Lighting Up Live-Cell and In Vivo Central Carbon Metabolism with Genetically Encoded Fluorescent Sensors
Abstract
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.
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Distinguishing between living and dead cells is very difficult nowadays; fluorescence techniques are currently used but are still far from being usable online.
“Since being able to distinguish between living and dead cells is a very difficult task nowadays, fluorescence techniques are currently being used, but these are still far from being able to be used online [53].”
From A turbidity sensor development based on NL-PI observers: Experimental application to the control of a Sinaloa’s River Spirulina maxima cultivation (2020) · cites this paper as [53]
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- Authors
- Zhang, Z., Cheng, X., Zhao, Y., & Yang, Y.
- Affiliations
- East China University of Science and Technology (CN)
- Venue
- Annual Review of Analytical Chemistry
- Publisher
- Annual Reviews
- Published
- 2020-06-12
- Volume
- 13
- Issue
- 1
- Pages
- 293-314
- ISSN
- 1936-1327 (ISSN-L)
- 1936-1335
- OpenAlex
- W3009111158
- Cited by
- 81
- References
- 98
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 15 · 2023: 11 · 2022: 10 · 2021: 15 · 2020: 3
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Analytical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › bioluminescence and chemiluminescence research
- Physical Sciences › Chemistry › Spectroscopy › Molecular Sensors and Ion Detection
- Keywords
- genetically encoded fluorescent sensors, central carbon metabolism, live-cell imaging, in vivo imaging, glycolysis, pentose phosphate pathway, TCA cycle, metabolite dynamics
- MeSH terms
- Carbon, Luminescent Proteins, Biosensing Techniques, Optical Imaging
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