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核糖体分析的改进为翻译调控提供了新数据。

Modifications of Ribosome Profiling that Provide New Data on the Translation Regulation.

作者信息

Andreev Dmitry E, Smirnova Viktoriya V, Shatsky Ivan N

机构信息

Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992, Russia.

Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, 117997, Russia.

出版信息

Biochemistry (Mosc). 2021 Sep;86(9):1095-1106. doi: 10.1134/S0006297921090054.

Abstract

Ribosome profiling (riboseq) has opened the possibilities for the genome-wide studies of translation in all living organisms. This method is based on deep sequencing of mRNA fragments protected by the ribosomes from hydrolysis by ribonucleases, the so-called ribosomal footprints (RFPs). Ribosomal profiling together with RNA sequencing allows not only to identify with a reasonable accuracy translated reading frames in the transcriptome, but also to track changes in gene expression in response to various stimuli. Notably, ribosomal profiling in its classical version has certain limitations. The size of the selected mRNA fragments is 25-35 nts, while RFPs of other sizes are usually omitted from analysis. Also, ribosomal profiling "averages" the data from all ribosomes and does not allow to study specific ribosomal complexes associated with particular translation factors. However, recently developed modifications of ribosomal profiling provide answers to a number of questions. Thus, it has become possible to analyze not only elongating, but also scanning and reinitiating ribosomes, to study events associated with the collision of ribosomes during mRNA translation, to discover new ways of cotranslational assembly of multisubunit protein complexes during translation, and to selectively isolate ribosomal complexes associated with certain protein factors. New data obtained using these modified approaches provide a better understanding of the mechanisms of translation regulation and the functional roles of translational apparatus components.

摘要

核糖体谱分析(riboseq)为在所有生物体中进行全基因组翻译研究开辟了可能性。该方法基于对核糖体保护的mRNA片段进行深度测序,这些片段可免受核糖核酸酶的水解,即所谓的核糖体足迹(RFPs)。核糖体谱分析与RNA测序相结合,不仅能够以合理的准确性识别转录组中的翻译阅读框,还能追踪基因表达在各种刺激下的变化。值得注意的是,经典版本的核糖体谱分析存在一定局限性。所选mRNA片段的大小为25 - 35个核苷酸,而其他大小的RFPs通常在分析中被忽略。此外,核糖体谱分析对来自所有核糖体的数据进行“平均”,无法研究与特定翻译因子相关的特定核糖体复合物。然而,最近开发的核糖体谱分析改进方法为一些问题提供了答案。因此,不仅可以分析延伸中的核糖体,还可以分析扫描和重新起始的核糖体,研究mRNA翻译过程中与核糖体碰撞相关的事件,发现翻译过程中多亚基蛋白质复合物共翻译组装的新方式,并选择性地分离与某些蛋白质因子相关的核糖体复合物。使用这些改进方法获得的新数据有助于更好地理解翻译调控机制以及翻译装置组件的功能作用。

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