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

Martini, Maria Alessandra ORCID iD icon 1; Winterhalter, Astrid ORCID iD icon 1; Weber, Annika J. ORCID iD icon 1; Kühne, Jennifer 1; Hertel, Julian S. ORCID iD icon 1; Rabe, Kersten S. ORCID iD icon 1; Niemeyer, Christof M. ORCID iD icon 1
1 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)

Abstract:

$\textbf{Background}$
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.

$\textbf{Methods}$
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.
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Verlagsausgabe §
DOI: 10.5445/IR/1000193280
Veröffentlicht am 18.05.2026
Originalveröffentlichung
DOI: 10.1186/s44330-026-00074-7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 3004-8729
KITopen-ID: 1000193280
Erschienen in BMC Methods
Verlag Springer Science and Business Media
Band 3
Heft 1
Seiten Art.Nr: 21
Vorab online veröffentlicht am 13.05.2026
Nachgewiesen in OpenAlex
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