Bender Steen W B, Kæstel-Hansen Jacob, Foderà Vito, Hatzakis Nikos S, Zhang Min
Department of Chemistry, University of Copenhagen, Copenhagen, Denmark.
Center for Optimized Oligo Escape and Control of Disease, University of Copenhagen, Copenhagen, Denmark.
Protein Sci. 2025 Jun;34(6):e70149. doi: 10.1002/pro.70149.
Protein aggregation is associated with a spectrum of neurodegenerative diseases. Although many small ligands have been found to modulate or inhibit protein aggregation, their molecular mechanisms remain unclear. One reason for this is the inherent heterogeneity of protein aggregation pathways with different kinetics that result in the coexistence of multiple structures, for example, protein spherulites and fibrils, challenging the analysis of protein-ligand interactions. To address this issue, we evaluated the roles of betaine and proline in insulin aggregation. We employed our recently developed super-resolution microscopy real-time kinetics via binding and photobleaching localization microscopy (REPLOM) to directly observe the formation and morphological evolution of individual insulin aggregates in real time, with or without betaine/proline. Utilizing our machine learning approach, we monitor the effect of betaine and proline on the aggregation pathways and extract the growth kinetics of each individual aggregate type. Our results show that a high concentration of betaine or proline modulates the heterogeneity of the final aggregates, leading to the formation of smaller aggregates in a mixture with spherulites. The fraction of small aggregates increases with betaine/proline concentration, highlighting the heterogeneity of protein aggregation, and our toolbox can unravel the effects of small molecule ligands on individual protein aggregation pathways and the resulting aggregate types and abundances.
蛋白质聚集与一系列神经退行性疾病相关。尽管已发现许多小分子配体可调节或抑制蛋白质聚集,但其分子机制仍不清楚。原因之一是蛋白质聚集途径具有内在的异质性,其动力学不同,导致多种结构共存,例如蛋白质球晶和纤维,这对蛋白质 - 配体相互作用的分析提出了挑战。为了解决这个问题,我们评估了甜菜碱和脯氨酸在胰岛素聚集中的作用。我们采用了最近开发的通过结合和光漂白定位显微镜进行超分辨率显微镜实时动力学(REPLOM),以实时直接观察有无甜菜碱/脯氨酸时单个胰岛素聚集体 的形成和形态演变。利用我们的机器学习方法,我们监测甜菜碱和脯氨酸对聚集途径的影响,并提取每种单独聚集体类型的生长动力学。我们的结果表明,高浓度的甜菜碱或脯氨酸调节最终聚集体的异质性,导致在与球晶的混合物中形成较小的聚集体。小聚集体的比例随甜菜碱/脯氨酸浓度增加,突出了蛋白质聚集的异质性,并且我们的工具箱可以揭示小分子配体对单个蛋白质聚集途径以及由此产生的聚集体类型和丰度的影响。