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Pooled shRNA Library Screening to Identify Factors that Modulate a Drug Resistance Phenotype
Published on: June 17, 2022
Dual direction CRISPR transcriptional regulation screening uncovers gene networks driving drug resistance
Carlos le Sage1, Steffen Lawo1, Prince Panicker1
1Horizon Discovery, 8100 Cambridge Research Park, Waterbeach, Cambridge, CB25 9TL, United Kingdom.
Abstract:
Pooled CRISPR-Cas9 knock out screens provide a valuable addition to the methods available for novel drug target identification and validation. However, where gene editing is targeted to amplified loci, the resulting multiple DNA cleavage events can be a cause of false positive hit identification. The generation of nuclease deficient versions of Cas9 has enabled the development of two additional techniques - CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) - that enable the repression or overexpression, respectively, of target genes. Here we report the first direct combination of all three approaches (CRISPRko, CRISPRi and CRISPRa) in the context of genome-wide screens to identify components that influence resistance and sensitivity to the BRAF inhibitor, vemurafenib. The pairing of both loss- and gain-of-function datasets reveals complex gene networks which control drug response and illustrates how such data can add substantial confidence to target identification and validation analyses.
Insights
Pooled CRISPR screens identify drug targets by combining knockout, interference, and activation methods. This approach enhances confidence in identifying genes influencing drug response and resistance.
Area of Science:
- * CRISPR-Cas9 gene editing technologies
- * Cancer drug discovery and resistance mechanisms
Background:
- * Pooled CRISPR-Cas9 knockout (CRISPRko) screens are effective for drug target identification but can yield false positives from multiple DNA cleavages.
- * Nuclease-deficient Cas9 variants enable CRISPR interference (CRISPRi) for gene repression and CRISPR activation (CRISPRa) for gene overexpression.
- * Combining CRISPRko, CRISPRi, and CRISPRa offers a more comprehensive approach to functional genomics.
Purpose of the Study:
- * To directly combine CRISPRko, CRISPRi, and CRISPRa in genome-wide screens.
- * To identify genetic components influencing sensitivity and resistance to the BRAF inhibitor vemurafenib.
- * To reveal complex gene networks controlling drug response through integrated functional genomics.
Main Methods:
- * Genome-wide CRISPRko, CRISPRi, and CRISPRa screens were performed.
- * The screens were designed to identify genetic modifiers of vemurafenib response.
- * Loss-of-function (CRISPRko, CRISPRi) and gain-of-function (CRISPRa) datasets were integrated.
Main Results:
- * The combined application of CRISPRko, CRISPRi, and CRISPRa identified key regulators of vemurafenib response.
- * Integration of loss- and gain-of-function data revealed complex gene networks underlying drug sensitivity and resistance.
- * This multi-pronged CRISPR approach enhances confidence in novel drug target identification and validation.
Conclusions:
- * Directly combining CRISPRko, CRISPRi, and CRISPRa in genome-wide screens is feasible and powerful.
- * This integrated approach provides a more robust method for identifying drug targets and understanding drug resistance.
- * The study highlights the value of combining diverse CRISPR-based functional genomics strategies for drug discovery.
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