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TDP-43凝聚物小世界网络内紧密寡聚体的出现。

Emergence of Compact Oligomers inside the Small-World Network of TDP-43 Condensates.

作者信息

Tang Huayuan, Sun Yunxiang, Wang Lei, Ke Pu Chun, Ding Feng

机构信息

Department of Engineering Mechanics, Hohai University, Nanjing 210098, China.

Department of Physics and Astronomy, Clemson University, Clemson, South Carolina 29634, United States.

出版信息

J Phys Chem Lett. 2025 Aug 7;16(31):7797-7806. doi: 10.1021/acs.jpclett.5c01627. Epub 2025 Jul 25.

Abstract

Liquid-liquid phase separation (LLPS) of TDP-43 mediates the formation of pathological inclusions in various neurodegenerative diseases, with the condensate structures and related amyloid aggregation remaining elusive. Here, by developing a data-driven bottom-up coarse-grained model using discrete molecular dynamics simulations, we found proteins in the condensates of TDP-43 forming a dynamic network of fluctuating sizes. While dominated by peptides engaged with a small number of peptides connected by a low number of interpeptide contacts, the condensates also contained peptides with large numbers of connections, serving as hubs of a small-world network. Importantly, peptides in these high-contact states were intertwined to form oligomers that were stable for relatively long periods inside the weakly connected network. These oligomers were likely the aggregation intermediates toward nucleation of amyloid fibrils. Therefore, this transferable coarse-grained model may serve as a powerful tool for unraveling the inner workings of LLPS and amyloid aggregation.

摘要

TDP-43的液-液相分离(LLPS)介导了多种神经退行性疾病中病理性聚集体的形成,但其凝聚物结构及相关淀粉样蛋白聚集情况仍不清楚。在此,我们通过使用离散分子动力学模拟开发一种数据驱动的自下而上粗粒度模型,发现TDP-43凝聚物中的蛋白质形成了一个大小波动的动态网络。虽然凝聚物主要由与少量通过少量肽间接触相连的肽组成,但也包含大量连接的肽,这些肽充当小世界网络的枢纽。重要的是,处于这些高接触状态的肽相互交织形成寡聚体,这些寡聚体在弱连接网络中相对长时间内保持稳定。这些寡聚体可能是淀粉样原纤维成核的聚集中间体。因此,这种可转移的粗粒度模型可能成为揭示LLPS和淀粉样蛋白聚集内在机制的有力工具。

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