Author:
Guna Alina,Page Katharine R.,Replogle Joseph M.,Esantsi Theodore K.,Wang Maxine L.,Weissman Jonathan S.,Voorhees Rebecca M.
Abstract
AbstractMapping genetic interactions is essential for determining gene function and defining novel biological pathways. We report a simple to use CRISPR interference (CRISPRi) based platform, compatible with Fluorescence Activated Cell Sorting (FACS)-based reporter screens, to query epistatic relationships at scale. This is enabled by a flexible dual-sgRNA library design that allows for the simultaneous delivery and selection of a fixed sgRNA and a second randomized guide, comprised of a genome-wide library, with a single transduction. We use this approach to identify epistatic relationships for a defined biological pathway, showing both increased sensitivity and specificity than traditional growth screening approaches.
Funder
Rosen Family fellowship
Arie Jan Haagen-Smit Fellowship
NIH F31 Ruth L. Kirchstein National Research Service Award
Center for Genome Editing and Recording
Human Frontier Science Program
Howard Hughes Medical Institute
Heritage Medical Research Institute
NIH’s National Institute of General Medical Sciences
Publisher
Springer Science and Business Media LLC
Cited by
6 articles.
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