Resource for FRET-Based Biosensor Optimization

Heonsu Kim; Gyuho Choi; Myung Eun Suk; Tae-Jin Kim

doi:10.3389/fcell.2022.885394

Resource for FRET-Based Biosensor Optimization

Front Cell Dev Biol. 2022 Jun 20:10:885394. doi: 10.3389/fcell.2022.885394. eCollection 2022.

Authors

Heonsu Kim¹, Gyuho Choi², Myung Eun Suk³, Tae-Jin Kim^{1

2

4}

Affiliations

¹ Institute of Systems Biology, Pusan National University, Busan, South Korea.
² Department of Integrated Biological Science, Pusan National University, Busan, South Korea.
³ Department of Mechanical Engineering, IT Convergence College of Materials and Components Engineering, Dong-Eui University, Busan, South Korea.
⁴ Department of Biological Sciences, Pusan National University, Busan, South Korea.

Abstract

After the development of Cameleon, the first fluorescence resonance energy transfer (FRET)-based calcium indicator, a variety of FRET-based genetically encoded biosensors (GEBs) have visualized numerous target players to monitor their cell physiological dynamics spatiotemporally. Many attempts have been made to optimize GEBs, which require labor-intensive effort, novel approaches, and precedents to develop more sensitive and versatile biosensors. However, researchers face considerable trial and error in upgrading biosensors because examples and methods of improving FRET-based GEBs are not well documented. In this review, we organize various optimization strategies after assembling the existing cases in which the non-fluorescent components of biosensors are upgraded. In addition, promising areas to which optimized biosensors can be applied are briefly discussed. Therefore, this review could serve as a resource for researchers attempting FRET-based GEB optimization.

Keywords: FRET; genetically encoded biosensor; ligand domain; linker; localization signal; optimization; sensor domain.

Publication types

Review