Real-time monitoring of protein self-assembly by dynamic light scattering

Dynamic light scattering (DLS) is a widely accessible technique for determining particle size distributions in solution. Although most commonly used to characterize samples at equilibrium, DLS can also provide insight into dynamic processes. Here, we present a protocol that employs DLS for real-time monitoring of protein self-assembly, enabling quantitative characterization of assembly kinetics. We have applied this approach to enzyme-based nanogels and hydrogels for biocatalytic applications, and it can be readily extended to other self-assembling biomolecular systems. The protocol comprises four main components: (1) preparation and quality control of individual proteins; (2) initiation of the self-assembly reaction coupled with continuous DLS measurements; (3) time-resolved control measurements of the individual proteins; and (4) evaluation and analysis of the resulting data to extract growth profiles and assess assembly dynamics. All measurements and metadata are organized in a FAIR-compliant research data management workflow, enabling transparent analysis and long-term reuse of time-resolved DLS datasets. The protocol provides time-resolved hydrodynamic diameters with a temporal resolution on the order of minutes. It requires only small sample volumes and a standard benchtop DLS instrument. From sample preparation to data visualization and deposition, the complete workflow can be completed within approximately 8 h. This protocol enables robust, real-time monitoring of protein self-assembly and provides quantitative insights into the kinetics and performance of self-assembling systems. The integration of FAIR research data management facilitates reproducibility and comparative analysis across proteins, variants, and experimental conditions.

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Publication Details

Journal
BMC Methods
Published
2026-05-12
DOI
https://doi.org/10.1186/s44330-026-00074-7
Primary Topic
Advanced Biosensing Techniques and Applications
Type
article
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article

Real-time monitoring of protein self-assembly by dynamic light scattering

Christof M. Niemeyer, Kersten S. Rabe, Maria Alessandra Martini, Julian S. Hertel et al.
BMC Methods
Advanced Biosensing Techniques and Applications
article

Real-time monitoring of protein self-assembly by dynamic light scattering

Christof M. Niemeyer, Kersten S. Rabe, Maria Alessandra Martini, Julian S. Hertel, Astrid Winterhalter, Jennifer Kühne, Annika J. Weber
article en

Abstract

Dynamic light scattering (DLS) is a widely accessible technique for determining particle size distributions in solution. Although most commonly used to characterize samples at equilibrium, DLS can also provide insight into dynamic processes. Here, we present a protocol that employs DLS for real-time monitoring of protein self-assembly, enabling quantitative characterization of assembly kinetics. We have applied this approach to enzyme-based nanogels and hydrogels for biocatalytic applications, and it can be readily extended to other self-assembling biomolecular systems. The protocol comprises four main components: (1) preparation and quality control of individual proteins; (2) initiation of the self-assembly reaction coupled with continuous DLS measurements; (3) time-resolved control measurements of the individual proteins; and (4) evaluation and analysis of the resulting data to extract growth profiles and assess assembly dynamics. All measurements and metadata are organized in a FAIR-compliant research data management workflow, enabling transparent analysis and long-term reuse of time-resolved DLS datasets. The protocol provides time-resolved hydrodynamic diameters with a temporal resolution on the order of minutes. It requires only small sample volumes and a standard benchtop DLS instrument. From sample preparation to data visualization and deposition, the complete workflow can be completed within approximately 8 h. This protocol enables robust, real-time monitoring of protein self-assembly and provides quantitative insights into the kinetics and performance of self-assembling systems. The integration of FAIR research data management facilitates reproducibility and comparative analysis across proteins, variants, and experimental conditions.

BMC MethodsVol. 3(1)
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 8%
Advanced Biosensing Techniques and Applications
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