CRISPR gene and transcriptome engineering (CRISPRgate) improves loss-of-function genetic screening approaches
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Abstract
The CRISPR/Cas9 technology has revolutionized genotype-to-phenotype assignments through large-scale loss-of-function (LOF) screens. However, limitations like editing inefficiencies and unperturbed genes cause significant noise in data collection. To address this, we introduce CRISPR Gene and Transcriptome Engineering (CRISPRgate), which uses two specific sgRNAs to simultaneously repress and cleave the target gene within the same cell, increasing LOF efficiencies and reproducibility. CRISPRgate outperforms conventional CRISPRko, CRISPRi, or CRISPRoff systems in suppressing challenging targets and regulators of cell proliferation. Additionally, it efficiently suppresses modulators of EMT and impairs neuronal differentiation in a human iPSC model. In a multiplexed chromatin-focused phenotypic LOF screen, CRISPRgate exhibits improved depletion efficiency, reduced sgRNA performance variance, and accelerated gene depletion compared to individual CRISPRi or CRISPRko, ensuring consistency in phenotypic effects and identifying more significant gene hits. By combining CRISPRko and CRISPRi, CRISPRgate increases LOF rates without increasing genotoxic stress, facilitating library size reduction for advanced LOF screens. Motivation The CRISPR technology (CRISPRko/CRISPRi) enables the specific depletion of target genes with fewer off-target effects, facilitating precise investigations of gene function. Despite its benefits, CRISPR applications have limitations. Residual active protein expression mediated by in-frame DNA repair or alternative splicing 1–8 as well as strong epigenetic regulation and difficulties in sgRNA design to the transcription start site (TSS) 9–12 hinder the full potential of loss-of-function studies using CRISPRko or CRISPRi. We aimed to achieve robust target gene reduction in order to improve the reproducibility of the CRISPR technology by integrating the widely used CRISPRko and CRISPRi approaches into a single application.
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