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A thermo-responsive, self-assembling biointerface for on demand release of surface-immobilised proteins
Angela Saccardo1, Mikhail Soloviev2, Enrico Ferrari1
1School of Life Sciences, University of Lincoln, Lincoln LN6 7TS, UK. eferrari@lincoln.ac.uk.
Biomaterials Science
|April 8, 2020
Summary
Scientists engineered a novel binary polypeptide system for reversible protein capture and release from surfaces. This system enables controlled thermo-responsive release, with potential applications in drug delivery and biomaterials.
Area of Science:
- Biochemistry
- Materials Science
- Biotechnology
Background:
- On-demand capture and release of biomolecules are crucial for advanced applications.
- Existing methods lack precise control over protein immobilization and release.
- Switchable surfaces and complex biomaterials require novel molecular tools.
Purpose of the Study:
- To engineer a binary self-assembling polypeptide system for reversible protein capture and controlled release.
- To develop thermo-responsive protein tags for stimuli-sensitive surface interactions.
- To create a platform for next-generation biomaterials and targeted drug delivery.
Main Methods:
- Engineering a binary polypeptide system comprising a universal protein substrate and a chimeric protein.
- Bio-inspiration from neuronal SNAP25, Syntaxin, and VAMP proteins for system design.
- Construction of chimeric proteins with high affinity, reversible self-assembly, and thermo-responsive release.
Main Results:
- Demonstrated reversible protein capture and immobilization on a solid surface.
- Developed two thermo-responsive tags with distinct melting temperatures (80°C and 45°C).
- Showcased potential for controlled release of proteins triggered by specific temperature increases.
Conclusions:
- The engineered binary polypeptide system offers a versatile platform for controlled protein manipulation.
- The thermo-responsive tags are promising for localized therapeutic protein delivery using external stimuli.
- This work provides a blueprint for designing future functional proteins with predictable responses.

