Department of Physics, St. Petersburg University, 7-9-11 Universitetskaya Emb, St. Petersburg, 199034, Russia.
Department of Genetics and Biotechnology, St. Petersburg University, 7-9-11 Universitetskaya Emb, St. Petersburg, 199034, Russia.
Eur Biophys J. 2022 Jul;51(4-5):325-333. doi: 10.1007/s00249-022-01600-5. Epub 2022 May 11.
The study of the aggregation of amyloid proteins is challenging. A new approach to processing dynamic light scattering data was developed and tested using aggregates of the well-known model Sup35NM amyloid. After filtering and calculating the moving averages of autocorrelation functions to reduce impacts of noise, each averaged autocorrelation function is converted to the fibril length distribution via numerical modeling. The processing results were verified using atomic force and scanning electron microscopy data. Analysis of fibril length distribution changes over time gives valuable information about the aggregation process.
研究淀粉样蛋白的聚集是具有挑战性的。本文提出了一种处理动态光散射数据的新方法，并使用著名的 Sup35NM 淀粉样蛋白聚集体对其进行了测试。通过过滤和计算自相关函数的移动平均值来减少噪声的影响，将每个平均自相关函数通过数值建模转换为原纤维长度分布。通过原子力显微镜和扫描电子显微镜数据验证了处理结果。分析原纤维长度分布随时间的变化可以提供有关聚集过程的有价值的信息。
