Molecular Systems BiologySystems BiologyPeer-reviewed journal article
Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens
Emanuel GonçalvesiD, Aldo Segura‐CabreraiD, Clare PaciniiD, Gabriele PiccoiD, Fiona M. BehaniD, Patricia JaaksiD, Elizabeth A. CokeriD, Donny van der Meer, Andrew S. Barthorpe, Howard W. LightfootiD, Tatiana MironenkoiD, Alexandra BeckiD, Laura RichardsoniD, Wanjuan YangiD, Ermira Lleshi, James A.M. HalliD, Charlotte TolleyiD, Caitlin HalliD, Iman D. MaliiD, Frances ThomasiD, James Morris, Andrew R. LeachiD, James T. LynchiD, Ben S. SiddersiD, Claire CrafteriD, , Mathew J. GarnettiD
Abstract
Low success rates during drug development are due in part to the difficulty of defining drug mechanism-of-action and molecular markers of therapeutic activity. Here, we integrated 199,219 drug sensitivity measurements for 397 unique anti-cancer drugs and genome-wide CRISPR loss-of-function screens in 484 cell lines to systematically investigate in cellular drug mechanism-of-action. We observed an enrichment for positive associations between drug sensitivity and knockout of their nominal targets, and by leveraging protein-protein networks we identified pathways that mediate drug response. This revealed an unappreciated role of mitochondrial E3 ubiquitin-protein ligase MARCH5 in sensitivity to MCL1 inhibitors. We also estimated drug on-target and off-target activity, informing on specificity, potency and toxicity. Linking drug and gene dependency together with genomic datasets uncovered contexts in which molecular networks when perturbed mediate cancer cell loss-of-fitness, and thereby provide independent and orthogonal evidence of biomarkers for drug development. This study illustrates how integrating cell line drug sensitivity with CRISPR loss-of-function screens can elucidate mechanism-of-action to advance drug development.
- organism: human
- assay: CRISPR screen
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 101
- FWCI
- 7.19
- Field percentile
- top 2%
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