ArticleNeurophotonics2014
Single-cell imaging tools for brain energy metabolism: a review.
Article in Neurophotonics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 57 citations in OpenAlex.
- Genetically Encoded Metabolic Sensors to Study Retina Metabolism.Advances in experimental medicine and biology · 2025Review
- Glial metabolism versatility regulates mushroom body-driven behavioral output inLearning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Variable bioenergetic sensitivity of neurons and astrocytes to insulin and extracellular glucose.npj metabolic health and disease · 2024Article
- Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals.Biology open · 2023Article
- Review on data analysis methods for mesoscale neural imagingNeurophotonics · 2022Article
- Article
- How Energy Supports Our Brain to Yield Consciousness: Insights From Neuroimaging Based on the Neuroenergetics Hypothesis.Frontiers in systems neuroscience · 2021Review
- Fluorescent Biosensors for Neuronal Metabolism and the Challenges of Quantitation.Current opinion in neurobiology · 2020Review
- Article
- A Dual Nanosensor Approach to Determine the Cytosolic Concentration of ATP in Astrocytes.Frontiers in cellular neuroscience · 2020Article
- Tight coupling of astrocyte energy metabolism to synaptic activity revealed by genetically encoded FRET nanosensors in hippocampal tissue.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019Article
- Evaluating Cell Metabolism Through Autofluorescence Imaging of NAD(P)H and FAD.Antioxidants & redox signaling · 2019Review
- Interrogating metabolism as an electron flow system.Current opinion in systems biology · 2019Review
- Article
- Review
- Insights into the HyPer biosensor as molecular tool for monitoring cellular antioxidant capacity.Redox biology · 2018Article
- Guidelines on experimental methods to assess mitochondrial dysfunction in cellular models of neurodegenerative diseases.Cell death and differentiation · 2018Review
- Intravitreal AAV-Delivery of Genetically Encoded Sensors Enabling Simultaneous Two-Photon Imaging and Electrophysiology of Optic Nerve Axons.Frontiers in cellular neuroscience · 2018Article
- Novel genetically encoded fluorescent probes enable real-time detection of potassium in vitro and in vivo.Nature communications · 2017Article
- Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurophotonics comes to light at a time in which advances in microscopy and improved calcium reporters are paving the way toward high-resolution functional mapping of the brain. This review relates to a parallel revolution in metabolism. We argue that metabolism needs to be approached both in vitro and in vivo, and that it does not just exist as a low-level platform but is also a relevant player in information processing. In recent years, genetically encoded fluorescent nanosensors have been introduced to measure glucose, glutamate, ATP, NADH, lactate, and pyruvate in mammalian cells. Reporting relative metabolite levels, absolute concentrations, and metabolic fluxes, these sensors are instrumental for the discovery of new molecular mechanisms. Sensors continue to be developed, which together with a continued improvement in protein expression strategies and new imaging technologies, herald an exciting era of high-resolution characterization of metabolism in the brain and other organs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.