Nugent Patrick J, Park Heungwon, Wladyka Cynthia L, Chen Katharine Y, Bynum Christine, Quarterman Grace, Hsieh Andrew C, Subramaniam Arvind Rasi
Basic Sciences Division and Computational Biology Section of the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle WA, USA.
Molecular and Cellular Biology Graduate Program, University of Washington, Seattle WA, USA.
bioRxiv. 2024 Jul 26:2024.07.25.605204. doi: 10.1101/2024.07.25.605204.
RNAs undergo a complex choreography of metabolic processes in human cells that are regulated by thousands of RNA-associated proteins. While the effects of individual RNA-associated proteins on RNA metabolism have been extensively characterized, the full complement of regulators for most RNA metabolic events remain unknown. Here we present a massively parallel RNA-linked CRISPR (ReLiC) screening approach to measure the responses of diverse RNA metabolic events to knockout of 2,092 human genes encoding all known RNA-associated proteins. ReLiC screens highlight modular interactions between gene networks regulating splicing, translation, and decay of mRNAs. When combined with biochemical fractionation of polysomes, ReLiC reveals striking pathway-specific coupling between growth fitness and mRNA translation. Perturbing different components of the translation and proteostasis machineries have distinct effects on ribosome occupancy, while perturbing mRNA transcription leaves ribosome occupancy largely intact. Isoform-selective ReLiC screens capture differential regulation of intron retention and exon skipping by SF3b complex subunits. Chemogenomic screens using ReLiC decipher translational regulators upstream of mRNA decay and uncover a role for the ribosome collision sensor GCN1 during treatment with the anti-leukemic drug homoharringtonine. Our work demonstrates ReLiC as a versatile platform for discovering and dissecting regulatory principles of human RNA metabolism.
RNA在人类细胞中经历了由数千种RNA相关蛋白调控的复杂代谢过程编排。虽然单个RNA相关蛋白对RNA代谢的影响已得到广泛表征,但大多数RNA代谢事件的完整调控因子仍不清楚。在此,我们提出了一种大规模平行的RNA连接CRISPR(ReLiC)筛选方法,以测量各种RNA代谢事件对敲除2092个编码所有已知RNA相关蛋白的人类基因的反应。ReLiC筛选突出了调节mRNA剪接、翻译和降解的基因网络之间的模块化相互作用。当与多核糖体的生化分级分离相结合时,ReLiC揭示了生长适应性与mRNA翻译之间惊人的途径特异性偶联。干扰翻译和蛋白质稳态机制的不同组分对核糖体占有率有不同影响,而干扰mRNA转录则使核糖体占有率基本保持不变。异构体选择性ReLiC筛选捕获了SF3b复合体亚基对内含子保留和外显子跳跃的差异调节。使用ReLiC的化学基因组筛选揭示了mRNA降解上游的翻译调节因子,并发现了核糖体碰撞传感器GCN1在抗白血病药物高三尖杉酯碱治疗期间的作用。我们的工作证明ReLiC是一个用于发现和剖析人类RNA代谢调控原理的通用平台。