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A Novel Screening Approach for the Dissection of Cellular Regulatory Networks of NF-κB Using Arrayed CRISPR gRNA
Patrick O'Shea1, Jan Wildenhain2, Mathew Leveridge1
1Discovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
SLAS Discovery : Advancing Life Sciences R & D
|June 2, 2020
Summary
We developed a scalable CRISPR/Cas9 screening workflow for functional genomics. This method enhances the identification of genes involved in TNF-α-mediated NF-κB signaling, outperforming previous RNAi techniques.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- CRISPR/Cas9 is a powerful tool for functional genomic screens.
- Current limitations hinder its large-scale application across diverse cell types and endpoints.
- Investigating TNF-α-mediated NF-κB signaling requires robust screening methods.
Purpose of the Study:
- To develop a novel, robust, and scalable workflow for array-based lentiviral CRISPR/Cas9 screening.
- To identify mediators of TNF-α-mediated NF-κB signaling using this new screening approach.
- To establish a high-throughput functional genomic screening platform applicable across various cell types and endpoints.
Main Methods:
- Developed a lentiviral CRISPR/Cas9 screening workflow using a β-lactamase reporter gene assay.
- Created a cell line stably expressing Cas9 and utilized a lentiviral gRNA library.
- Screened a 743-gene kinome library, employing Borda-based methods for consolidated hit ranking.
- Assessed screen quality using reference genes and next-generation sequencing.
Main Results:
- The developed CRISPR/Cas9 screening system demonstrated high data quality (Z' ≥ 0.5).
- Screening with singlicate guide RNAs (gRNAs) was more effective than using gRNA mixtures.
- Identified known regulatory genes in TNF-α-mediated NF-κB signaling with superior performance compared to RNAi methods.
Conclusions:
- Established a high-throughput, array-based CRISPR/Cas9 screening approach for functional genomics.
- The workflow is applicable to a wide range of cellular endpoints and cell types at a genome-wide scale.
- This method provides a significant advancement for large-scale functional genomic studies.

