1. A Novel Screening Approach for the Dissection of Cellular Regulatory Networks of NF-κB Using Arrayed CRISPR gRNA Libraries
- Author
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Jenna Bradley, Mike Firth, Jian-Ping Yang, James Pilling, Jonathan D. Chesnut, Jan Wildenhain, David R. Piper, Mathew Leveridge, Patrick J. O'Shea, Chetana M. Revankar, and Beverley Isherwood
- Subjects
Computational biology ,Biology ,Biochemistry ,beta-Lactamases ,Analytical Chemistry ,03 medical and health sciences ,0302 clinical medicine ,Genes, Reporter ,RNA interference ,Reference genes ,Humans ,CRISPR ,Clustered Regularly Interspaced Short Palindromic Repeats ,Genomic library ,Gene Library ,030304 developmental biology ,0303 health sciences ,Reporter gene ,Genome, Human ,Tumor Necrosis Factor-alpha ,Cas9 ,Phosphotransferases ,NF-kappa B ,Amplicon ,High-Throughput Screening Assays ,Molecular Medicine ,CRISPR-Cas Systems ,Functional genomics ,030217 neurology & neurosurgery ,RNA, Guide, Kinetoplastida ,Signal Transduction ,Biotechnology - Abstract
CRISPR/Cas9 is increasingly being used as a tool to prosecute functional genomic screens. However, it is not yet possible to apply the approach at scale across a full breadth of cell types and endpoints. In order to address this, we developed a novel and robust workflow for array-based lentiviral CRISPR/Cas9 screening. We utilized a β-lactamase reporter gene assay to investigate mediators of TNF-α-mediated NF-κB signaling. The system was adapted for CRISPR/Cas9 through the development of a cell line stably expressing Cas9 and application of a lentiviral gRNA library comprising mixtures of four gRNAs per gene. We screened a 743-gene kinome library whereupon hits were independently ranked by percent inhibition, Z' score, strictly standardized mean difference, and T statistic. A consolidated and optimized ranking was generated using Borda-based methods. Screening data quality was above acceptable limits (Z' ≥ 0.5). In order to determine the contribution of individual gRNAs and to better understand false positives and negatives, a subset of gRNAs, against 152 genes, were profiled in singlicate format. We highlight the use of known reference genes and high-throughput, next-generation amplicon and RNA sequencing to assess screen data quality. Screening with singlicate gRNAs was more successful than screening with mixtures at identifying genes with known regulatory roles in TNF-α-mediated NF-κB signaling and was found to be superior to previous RNAi-based methods. These results add to the available data on TNF-α-mediated NF-κB signaling and establish a high-throughput functional genomic screening approach, utilizing a vector-based arrayed gRNA library, applicable across a wide variety of endpoints and cell types at a genome-wide scale.
- Published
- 2020
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