Target identification of small molecules using large-scale CRISPR-Cas mutagenesis scanning of essential genes

Unraveling the mechanism of action and molecular target of small molecules remains a major challenge in drug discovery. While many cancer drugs target genetic vulnerabilities, loss-of-function screens fail to identify essential genes in drug mechanism of action. Here, we report CRISPRres, a CRISPR-C...

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Veröffentlicht in:Nature communications 2018-02, Vol.9 (1), p.502-14, Article 502
Hauptverfasser: Neggers, Jasper Edgar, Kwanten, Bert, Dierckx, Tim, Noguchi, Hiroki, Voet, Arnout, Bral, Lotte, Minner, Kristien, Massant, Bob, Kint, Nicolas, Delforge, Michel, Vercruysse, Thomas, Baloglu, Erkan, Senapedis, William, Jacquemyn, Maarten, Daelemans, Dirk
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Sprache:eng
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Zusammenfassung:Unraveling the mechanism of action and molecular target of small molecules remains a major challenge in drug discovery. While many cancer drugs target genetic vulnerabilities, loss-of-function screens fail to identify essential genes in drug mechanism of action. Here, we report CRISPRres, a CRISPR-Cas-based genetic screening approach to rapidly derive and identify drug resistance mutations in essential genes. It exploits the local genetic variation created by CRISPR-Cas-induced non-homologous end-joining (NHEJ) repair to generate a wide variety of functional in-frame mutations. Using large sgRNA tiling libraries and known drug–target pairs, we validate it as a target identification approach. We apply CRISPRres to the anticancer agent KPT-9274 and identify nicotinamide phosphoribosyltransferase (NAMPT) as its main target. These results present a powerful and simple genetic approach to create many protein variants that, in combination with positive selection, can be applied to reveal the cellular target of small-molecule inhibitors. Cancer therapy drugs are designed to target genetic vulnerabilities, but loss-of-function screens often fail to identify essential genes in drug mechanism studies. Here the authors demonstrate CRISPRres, which exploits in-frame variation generated by indel formation to discover gene-drug interactions.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-017-02349-8