Home > Publications Database > Arrayed CRISPR libraries for the genome-wide activation, deletion and silencing of human protein-coding genes. |
Journal Article | DZNE-2025-00230 |
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2025
Nature Research
Tokyo
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Please use a persistent id in citations: doi:10.1038/s41551-024-01278-4
Abstract: Arrayed CRISPR libraries extend the scope of gene-perturbation screens to non-selectable cell phenotypes. However, library generation requires assembling thousands of vectors expressing single-guide RNAs (sgRNAs). Here, by leveraging massively parallel plasmid-cloning methodology, we show that arrayed libraries can be constructed for the genome-wide ablation (19,936 plasmids) of human protein-coding genes and for their activation and epigenetic silencing (22,442 plasmids), with each plasmid encoding an array of four non-overlapping sgRNAs designed to tolerate most human DNA polymorphisms. The quadruple-sgRNA libraries yielded high perturbation efficacies in deletion (75-99%) and silencing (76-92%) experiments and substantial fold changes in activation experiments. Moreover, an arrayed activation screen of 1,634 human transcription factors uncovered 11 novel regulators of the cellular prion protein PrPC, screening with a pooled version of the ablation library led to the identification of 5 novel modifiers of autophagy that otherwise went undetected, and 'post-pooling' individually produced lentiviruses eliminated template-switching artefacts and enhanced the performance of pooled screens for epigenetic silencing. Quadruple-sgRNA arrayed libraries are a powerful and versatile resource for targeted genome-wide perturbations.
Keyword(s): Humans (MeSH) ; Gene Silencing (MeSH) ; CRISPR-Cas Systems: genetics (MeSH) ; Genome, Human: genetics (MeSH) ; Gene Library (MeSH) ; RNA, Guide, CRISPR-Cas Systems: genetics (MeSH) ; Plasmids: genetics (MeSH) ; Gene Deletion (MeSH) ; HEK293 Cells (MeSH) ; Clustered Regularly Interspaced Short Palindromic Repeats: genetics (MeSH) ; Transcription Factors: genetics (MeSH) ; Transcription Factors: metabolism (MeSH) ; RNA, Guide, CRISPR-Cas Systems ; Transcription Factors
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