Delivering Robust Candidates to the Drug Pipeline through Computational Analysis of Arrayed CRISPR Screens. (July 2020)

• Record Type: Journal Article
• Authors: Guerriero, Maria Luisa; Corrigan, Adam; Bornot, Aurélie; Firth, Mike; O'Shea, Patrick; Ross-Thriepland, Douglas; Peel, Samantha
• Is Part Of: SLAS discovery. Volume 25:Number 6(2020)
• Page Start: 646
• Page End: 654
• Publication Date: 2020-07
• Subjects: arrayed CRISPR screening -- target identification -- high-content imaging -- bioinformatics -- data analysis; Drugs -- Analysis -- Periodicals; Drugs -- Testing -- Periodicals; Biomolecules -- Analysis -- Periodicals; Biomolecules -- Analysis; Drugs -- Analysis; Drugs -- Testing; Drug Evaluation, Preclinical; Molecular Biology -- methods; Periodicals; Periodicals; 615.1
• DOI: 10.1177/2472555220921132
• Languages: English
• ISSNs: 2472-5552

Abstract

Genome-wide arrayed CRISPR screening is a powerful method for drug target identification as it enables exploration of the effect of individual gene perturbations using diverse highly multiplexed functional and phenotypic assays. Using high-content imaging, we can measure changes in biomarker expression, intracellular localization, and cell morphology. Here we present the computational pipeline we have developed to support the analysis and interpretation of arrayed CRISPR screens. This includes evaluating the quality of guide RNA libraries, performing image analysis, evaluating assay results quality, data processing, hit identification, ranking, visualization, and biological interpretation.