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淀粉样蛋白结构与组装:扫描透射电子显微镜的新视角。

Amyloid structure and assembly: insights from scanning transmission electron microscopy.

机构信息

The Brain and Mind Research Institute, University of Sydney, NSW 2006, Australia.

出版信息

J Struct Biol. 2011 Jan;173(1):1-13. doi: 10.1016/j.jsb.2010.09.018. Epub 2010 Sep 22.

Abstract

Amyloid fibrils are filamentous protein aggregates implicated in several common diseases such as Alzheimer's disease and type II diabetes. Similar structures are also the molecular principle of the infectious spongiform encephalopathies such as Creutzfeldt-Jakob disease in humans, scrapie in sheep, and of the so-called yeast prions, inherited non-chromosomal elements found in yeast and fungi. Scanning transmission electron microscopy (STEM) is often used to delineate the assembly mechanism and structural properties of amyloid aggregates. In this review we consider specifically contributions and limitations of STEM for the investigation of amyloid assembly pathways, fibril polymorphisms and structural models of amyloid fibrils. This type of microscopy provides the only method to directly measure the mass-per-length (MPL) of individual filaments. Made on both in vitro assembled and ex vivo samples, STEM mass measurements have illuminated the hierarchical relationships between amyloid fibrils and revealed that polymorphic fibrils and various globular oligomers can assemble simultaneously from a single polypeptide. The MPLs also impose strong constraints on possible packing schemes, assisting in molecular model building when combined with high-resolution methods like solid-state nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR).

摘要

淀粉样纤维是丝状蛋白聚集体,与几种常见疾病有关,如阿尔茨海默病和 2 型糖尿病。类似的结构也是传染性海绵状脑病的分子原理,如人类的克雅氏病、绵羊的羊瘙痒病,以及所谓的酵母朊病毒,即存在于酵母和真菌中的遗传性非染色体元件。扫描透射电子显微镜(STEM)常用于描绘淀粉样聚集物的组装机制和结构特性。在这篇综述中,我们特别考虑了 STEM 对淀粉样蛋白组装途径、纤维多态性和淀粉样纤维结构模型的研究的贡献和局限性。这种显微镜提供了唯一一种直接测量单个纤维的质量-长度比(MPL)的方法。在体外组装和离体样本上进行的 STEM 质量测量揭示了淀粉样纤维之间的层次关系,并表明多态纤维和各种球状寡聚体可以从单个多肽同时组装。MPL 还对可能的包装方案施加了很强的限制,当与高分辨率方法(如固态核磁共振(NMR)和电子顺磁共振(EPR))结合使用时,有助于分子模型构建。

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