Delivering Robust Candidates to the Drug Pipeline through Computational Analysis of Arrayed CRISPR Screens

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 express...

Full description

Saved in:
Bibliographic Details
Published in:SLAS discovery 2020-07, Vol.25 (6), p.646-654
Main Authors: Guerriero, Maria Luisa, Corrigan, Adam, Bornot, Aurélie, Firth, Mike, O’Shea, Patrick, Ross-Thriepland, Douglas, Peel, Samantha
Format: Article
Language:English
Subjects:
arrayed CRISPR screening
bioinformatics
Biomarkers - analysis
Clustered Regularly Interspaced Short Palindromic Repeats - genetics
Computational Biology
data analysis
Drug Discovery
Gene Library
Genome, Human - genetics
high-content imaging
High-Throughput Screening Assays - trends
Humans
Molecular Imaging - trends
RNA, Guide, CRISPR-Cas Systems - genetics
target identification
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2472-5552
2472-5560
DOI:10.1177/2472555220921132