Kim Heonsu, Choi Gyuho, Suk Myung Eun, Kim Tae-Jin
Institute of Systems Biology, Pusan National University, Busan, South Korea.
Department of Integrated Biological Science, Pusan National University, Busan, South Korea.
Front Cell Dev Biol. 2022 Jun 20;10:885394. doi: 10.3389/fcell.2022.885394. eCollection 2022.
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.
在首个基于荧光共振能量转移(FRET)的钙指示剂“变色龙”开发出来之后,多种基于FRET的基因编码生物传感器(GEB)已可视化了众多目标分子,从而在时空上监测它们的细胞生理动态。人们已进行了许多尝试来优化GEB,这需要耗费大量人力、采用新颖方法并借鉴先例来开发更灵敏、更通用的生物传感器。然而,研究人员在升级生物传感器时面临大量反复试验,因为改进基于FRET的GEB的实例和方法记录并不完善。在本综述中,我们在汇总了生物传感器非荧光成分得到升级的现有案例后,整理了各种优化策略。此外,还简要讨论了优化后的生物传感器可应用的有前景领域。因此,本综述可为尝试进行基于FRET的GEB优化的研究人员提供参考资源。