Chan Clement T Y, Deng Wenjun, Li Fugen, DeMott Michael S, Babu I Ramesh, Begley Thomas J, Dedon Peter C
∥College of Nanoscale Science, State University of New York, Albany, New York 12203, United States.
Chem Res Toxicol. 2015 May 18;28(5):978-88. doi: 10.1021/acs.chemrestox.5b00004. Epub 2015 Apr 13.
Cells respond to stress by controlling gene expression at several levels, with little known about the role of translation. Here, we demonstrate a coordinated translational stress response system involving stress-specific reprogramming of tRNA wobble modifications that leads to selective translation of codon-biased mRNAs representing different classes of critical response proteins. In budding yeast exposed to four oxidants and five alkylating agents, tRNA modification patterns accurately distinguished among chemically similar stressors, with 14 modified ribonucleosides forming the basis for a data-driven model that predicts toxicant chemistry with >80% sensitivity and specificity. tRNA modification subpatterns also distinguish SN1 from SN2 alkylating agents, with SN2-induced increases in m(3)C in tRNA mechanistically linked to selective translation of threonine-rich membrane proteins from genes enriched with ACC and ACT degenerate codons for threonine. These results establish tRNA modifications as predictive biomarkers of exposure and illustrate a novel regulatory mechanism for translational control of cell stress response.
细胞通过在多个层面控制基因表达来应对压力,而关于翻译的作用却知之甚少。在此,我们展示了一个协调的翻译应激反应系统,该系统涉及tRNA摆动修饰的应激特异性重编程,从而导致对代表不同类别的关键反应蛋白的密码子偏好性mRNA进行选择性翻译。在暴露于四种氧化剂和五种烷化剂的芽殖酵母中,tRNA修饰模式能够准确区分化学性质相似的应激源,14种修饰的核糖核苷构成了一个数据驱动模型的基础,该模型预测毒物化学性质的灵敏度和特异性超过80%。tRNA修饰子模式也能区分SN1和SN2烷化剂,SN2诱导的tRNA中m(3)C增加与富含ACC和ACT苏氨酸简并密码子的基因中富含苏氨酸的膜蛋白的选择性翻译在机制上相关。这些结果确立了tRNA修饰作为暴露的预测生物标志物,并阐明了一种用于细胞应激反应翻译控制的新型调节机制。