Self-Assembly of Microstructured Protein Coatings with Programmable Functionality for Fluorescent Biosensors

Proteins, as genetically programmable functional macromolecules, hold immense potential as biocompatible self-assembling building blocks, owing to their versatility in building coating materials and programming their functionality genetically. In this study, we demonstrate a modular self-assembly of protein coatings that are genetically programmable for a biosensor application. We designed and produced recombinant fusion protein building blocks to form microstructured coatings on diverse substrates, such as glass or polymers, through thermally triggered liquid-liquid phase separation and an orthogonal high-affinity coiled-coil interaction. We incorporated fluorescence proteins into coatings and controlled the protein density to enable fluorescence imaging and quantification in a low-resource setting. Then, we created a coating for a calcium biosensor using a genetically engineered calcium indicator protein. This protein coating served as the foundation for our smartphone-based fluorescent biosensor, which successfully measured free calcium concentrations in the millimolar range at which extracellular calcium homeostasis is maintained. Using this fluorescent biosensor, we were able to detect abnormal physiological conditions, such as mild or moderate hypercalcemia. We envision that this modular and genetically programmable functional protein coating platform could be extended to the development of highly accessible, low-cost fluorescent biosensors for a variety of targets.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-11-06
DOI
https://doi.org/10.1021/acsami.4c14249
Citations
2
Primary Topic
Nanofabrication and Lithography Techniques
Type
article
Field-Weighted Citation Impact
0.37

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article

Self-Assembly of Microstructured Protein Coatings with Programmable Functionality for Fluorescent Biosensors

Donghoon Yoon, Won Min Park, Jungkwun Kim, Suna Jo et al.
2 citations
ACS Applied Materials & Interfaces
Nanofabrication and Lithography Techniques
0.37
article

Self-Assembly of Microstructured Protein Coatings with Programmable Functionality for Fluorescent Biosensors

Donghoon Yoon, Won Min Park, Jungkwun Kim, Suna Jo, Erin Pearson
article en
2 citations

Abstract

Proteins, as genetically programmable functional macromolecules, hold immense potential as biocompatible self-assembling building blocks, owing to their versatility in building coating materials and programming their functionality genetically. In this study, we demonstrate a modular self-assembly of protein coatings that are genetically programmable for a biosensor application. We designed and produced recombinant fusion protein building blocks to form microstructured coatings on diverse substrates, such as glass or polymers, through thermally triggered liquid-liquid phase separation and an orthogonal high-affinity coiled-coil interaction. We incorporated fluorescence proteins into coatings and controlled the protein density to enable fluorescence imaging and quantification in a low-resource setting. Then, we created a coating for a calcium biosensor using a genetically engineered calcium indicator protein. This protein coating served as the foundation for our smartphone-based fluorescent biosensor, which successfully measured free calcium concentrations in the millimolar range at which extracellular calcium homeostasis is maintained. Using this fluorescent biosensor, we were able to detect abnormal physiological conditions, such as mild or moderate hypercalcemia. We envision that this modular and genetically programmable functional protein coating platform could be extended to the development of highly accessible, low-cost fluorescent biosensors for a variety of targets.

ACS Applied Materials & InterfacesVol. 16(46)
University of North Texas (US), Kansas State University (US), University of Arkansas for Medical Sciences (US)
National Science Foundation, Johnson Cancer Research Center, Kansas State University, Division of Materials Research
Affordable and clean energy
Openalex Percentile: Top 42%
Nanofabrication and Lithography Techniques
0.37
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