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.
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
| 期刊: | Nature Methods | 影响因子: | 32.100 |
| 时间: | 2025 | 起止号: | 2025 Jun;22(6):1237-1246 |
| doi: | 10.1038/s41592-025-02702-6 | 种属: | Human |
| 研究方向: | 细胞生物学 | ||
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