How does protein aggregate structure affect mechanisms of disaggregation?

IF 3.8 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
YuChen Yang, Hays S Rye
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引用次数: 0

Abstract

Protein misfolding and aggregation underpin numerous pathological conditions, including Alzheimer's, Parkinson's, and Huntington's diseases. Within cells, the competition between protein folding and misfolding- driven aggregation necessitates intricate quality control systems known collectively as the proteostasis network, with molecular chaperones playing central roles. Critical gaps remain in our understanding of why certain protein aggregates are amenable to efficient chaperone-mediated disassembly, while others resist such intervention. Aggregates can be most broadly categorized into structurally ordered amyloid fibrils and more irregular amorphous clusters. Amyloid fibrils are characterized by a highly structured, cross-β-sheet architecture, and they generally display nucleation-driven growth kinetics. In contrast, amorphous aggregates form through heterogeneous interactions among partially unfolded proteins, which typically lack ordered and repeating structure but still display poorly understood, specific assembly constraints. Importantly, amorphous aggregation and amyloid formation are often linked to one another, with several different types of aggregate structures forming at the same time. The ability of molecular chaperones to remodel and disassemble aggregates is affected by aggregate size, internal structure, surface dynamics, and exposure of chaperone-binding sites. However, despite these insights, the mechanistic complexity, aggregate heterogeneity, and dynamic properties present substantial experimental and theoretical challenges. Addressing these challenges will require innovative approaches combining single-molecule biophysics, structural biology, and computational modeling to unveil universal principles governing protein aggregation and disaggregation within cellular environments.

蛋白质聚集结构如何影响分解机制?
蛋白质错误折叠和聚集是许多病理状况的基础,包括阿尔茨海默病、帕金森病和亨廷顿病。在细胞内,蛋白质折叠和错误折叠驱动的聚集之间的竞争需要复杂的质量控制系统,统称为蛋白质静止网络,其中分子伴侣起着核心作用。对于为什么某些蛋白质聚集体能够适应有效的伴侣介导的分解,而另一些则抵制这种干预,我们的理解仍然存在关键的空白。聚集体可以大致分为结构有序的淀粉样原纤维和更不规则的无定形团簇。淀粉样蛋白原纤维的特点是高度结构化,交叉β片结构,它们通常显示成核驱动的生长动力学。相反,无定形聚集体是通过部分未折叠的蛋白质之间的异质相互作用形成的,这些蛋白质通常缺乏有序和重复的结构,但仍然显示出难以理解的特定组装约束。重要的是,无定形聚集和淀粉样蛋白的形成通常是相互联系的,同时形成几种不同类型的聚集结构。分子伴侣重塑和分解聚集体的能力受到聚集体大小、内部结构、表面动力学和伴侣结合位点暴露的影响。然而,尽管有这些见解,机械复杂性、总体异质性和动态特性仍然存在大量的实验和理论挑战。解决这些挑战需要结合单分子生物物理学、结构生物学和计算建模的创新方法,以揭示细胞环境中控制蛋白质聚集和分解的普遍原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Society transactions
Biochemical Society transactions 生物-生化与分子生物学
CiteScore
7.80
自引率
0.00%
发文量
351
审稿时长
3-6 weeks
期刊介绍: Biochemical Society Transactions is the reviews journal of the Biochemical Society. Publishing concise reviews written by experts in the field, providing a timely snapshot of the latest developments across all areas of the molecular and cellular biosciences. Elevating our authors’ ideas and expertise, each review includes a perspectives section where authors offer comment on the latest advances, a glimpse of future challenges and highlighting the importance of associated research areas in far broader contexts.
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