Research Data Leeds Repository

Capturing Dynamic Assembly of Nanoscale Proteins During Network Formation

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

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

Creators or authors:

Creators	ORCID	Primary affiliation	Primary affiliation ID	Primary 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:

31 Oct 2024 16:27

Files

Documentation

readme.txt [4kB]

readme.txt [4kB]

Data

Rheology_Data.zip [96kB]

SAXS_Data.zip [132kB]

Simulation_Data.zip [460kB]