Self-Assembly of\nMicrostructured Protein Coatings\nwith Programmable Functionality for Fluorescent Biosensors

Proteins, as genetically programmable functional macromolecules,\nhold immense potential as biocompatible self-assembling building blocks,\nowing to their versatility in building coating materials and programming\ntheir functionality genetically. In this study, we demonstrate a modular\nself-assembly of protein coatings that are genetically programmable\nfor a biosensor application. We designed and produced recombinant\nfusion protein building blocks to form microstructured coatings on\ndiverse substrates, such as glass or polymers, through thermally triggered\nliquid–liquid phase separation and an orthogonal high-affinity\ncoiled-coil interaction. We incorporated fluorescence proteins into\ncoatings and controlled the protein density to enable fluorescence\nimaging and quantification in a low-resource setting. Then, we created\na coating for a calcium biosensor using a genetically engineered calcium\nindicator protein. This protein coating served as the foundation for\nour smartphone-based fluorescent biosensor, which successfully measured\nfree calcium concentrations in the millimolar range at which extracellular\ncalcium homeostasis is maintained. Using this fluorescent biosensor,\nwe were able to detect abnormal physiological conditions, such as\nmild or moderate hypercalcemia. We envision that this modular and\ngenetically programmable functional protein coating platform could\nbe extended to the development of highly accessible, low-cost fluorescent\nbiosensors for a variety of targets.

Publication Details

Journal
Figshare
Published
2024-11-06
DOI
https://doi.org/10.1021/acsami.4c14249.s001
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Assembly of\nMicrostructured Protein Coatings\nwith Programmable Functionality for Fluorescent Biosensors

Figshare
Mycorrhizal Fungi and Plant Interactions
article

Self-Assembly of\nMicrostructured Protein Coatings\nwith Programmable Functionality for Fluorescent Biosensors

article en

Abstract

Proteins, as genetically programmable functional macromolecules,\nhold immense potential as biocompatible self-assembling building blocks,\nowing to their versatility in building coating materials and programming\ntheir functionality genetically. In this study, we demonstrate a modular\nself-assembly of protein coatings that are genetically programmable\nfor a biosensor application. We designed and produced recombinant\nfusion protein building blocks to form microstructured coatings on\ndiverse substrates, such as glass or polymers, through thermally triggered\nliquid–liquid phase separation and an orthogonal high-affinity\ncoiled-coil interaction. We incorporated fluorescence proteins into\ncoatings and controlled the protein density to enable fluorescence\nimaging and quantification in a low-resource setting. Then, we created\na coating for a calcium biosensor using a genetically engineered calcium\nindicator protein. This protein coating served as the foundation for\nour smartphone-based fluorescent biosensor, which successfully measured\nfree calcium concentrations in the millimolar range at which extracellular\ncalcium homeostasis is maintained. Using this fluorescent biosensor,\nwe were able to detect abnormal physiological conditions, such as\nmild or moderate hypercalcemia. We envision that this modular and\ngenetically programmable functional protein coating platform could\nbe extended to the development of highly accessible, low-cost fluorescent\nbiosensors for a variety of targets.

Figshare
Openalex Percentile: Top 60%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.