, tRNAs and widespread ncRNAs.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We then selected 3-4 sgRNAs per gene following rules designed to favor targets that are conserved across strains while minimizing off-target activity and avoiding toxic seed sequences 33 ( see Methods ). We also used a model of dCas9 on-target activity to select the most active guides 39 . Our library also includes guides targeting rRNAs, tRNAs and widespread ncRNAs.…”
Section: Resultsmentioning
confidence: 99%
“…We used a recent model 39 which predicts the repression efficiency of sgRNAs based on fitness data obtained in a previous CRISPRi screen 33 . For each gene, the predicted sgRNA activity was normalized from 0 (highest activity) to 1 (lowest activity) and was then used as a 2 nd score.…”
Section: Methodsmentioning
confidence: 99%
“…Strain LC-E75 ( dolP + ) and its Δ dolP derivative were transformed with the EcoWG1 library which contains 5 guides per gene as previously described 39 . After culturing pooled transformant cells in LB at 37°C to early exponential phase (optical density at 600 nm [OD 600 ] = 0.2), a sample was withdrawn for plasmid isolation (t start ).…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, the ability of CRISPRi to incrementally decrease transcription of targeted genes was recognized as a novel approach to better understand the role of essential bacterial genes in cell structure and function. (129,179).…”
Section: Genetic Screensmentioning
confidence: 99%
“…Fortunately, more accurate predictions of the efficiency of guide RNA sequences for repression, with minimal off-targeting while avoiding bad seed sequences, can now be made for E. coli (180,182,195). For example, using machine learning to analyze genome-scale CRISPRi studies, the Bikard laboratory group has built a valuable on-line tool that allows the user to browse the targeting efficiency of the entire E. coli K-12 genome for individual guide RNAs, as well as provides an on-target activity prediction tool (https://crispr-browser.pasteur.cloud) (179).…”
Section: Guide Rna Designmentioning
confidence: 99%