肽的淀粉样、无定形聚集体和集合体 - 评估聚集情况

IF 3.3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biophysical chemistry Pub Date : 2024-02-15 DOI:10.1016/j.bpc.2024.107202
Maja Juković, Ivana Ratkaj, Daniela Kalafatovic, Nicholas J. Bradshaw
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引用次数: 0

摘要

淀粉样蛋白聚集体和无定形聚集体是与疾病相关的两大类聚集体,虽然表现出不同的特征,但研究人员往往将它们等同看待,这表明需要对它们进行更全面的表征。在这里,我们根据淀粉样蛋白和无定形聚集体的生化特性、动力学和形态特征对它们进行了比较。为了进一步破解这一问题,我们建议使用多肽自组装作为了解聚集过程的最小模型。与参与聚集的蛋白质相比,肽构件的体积要小得多,然而,肽构件是弥合在更复杂的蛋白质水平上识别聚集过程的差距的一种可行方法。此外,我们还探索了受多肽启发的模型在研究液-液相分离方面的潜在用途,将其作为淀粉样蛋白形成前的一种可行机制。将这些概念联系起来有助于澄清我们对聚集相关疾病的理解,并有可能提供新的药物靶点来阻止和逆转这些严重疾病。
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Amyloids, amorphous aggregates and assemblies of peptides – Assessing aggregation

Amyloid and amorphous aggregates represent the two major categories of aggregates associated with diseases, and although exhibiting distinct features, researchers often treat them as equivalent, which demonstrates the need for more thorough characterization. Here, we compare amyloid and amorphous aggregates based on their biochemical properties, kinetics, and morphological features. To further decipher this issue, we propose the use of peptide self-assemblies as minimalistic models for understanding the aggregation process. Peptide building blocks are significantly smaller than proteins that participate in aggregation, however, they make a plausible means to bridge the gap in discerning the aggregation process at the more complex, protein level. Additionally, we explore the potential use of peptide-inspired models to research the liquid-liquid phase separation as a feasible mechanism preceding amyloid formation. Connecting these concepts can help clarify our understanding of aggregation-related disorders and potentially provide novel drug targets to impede and reverse these serious illnesses.

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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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