期刊
ACS NANO
卷 -, 期 -, 页码 -出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.2c02369
关键词
protein-hydrogel; biomimetic; bioinspired; chemical responsive hydrogel; rheology; entanglement; protein unfolding
类别
资金
- Engineering and Physical Sciences Research Council (EPSRC) [EP/P02288X/1]
- White Rose Industrial Biotechnology studentship network
- DANSE project under NSF [DMR-0520547]
Globular folded proteins, as versatile nanoscale building blocks, can be used to create biomaterials with adjustable unfolding and entanglement behavior, which is beneficial for applications requiring responsive and dynamic modulation of mechanical properties and biological function.
Globular folded proteins are versatile nanoscale building blocks to create biomaterials with mechanical robustness and inherent biological functionality due to their specific and well-defined folded structures. Modulating the nanoscale unfolding of protein building blocks during network formation (in situ protein unfolding) provides potent opportunities to control the protein network structure and mechanics. Here, we control protein unfolding during the formation of hydrogels constructed from chemically cross-linked maltose binding protein using ligand binding and the addition of cosolutes to modulate protein kinetic and thermodynamic stability. Bulk shear rheology characterizes the storage moduli of the bound and unbound protein hydrogels and reveals a correlation between network rigidity, characterized as an increase in the storage modulus, and protein thermodynamic stability. Furthermore, analysis of the network relaxation behavior identifies a crossover from an unfolding dominated regime to an entanglement dominated regime. Control of in situ protein unfolding and entanglement provides an important route to finely tune the architecture, mechanics, and dynamic relaxation of protein hydrogels. Such predictive control will be advantageous for future smart biomaterials for applications which require responsive and dynamic modulation of mechanical properties and biological function.
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