ReviewCell reports methods2024
Elucidating the spatiotemporal dynamics of glucose metabolism with genetically encoded fluorescent biosensors.
Review in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Solute carrier membrane transporters: emerging targets in CNS disorders.Nature reviews. Drug discovery · 2026Review
- From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.JCI insight · 2026Review
- Measurement of electrochemical brain activity with fast-scan cyclic voltammetry during functional magnetic resonance imaging.Nature protocols · 2026Review
- Live-cell physiology in human brain tissue culture-the potential, the challenges, and the lessons learned.Frontiers in cellular neuroscience · 2026Review
- iGlucoSnFR2: A genetically encoded fluorescent sensor for measuring intracellular or extracellular glucose in vivo in mouse brain.Science advances · 2025Article
- Methods and Guidelines for Metabolism Studies: Applications to Cancer Research.International journal of molecular sciences · 2025Review
- Genetically encoded biosensors of metabolic function for the study of neurodegeneration, a review and perspective.Neurophotonics · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
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.
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Registered trials
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