鉴定核糖体异质性的高通量方法。

IF 4.7 2区 生物学 Q1 BIOLOGY
Edwin S Kyei-Baffour, Qi Chang Lin, Ferhat Alkan, William J Faller
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引用次数: 0

摘要

最近在RNA翻译和核糖体生物学领域的进展已经证明了核糖体的异质性。这不仅在不同的细胞环境中表现出来,而且在同一细胞中也表现出来。这种核糖体组成的变化,无论是核糖体rna还是蛋白质,都可以通过改变被翻译的mrna或翻译过程中核糖体的动力学来显著影响细胞过程和反应。因此,识别这种异质性对于揭示不同生物学领域基因表达的复杂性至关重要。在这里,我们提供了高通量技术鉴定核糖体异质性的最新进展概述。我们涵盖了探测核糖体的rRNA和蛋白质成分的方法,并涵盖了最新的下一代测序和计算分析,以及各种质谱技术。本文是“核糖体多样性及其对蛋白质合成、发育和疾病的影响”讨论会的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-throughput approaches for the identification of ribosome heterogeneity.

High-throughput approaches for the identification of ribosome heterogeneity.

High-throughput approaches for the identification of ribosome heterogeneity.

High-throughput approaches for the identification of ribosome heterogeneity.

Recent advances in the fields of RNA translation and ribosome biology have demonstrated the heterogeneous nature of ribosomes. This manifests not only across different cellular contexts but also within the same cell. Such variations in ribosomal composition, be it in ribosomal RNAs or proteins, can significantly influence cellular processes and responses by altering the mRNAs being translated or the dynamics of ribosomes during the translation process. Therefore, identifying this heterogeneity is crucial for unravelling the complexity of gene expression across different fields of biology. Here we provide an overview of recent advances in high-throughput techniques for identifying ribosomal heterogeneity. We cover methodologies for probing both rRNA and protein components of the ribosome and encompass the most recent next-generation sequencing and computational analyses, as well as a diverse array of mass spectrometry techniques.This article is part of the discussion meeting issue 'Ribosome diversity and its impact on protein synthesis, development and disease'.

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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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