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基于荧光共振能量转移(FRET)的生物传感器优化资源。

Resource for FRET-Based Biosensor Optimization.

作者信息

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

机构信息

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

Department of Integrated Biological Science, Pusan National University, Busan, South Korea.

出版信息

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

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/473c/9251444/fb8ad1c165b3/fcell-10-885394-g001.jpg

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