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Related Experiment Video

Updated: Sep 5, 2025

FRET Microscopy for Real-time Monitoring of Signaling Events in Live Cells Using Unimolecular Biosensors

FRET Microscopy for Real-time Monitoring of Signaling Events in Live Cells Using Unimolecular Biosensors

Published on: August 20, 2012

Resource for FRET-Based Biosensor Optimization.

Heonsu Kim¹, Gyuho Choi², Myung Eun Suk³

¹Institute of Systems Biology, Pusan National University, Busan, South Korea.

Frontiers in Cell and Developmental Biology

|July 7, 2022

Summary

This summary is machine-generated.

This review organizes strategies for optimizing fluorescence resonance energy transfer (FRET)-based genetically encoded biosensors (GEBs). It aims to reduce trial-and-error for researchers developing more sensitive and versatile biosensors.

Keywords:

FRET genetically encoded biosensor ligand domain linker localization signal optimization sensor domain

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Last Updated: Sep 5, 2025

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Published on: September 19, 2017

Area of Science:

Biotechnology
Molecular Biology
Cell Biology

Background:

Fluorescence resonance energy transfer (FRET)-based genetically encoded biosensors (GEBs) are crucial for visualizing cellular dynamics.
The development of Cameleon marked a significant advancement in FRET-based calcium indicators.
Optimizing GEBs is essential for enhanced sensitivity and versatility.

Purpose of the Study:

To consolidate and present various optimization strategies for FRET-based GEBs.
To provide a documented resource for researchers facing challenges in biosensor development.
To highlight potential applications for improved biosensors.

Main Methods:

Systematic review and organization of existing literature on GEB optimization.
Focus on strategies involving the non-fluorescent components of biosensors.
Assembly of documented cases of successful GEB upgrades.

Main Results:

A structured overview of diverse optimization approaches for FRET-based GEBs.
Identification of common challenges and successful methods in biosensor improvement.
Compilation of strategies for enhancing GEB sensitivity and versatility.

Conclusions:

This review serves as a valuable resource for researchers aiming to optimize FRET-based GEBs.
Documented optimization strategies can mitigate the trial-and-error process.
Advancements in GEBs will enable more sophisticated monitoring of cellular dynamics.