Decoding post-transcriptional regulatory networks by RNA-linked CRISPR screening in human cells.

利用 RNA 连接的 CRISPR 筛选技术解码人类细胞中的转录后调控网络

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作者:Nugent Patrick J, Park Heungwon, Wladyka Cynthia L, Yelland James N, Sinha Sayantani, Chen Katharine Y, Bynum Christine, Quarterman Grace, Lee Stanley C, Hsieh Andrew C, Subramaniam Arvind Rasi
RNAs undergo a complex choreography of metabolic processes that are regulated by thousands of RNA-associated proteins. Here we introduce ReLiC, a scalable and high-throughput RNA-linked CRISPR approach to measure the responses of diverse RNA metabolic processes to knockout of 2,092 human genes encoding all known RNA-associated proteins. ReLiC relies on an iterative strategy to integrate genes encoding Cas9, single-guide RNAs (sgRNAs) and barcoded reporter libraries into a defined genomic locus. Combining ReLiC with polysome fractionation reveals key regulators of ribosome occupancy, uncovering links between translation and proteostasis. Isoform-specific ReLiC captures differential regulation of intron retention and exon skipping by SF3B complex subunits. Chemogenomic ReLiC screens decipher translational regulators upstream of messenger RNA (mRNA) decay and identify a role for the ribosome collision sensor GCN1 during treatment with the anti-leukemic drug homoharringtonine. Our work demonstrates ReLiC as a powerful framework for discovering and dissecting post-transcriptional regulatory networks in human cells.

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