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利用RNA测序和核糖体分析研究硒蛋白mRNA翻译

Studying Selenoprotein mRNA Translation Using RNA-Seq and Ribosome Profiling.

作者信息

Dalley Brian K, Baird Lisa, Howard Michael T

机构信息

Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, 84112, USA.

Department of Human Genetics, University of Utah, Salt Lake City, UT, 84112, USA.

出版信息

Methods Mol Biol. 2018;1661:103-123. doi: 10.1007/978-1-4939-7258-6_8.

Abstract

Deep sequencing of ribosome protected mRNA footprints, also called ribosome profiling or Ribo-Seq, is a relatively new methodology well suited to address questions regarding the mechanisms and efficiency of protein expression. Specifically, the ability of this technique to quantify ribosome abundance with codon resolution enables experiments aimed at studying many aspects of translation, including gene-specific translational efficiency, translation of regulatory upstream short open reading frames, sites of ribosome pausing, and most importantly for selenoproteins, the efficiency by which UGA codons are redefined to encode selenocysteine. Here, we describe a streamlined protocol that was developed in our lab to process mammalian tissue to produce the requisite matched ribosome profiling and RNA-Seq libraries for deep sequencing.

摘要

核糖体保护的mRNA足迹的深度测序,也称为核糖体分析或Ribo-Seq,是一种相对较新的方法,非常适合解决有关蛋白质表达机制和效率的问题。具体而言,该技术以密码子分辨率量化核糖体丰度的能力,使得能够开展旨在研究翻译多个方面的实验,包括基因特异性翻译效率、调控性上游短开放阅读框的翻译、核糖体暂停位点,以及对于硒蛋白而言最重要的,UGA密码子被重新定义以编码硒代半胱氨酸的效率。在此,我们描述了一种在我们实验室开发的简化方案,用于处理哺乳动物组织,以生成用于深度测序的必要的匹配核糖体分析和RNA-Seq文库。

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