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

Nugent PJ, Park H, Yelland JN, Wladyka CL, Sinha S, Chen KY, Quarterman G, Bynum C, Lee SC, Hsieh AC, Subramaniam AR Nature Methods 2025

Abstract

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, 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 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.