文献类型：期刊文献

英文题名：Elucidating the spatiotemporal dynamics of glucose metabolism with genetically encoded fluorescent biosensors

作者：Li, Xie[1,2];Wen, Xueyi[2];Tang, Weitao[1];Wang, Chengnuo[1];Chen, Yaqiong[1];Yang, Yi[1];Zhang, Zhuo[1,2];Zhao, Yuzheng[1,2]

机构：[1]East China Univ Sci & Technol, Optogenet & Synthet Biol Interdisciplinary Res Ctr, Shanghai Frontiers Sci Ctr Optogenet Tech Cell Met, Sch Pharm,State Key Lab Bioreactor Engn, 130 Mei Long Rd, Shanghai 200237, Peoples R China;[2]Chinese Acad Med Sci, Res Unit New Tech Live Cell Metab Imaging, Beijing 100730, Peoples R China

年份：2024

卷号：4

期号：11

外文期刊名：CELL REPORTS METHODS

收录：WOS:【ESCI(收录号:WOS:001360536800001)】；

基金：We apologize that some works on glucose metabolism and the related sensors are not cited due to space constraints. This research is supported by the National Key Research and Development Program of China (2019YFA0904800 and 2023YFA1802000) , NSFC (32030065, 32150030, 32394001, 32121005, 92049304, and 32471361) , the Natural Science Foundation of Shanghai (23ZR1415800) , the Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, the Research Unit of New Techniques for Live-cell Metabolic Imaging (Chinese Academy of Medical Sciences, 2019-I2M-5-013) , the State Key Laboratory of Bioreactor Engineering, and the Fundamental Research Funds for the Central Universities.

语种：英文

摘要：Glucose metabolism has been well understood for many years, but some intriguing questions remain regarding the subcellular distribution, transport, and functions of glycolytic metabolites. To address these issues, a living cell metabolic monitoring technology with high spatiotemporal resolution is needed. Genetically encoded fluorescent sensors can achieve specific, sensitive, and spatiotemporally resolved metabolic monitoring in living cells and in vivo, and dozens of glucose metabolite sensors have been developed recently. Here, we highlight the importance of tracking specific intermediate metabolites of glycolysis and glycolytic flux measurements, monitoring the spatiotemporal dynamics, and quantifying metabolite abundance. We then describe the working principles of fluorescent protein sensors and summarize the existing biosensors and their application in understanding glucose metabolism. Finally, we analyze the remaining challenges in developing high-quality biosensors and the huge potential of biosensor-based metabolic monitoring at multiple spatiotemporal scales.