Research Data Leeds Repository

Citation

Hughes, Matt D. G. and Cook, Kalila and Cussons, Sophie and Boroumand, Ahmad and Tyler, Arwen I. I. and Head, David and Brockwell, David J. and Dougan, Lorna (2024) Capturing Dynamic Assembly of Nanoscale Proteins During Network Formation. University of Leeds. [Dataset] https://doi.org/10.5518/1587

Dataset description

The structural evolution of hierarchical structures of nanoscale biomolecules is crucial for the construction of functional networks in vivo and in vitro. Despite the ubiquity of these networks, the physical mechanisms behind their formation and self-assembly remains poorly understood. Here, we use photochemically cross-linked folded protein hydrogels as a model biopolymer network system, with a combined time-resolved rheology and small-angle x-ray scattering (SAXS) approach to probe both the load-bearing structures and network architectures thereby providing a cross-length scale understanding of the network formation. Combining SAXS, rheology, and kinetic modelling, we propose a dual formation mechanism consisting of a primary formation phase, where monomeric folded proteins create the preliminary protein network scaffold; and a subsequent secondary formation phase, where both additional intra-networks crosslinks form and larger oligomers diffuse to join the preliminary network, leading to a denser more mechanically robust structure. Identifying this as the origin of the structural and mechanical properties of protein networks creates future opportunities to understand hierarchical biomechanics in vivo and develop functional, designed-for-purpose, biomaterials.

Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1002/smll.202407090 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	31 Oct 2024 16:10
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1340
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Hughes, Matt D. G. https://orcid.org/0000-0001-5838-7939 University of Leeds https://ror.org/024mrxd33 ror Cook, Kalila https://orcid.org/0009-0008-5534-2813 University of Leeds https://ror.org/024mrxd33 ror Cussons, Sophie https://orcid.org/0000-0002-9318-3859 University of Leeds https://ror.org/024mrxd33 ror Boroumand, Ahmad https://orcid.org/0000-0002-4330-4691 University of Leeds https://ror.org/024mrxd33 ror Tyler, Arwen I. I. https://orcid.org/0000-0003-2116-1084 University of Leeds https://ror.org/024mrxd33 ror Head, David https://orcid.org/0000-0003-0216-6787 University of Leeds https://ror.org/024mrxd33 ror Brockwell, David J. https://orcid.org/0000-0002-0802-5937 University of Leeds https://ror.org/024mrxd33 ror Dougan, Lorna https://orcid.org/0000-0002-2620-5827 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/X023524/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: phymhug@leeds.ac.uk Last Modified: 02 Dec 2024 15:56

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Data

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SAXS_Data.zip [132kB] SAXS_Data.zip [132kB] SAXS_Data.zip [132kB] Security: Anyone File name: SAXS_Data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 132kB

Simulation_Data.zip [460kB] Simulation_Data.zip [460kB] Simulation_Data.zip [460kB] Security: Anyone File name: Simulation_Data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 460kB