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Updated: Nov 26, 2025

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Published on: October 26, 2009
Genetic Control of Radical Cross-linking in a Semisynthetic Hydrogel
Austin J Graham1, Christopher M Dundas1, Alexander Hillsley2
1McKetta Department of Chemical Engineering and Center for Dynamics and Control of Materials, University of Texas at Austin, Austin, Texas 78712, United States.
Researchers used bacteria to control material properties by linking genetic activity to material cross-linking. This method allows for programming synthetic materials with living system qualities like adaptation and sensing.
Area of Science:
- Biomaterials Engineering
- Synthetic Biology
- Microbiology
Background:
- Designing next-generation technologies requires materials with living system qualities like sensing and adaptation.
- Living materials incorporate live cells to control material function, necessitating new methods to couple biological processes with material properties.
Purpose of the Study:
- To demonstrate how extracellular electron transfer (EET) from Shewanella oneidensis can control radical cross-linking in hyaluronic acid hydrogels.
- To establish a foundation for programming synthetic materials using genetic control over EET.
Main Methods:
- Leveraging extracellular electron transfer (EET) from Shewanella oneidensis to control radical cross-linking of methacrylate-functionalized hyaluronic acid hydrogels.
- Investigating the impact of bacterial genotype on cross-linking rates and hydrogel mechanics (storage modulus).
- Utilizing an inducible gene circuit for transcriptional control of material properties via MtrC expression.
Main Results:
- Cross-linking rates and hydrogel mechanics were dependent on bacterial genotype and other factors.
- Bacteria remained viable and metabolically active in hydrogels for over a week.
- EET genes controlled hydrogel microstructure, and MtrC expression transcriptionally regulated storage modulus and cross-linking rate.
Conclusions:
- A general mechanism for radical cross-linking was established, enabling genetic control over material properties via EET.
- This work provides a foundation for programming synthetic materials with tunable form and function through biological control.
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