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Related Experiment Video

Updated: Sep 23, 2025

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy

Published on: September 12, 2019

Amyloid fibril length distribution from dynamic light scattering data.

Petr A Sokolov¹, Valeriy I Rolich², Olga S Vezo²

¹Department of Physics, St. Petersburg University, 7-9-11 Universitetskaya Emb, St. Petersburg, 199034, Russia. p.a.sokolov@spbu.ru.

European Biophysics Journal : EBJ

|May 13, 2022

Summary

A new method enhances amyloid protein aggregate analysis using dynamic light scattering data. This technique accurately measures fibril length distribution, offering insights into protein aggregation dynamics.

Keywords:

Amyloid DLS EPJE-D-21–00,098 Number distribution Prion SEM

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Area of Science:

Biophysics
Materials Science
Biochemistry

Background:

Amyloid protein aggregation is crucial in diseases but challenging to study.
Dynamic light scattering (DLS) is a powerful technique for analyzing particle size and distribution.
Existing DLS data processing methods can be limited by noise and complexity.

Purpose of the Study:

To develop and validate a novel approach for processing dynamic light scattering data for amyloid protein aggregates.
To accurately determine the fibril length distribution of amyloid aggregates over time.
To improve the understanding of amyloid aggregation kinetics.

Main Methods:

Applied a new data processing technique to dynamic light scattering data from Sup35NM amyloid aggregates.
Filtered and averaged autocorrelation functions to minimize noise.
Utilized numerical modeling to convert processed DLS data into fibril length distributions.
Validated results using atomic force microscopy (AFM) and scanning electron microscopy (SEM).

Main Results:

Successfully processed dynamic light scattering data from amyloid aggregates.
Obtained reliable fibril length distributions.
Demonstrated that the method accurately reflects the aggregation process.
Corroborated findings with complementary microscopy techniques.

Conclusions:

The developed DLS data processing method offers a robust way to study amyloid aggregation.
Fibril length distribution analysis provides key insights into the dynamics of protein aggregation.
This approach can be valuable for understanding amyloid-related diseases and developing therapeutics.