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一种经过系统修订的细菌核糖体图谱分析方法可在单密码子分辨率下检测到暂停。

A systematically-revised ribosome profiling method for bacteria reveals pauses at single-codon resolution.

机构信息

Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, United States.

Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, United States.

出版信息

Elife. 2019 Feb 6;8:e42591. doi: 10.7554/eLife.42591.

Abstract

In eukaryotes, ribosome profiling provides insight into the mechanism of protein synthesis at the codon level. In bacteria, however, the method has been more problematic and no consensus has emerged for how to best prepare profiling samples. Here, we identify the sources of these problems and describe new solutions for arresting translation and harvesting cells in order to overcome them. These improvements remove confounding artifacts and improve the resolution to allow analyses of ribosome behavior at the codon level. With a clearer view of the translational landscape in vivo, we observe that filtering cultures leads to translational pauses at serine and glycine codons through the reduction of tRNA aminoacylation levels. This observation illustrates how bacterial ribosome profiling studies can yield insight into the mechanism of protein synthesis at the codon level and how these mechanisms are regulated in response to changes in the physiology of the cell.

摘要

在真核生物中,核糖体图谱分析在密码子水平上深入了解蛋白质合成的机制。然而,在细菌中,该方法存在更多问题,对于如何最好地准备图谱分析样品,尚未达成共识。在这里,我们确定了这些问题的来源,并描述了新的解决方案,用于阻止翻译并收获细胞,以克服这些问题。这些改进消除了混杂的假象,并提高了分辨率,从而可以在密码子水平上分析核糖体的行为。通过更清晰地了解体内的翻译景观,我们观察到通过降低 tRNA 氨酰化水平,过滤培养物会导致丝氨酸和甘氨酸密码子处的翻译暂停。这一观察结果说明了细菌核糖体图谱分析研究如何深入了解密码子水平上的蛋白质合成机制,以及这些机制如何响应细胞生理变化进行调节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33b4/6377232/3832370151a0/elife-42591-fig1.jpg

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