单体在纤维表面的二次成核主导α-突触核蛋白聚集,并提供自催化淀粉样蛋白扩增。

IF 7.2 2区 生物学 Q1 BIOPHYSICS
Ricardo Gaspar, Georg Meisl, Alexander K Buell, Laurence Young, Clemens F Kaminski, Tuomas P J Knowles, Emma Sparr, Sara Linse
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引用次数: 141

摘要

帕金森病(PD)的特征是含有α-突触核蛋白原纤维的蛋白质聚集体,称为路易体和路易神经突。这种蛋白质的潜在聚集机制在温和酸性pH下由次级过程主导,如在核内体和其他细胞器中。这种效应表现为有种子存在时,聚合速度有很强的加速,而聚合速率对单体浓度的依赖性较弱。这一过程的分子机制可能是单体在纤维表面成核或纤维断裂。在这里,我们的目标是区分这些机制。利用差沉降分析、陷阱和种子实验、石英晶体微天平实验和超分辨显微镜对二级过程的性质进行了研究。结果表明,原纤维表面单体的二次成核是导致新聚集体快速生成的主要二次过程,而碎片化没有显著贡献。新产生的寡聚物种迅速伸长,进一步作为二次成核的模板,这可能对PD的传播具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secondary nucleation of monomers on fibril surface dominates α-synuclein aggregation and provides autocatalytic amyloid amplification.

Parkinson's disease (PD) is characterized by proteinaceous aggregates named Lewy Bodies and Lewy Neurites containing α-synuclein fibrils. The underlying aggregation mechanism of this protein is dominated by a secondary process at mildly acidic pH, as in endosomes and other organelles. This effect manifests as a strong acceleration of the aggregation in the presence of seeds and a weak dependence of the aggregation rate on monomer concentration. The molecular mechanism underlying this process could be nucleation of monomers on fibril surfaces or fibril fragmentation. Here, we aim to distinguish between these mechanisms. The nature of the secondary processes was investigated using differential sedimentation analysis, trap and seed experiments, quartz crystal microbalance experiments and super-resolution microscopy. The results identify secondary nucleation of monomers on the fibril surface as the dominant secondary process leading to rapid generation of new aggregates, while no significant contribution from fragmentation was found. The newly generated oligomeric species quickly elongate to further serve as templates for secondary nucleation and this may have important implications in the spreading of PD.

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来源期刊
Quarterly Reviews of Biophysics
Quarterly Reviews of Biophysics 生物-生物物理
CiteScore
12.90
自引率
1.60%
发文量
16
期刊介绍: Quarterly Reviews of Biophysics covers the field of experimental and computational biophysics. Experimental biophysics span across different physics-based measurements such as optical microscopy, super-resolution imaging, electron microscopy, X-ray and neutron diffraction, spectroscopy, calorimetry, thermodynamics and their integrated uses. Computational biophysics includes theory, simulations, bioinformatics and system analysis. These biophysical methodologies are used to discover the structure, function and physiology of biological systems in varying complexities from cells, organelles, membranes, protein-nucleic acid complexes, molecular machines to molecules. The majority of reviews published are invited from authors who have made significant contributions to the field, who give critical, readable and sometimes controversial accounts of recent progress and problems in their specialty. The journal has long-standing, worldwide reputation, demonstrated by its high ranking in the ISI Science Citation Index, as a forum for general and specialized communication between biophysicists working in different areas. Thematic issues are occasionally published.
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