Delivering Robust Candidates to the Drug Pipeline through Computational Analysis of Arrayed CRISPR Screens.
arrayed CRISPR screening
bioinformatics
data analysis
high-content imaging
target identification
Journal
SLAS discovery : advancing life sciences R & D
ISSN: 2472-5560
Titre abrégé: SLAS Discov
Pays: United States
ID NLM: 101697563
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
pubmed:
13
5
2020
medline:
17
7
2021
entrez:
13
5
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32394775
doi: 10.1177/2472555220921132
pii: S2472-5552(22)06575-3
doi:
Substances chimiques
Biomarkers
0
RNA, Guide
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM