文献类型：期刊文献

英文题名：Lighting Up Live-Cell and in Vivo Central Carbon Metabolism with Genetically Encoded Fluorescent Sensors

作者：Zhang, Zhuo[1,2]; Cheng, Xiawei[1,2]; Zhao, Yuzheng[1,2]; Yang, Yi[1,3]

机构：[1] Optogenetics and Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Collaborative Innovation Center for Biomanufacturing Technology, Research Unit of Chinese Academy of Medical Sciences, East China University of Science and Technology, Shanghai, 200237, China; [2] Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China; [3] CAS Center for Excellence in Brain Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China

年份：2020

卷号：13

起止页码：293

外文期刊名：Annual Review of Analytical Chemistry

收录：EI(收录号：20202608877559)

语种：英文

外文关键词：Metabolism - Cytology - Carbon - Fluorescence imaging - Biomolecules - Cells

摘要：As the core component of cell metabolism, central carbon metabolism, consisting of glycolysis, the pentose phosphate pathway, and the tricarboxylic acid cycle converts nutrients into metabolic precursors for biomass and energy to sustain the life of virtually all extant species. The metabolite levels or distributions in central carbon metabolism often change dynamically with cell fates, development, and disease progression. However, traditional biochemical methods require cell lysis, making it challenging to obtain spatiotemporal information about metabolites in living cells and in vivo. Genetically encoded fluorescent sensors allow the rapid, sensitive, specific, and real-time readout of metabolite dynamics in living organisms, thereby offering the potential to fill the gap in current techniques. In this review, we introduce recent progress made in the development of genetically encoded fluorescent sensors for central carbon metabolism and discuss their advantages, disadvantages, and applications. Moreover, several future directions of metabolite sensors are also proposed. ? 2020 by Annual Reviews. All rights reserved.