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

Nucleic Acids Res. 2020 Jun 19;48(11):e64. doi: 10.1093/nar/gkaa294.

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 crispr.pasteur.fr and Addgene.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Sequence
  • CRISPR-Associated Protein 9 / metabolism*
  • CRISPR-Cas Systems / genetics*
  • DNA-Directed RNA Polymerases / antagonists & inhibitors
  • Datasets as Topic
  • Escherichia coli / genetics*
  • High-Throughput Screening Assays*
  • Linear Models
  • RNA, Guide, CRISPR-Cas Systems / genetics*
  • Reproducibility of Results

Substances

  • RNA, Guide, CRISPR-Cas Systems
  • DNA-Directed RNA Polymerases
  • CRISPR-Associated Protein 9