Numerous debilitating human disorders result from protein misfolding and amyloid formation. Despite the grave nature of these maladies, our understanding of the structural mechanism of fibril assembly is limited. Of paramount importance is the need to identify and characterize oligomeric species formed early during fibril assembly, so that the nature of the initiating assembly mechanism can be revealed and species that may be toxic to cells identified. However, the transient nature of early oligomeric species, combined with their heterogeneity and instability, has precluded detailed analysis to date. Here, we have used electrospray ionisation mass spectrometry (ESI-MS), complemented by analytical ultracentrifugation (AUC) and measurements of thioflavin-T fluorescence, to monitor the early stages of assembly of amyloid-like fibrils formed from human beta-2-microglobulin (beta2m) in vitro. We show that worm-like fibrils that form with nucleation-independent kinetics assemble by a mechanism consistent with monomer addition, with species ranging from monomer to > or = 13-mer being identified directly and uniquely as transient assembly intermediates. By contrast, only monomers, dimers, trimers and tetramers are observed during nucleated growth, which leads to the formation of long straight fibrils. The results highlight the unique power of non-covalent ESI-MS to identify protein assembly intermediates in complex heterogeneous systems and demonstrate its great potential to identify and characterise individual species formed early during amyloid assembly.

译文

蛋白质错误折叠和淀粉样蛋白形成导致许多衰弱的人类疾病。尽管这些疾病具有严重的性质,但我们对原纤维组装的结构机制的理解是有限的。最重要的是需要鉴定和表征在原纤维组装过程中早期形成的寡聚物种,以便可以揭示起始组装机制的性质,并鉴定出可能对细胞有毒的物种。然而,早期寡聚物种的瞬态性质,加上它们的异质性和不稳定性,迄今已排除了详细的分析。在这里,我们使用了电喷雾电离质谱 (ESI-MS),并辅以分析超速离心 (AUC) 和硫黄素-T荧光的测量,以监测由人beta-2-microglobulin (beta2m) 形成的淀粉样原纤维的组装的早期阶段。体外。我们表明,以与成核无关的动力学形成的蠕虫状原纤维通过与单体添加一致的机制组装,从单体到> 或 = 13-mer的种类被直接唯一地鉴定为瞬态组装中间体。相比之下,在成核生长过程中仅观察到单体,二聚体,三聚体和四聚体,这导致形成长而直的原纤维。结果突显了非共价ESI-MS在复杂的异质系统中识别蛋白质组装中间体的独特能力,并证明了其在识别和表征淀粉样蛋白组装早期形成的单个物种的巨大潜力。

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