A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture

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Authors: Jasmin Coulombe‐Huntington, Thierry Bertomeu, Caroline Huard, Andrew Chatr‐aryamontri, Daniel J. St‐Cyr, María Sánchez‐Osuna, David J. Papadopoli, Karine Normandin, Mohammadjavad Paydar, Shannon McLaughlan, Corinne St‐Denis, Li Zhang
+30 more Henry Say, Roger Palou, Chris Stark, Bobby‐Joe Breitkreutz, Almer M. van der Sloot, Sandhya Manohar, Hugo Lavoie, Katherine L. B. Borden, Brian Raught, Damien D’Amours, Frank Sicheri, Alain Verreault, Sylvie Mader, Sylvain Meloche, Marc Therrien, Pierre Thibault, Brian T. Wilhelm, Peter B. Dirks, John D. Aitchison, E. Elizabeth Patton, Randall W. King, Philippe P. Roux, Guy Sauvageau, T Hoang, Anne Marinier, Lea A. Harrington, Benjamin H. B. Kwok, Vincent Archambault, Ivan Topisirović, Mike Tyers
Cited by: 0
References: 181

Abstract

To probe drug mechanism of action (MOA) and interrogate the genetic architecture of human cells, we carried out isogenic genome-wide CRISPR/Cas9 knockout screens against 310 diverse drugs, bioactive compounds, and stress conditions. Stringent statistical correction for gene knockout fitness defects yielded a large-scale matrix of >12,000 high confidence chemical-genetic interactions (CGIs). This dataset revealed many previously unappreciated off-target effects for well-characterized compounds and novel MOAs for uncharacterized compounds. The CGI matrix uncovered dense genetic modules that yielded new biological insights into phospholipidosis, mitotic regulation, metabolism, the DNA damage response, and mTOR signaling. The dataset allowed identification of multi-drug sensitization and resistance mechanisms, inference of gene function, elaboration of cross-process connectivity, evaluation of the cell type specificity of CGIs, prediction of chemical synergism, and extensive annotation of understudied genes. This resource provides a map of the genetic landscape in human cells and a framework to help guide drug discovery.

Fields of Study & Subjects

CRISPR and Genetic Engineering Computational Drug Discovery Methods Chromatin Remodeling and Cancer

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
29 January 2026
Language
EN
Document type
Preprint