真核生物蛋白质生物生成和复合体组装的共翻译机制。

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Annual Review of Biomedical Data Science Pub Date : 2022-08-10 Epub Date: 2022-04-26 DOI:10.1146/annurev-biodatasci-121721-095858
Fabián Morales-Polanco, Jae Ho Lee, Natália M Barbosa, Judith Frydman
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引用次数: 0

摘要

蛋白质复合物的形成对大多数生物功能至关重要。蛋白质复合物生物生成的细胞机制尚不十分清楚,但一些共翻译和翻译后组装的原理已开始显现。在细菌中,编码蛋白质复合体亚基的操作子有利于这一过程。真核细胞没有多聚核苷酸 mRNA,这就提出了它们如何协调未组装亚基相遇的问题。在此,我们回顾了真核生物共翻译和翻译后蛋白质折叠和组装的制约因素和机制,包括伸长率对新生链靶向、折叠和伴侣相互作用的影响。最近的证据表明,编码寡聚体组装亚基的 mRNA 可以进行局部翻译并形成细胞质凝聚物,从而促进蛋白质复合体的组装。了解局部 mRNA 翻译和共翻译蛋白稳态之间的相互作用对于确定体内蛋白质复合体的组装至关重要。
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Cotranslational Mechanisms of Protein Biogenesis and Complex Assembly in Eukaryotes.

The formation of protein complexes is crucial to most biological functions. The cellular mechanisms governing protein complex biogenesis are not yet well understood, but some principles of cotranslational and posttranslational assembly are beginning to emerge. In bacteria, this process is favored by operons encoding subunits of protein complexes. Eukaryotic cells do not have polycistronic mRNAs, raising the question of how they orchestrate the encounter of unassembled subunits. Here we review the constraints and mechanisms governing eukaryotic co- and posttranslational protein folding and assembly, including the influence of elongation rate on nascent chain targeting, folding, and chaperone interactions. Recent evidence shows that mRNAs encoding subunits of oligomeric assemblies can undergo localized translation and form cytoplasmic condensates that might facilitate the assembly of protein complexes. Understanding the interplay between localized mRNA translation and cotranslational proteostasis will be critical to defining protein complex assembly in vivo.

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来源期刊
CiteScore
11.10
自引率
1.70%
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0
期刊介绍: The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.
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