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Selective ribosome profiling to study interactions of translating ribosomes in yeast

机译:选择性核糖体分析,研究在酵母中转化核糖体的相互作用

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A number of enzymes, targeting factors and chaperones engage ribosomes to support fundamental steps of nascent protein maturation, including enzymatic processing, membrane targeting and co-translational folding. The selective ribosome profiling (SeRP) method is a new tool for studying the co-translational activity of maturation factors that provides proteome-wide information on a factor's nascent interactome, the onset and duration of binding and the mechanisms controlling factor engagement. SeRP is based on the combination of two ribosome-profiling (RP) experiments, sequencing the ribosome-protected mRNA fragments from all ribosomes (total translatome) and the ribosome subpopulation engaged by the factor of interest (factor-bound translatome). We provide a detailed SeRP protocol, exemplified for the yeast Hsp70 chaperone Ssb (stress 70 B), for studying factor interactions with nascent proteins that is readily adaptable to identifying nascent interactomes of other co-translationally acting eukaryotic factors. The protocol provides general guidance for experimental design and optimization, as well as detailed instructions for cell growth and harvest, the isolation of (factor-engaged) monosomes, the generation of a cDNA library and data analysis. Experience in biochemistry and RNA handling, as well as basic programing knowledge, is necessary to perform SeRP. Execution of a SeRP experiment takes 8-10 working days, and initial data analysis can be completed within 1-2 d. This protocol is an extension of the originally developed protocol describing SeRP in bacteria.
机译:许多酶,靶向因子和伴侣接合核糖体,以支持新生蛋白质成熟的基本步骤,包括酶加工,膜靶向和共转折叠。选择性核糖体分析(SERP)方法是研究培养因子的共转化活性的新工具,其提供有关因子的新生互乱组的蛋白质全组信息,结合的发病和持续时间以及控制因子接合的机制。 SERP基于两种核糖体 - 分析(RP)实验的组合,从所有核糖体(总翻译)和由感兴趣因子接合的核糖体保护的mRNA片段和接合的核糖体亚群进行测序(因子结合翻译)。我们提供了一种详细的SERP协议,用于酵母HSP70伴侣SSB(应力70b),用于研究与新生蛋白质的相互作用,其易于适应鉴定其他共同翻译的真核生物因子的新生副术。该协议为实验设计和优化提供了一般指导,以及细胞生长和收获的详细说明,分离(因子接合)单体,发电cDNA文库和数​​据分析。有必要对生物化学和RNA处理以及基本的编程知识进行生物化学和RNA处理的经验。 SERP实验的执行需要8-10个工作日,并且初始数据分析可以在1-2天内完成。该协议是描述细菌中SERP的最初开发的协议的扩展。

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