Abstract
The discovery and implementation of CRISPR/Cas9 tools in pooled genetic screens have allowed for the rapid, high-fidelity identification of host-virus interactions. However, pooled CRISPR screening has significant limitations in its ability both to perform cell biology and plate reader-based screens and to find alleles that result in intermediate-strength phenotypes. Here we introduce an arrayed CRISPR screening method, FACS-IT, which allows researchers to use high content imaging analysis, plate reader assays, cell supernatant characterization, and percent infectivity to characterize CRISPR-mediated gene disruptions causing both moderate and extreme phenotypic changes. By using flow sorting capabilities and CRISPR libraries that are widely available, FACS-IT overcomes both the significant limitation of pooled screening approaches and the prohibitive costs of large-scale arrayed CRISPR reagents. In doing so, FACS-IT will enable researchers to creatively use CRISPR screening to obtain a deeper understanding of biology across a wide range of fields and applications.
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Acknowledgments
This work was supported by an Investigators in the Pathogenesis of Infectious Disease grant from the Burroughs Wellcome Fund to A.L.B.
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McDougall, W.M., Kandpal, M., Perreira, J.M., Brass, A.L. (2020). Discovery of Zika Virus Dependency and Restriction Factors Using Flow-Based Arrayed CRISPR Screening for Identification of Targets (FACS-IT). In: Kobinger, G., Racine, T. (eds) Zika Virus. Methods in Molecular Biology, vol 2142. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0581-3_17
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DOI: https://doi.org/10.1007/978-1-0716-0581-3_17
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