Evidence map›Paper›PMID 32559637›Full record

ReviewCurrent opinion in neurobiology2020

Fluorescent Biosensors for Neuronal Metabolism and the Challenges of Quantitation.

Dorothy Koveal, Carlos Manlio Díaz-García, Gary Yellen

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Review
  3. Inorganic phosphate and the rapid mobilization of metabolic energy in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Activity-dependent citrate dynamics in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Review
  14. Mechanism and application of thiol-disulfide redox biosensors with a fluorescence-lifetime readout.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. State-dependent motion of a genetically encoded fluorescent biosensor.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dorothy KovealDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Carlos Manlio Díaz-GarcíaDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Gary YellenDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA. Electronic address: gary_yellen@hms.harvard.edu.

Funding

High-throughput optimization of genetically-encoded fluorescent biosensorsR01GM124038 · NIGMS · HARVARD MEDICAL SCHOOL · PI YELLEN, GARY I · 2017 to 2025
$2.5M
Mechanisms of seizure resistance in a mouse genetic model with altered metabolismR01NS102586 · NINDS · HARVARD MEDICAL SCHOOL · PI YELLEN, GARY I · 2018 to 2022
$1.9M
Novel platforms for development of optimized genetically encoded fluorescent biosensorsF32GM123577 · NIGMS · HARVARD MEDICAL SCHOOL · PI KOVEAL, DOROTHY · 2017 to 2019
$190k
Defining the cellular metabolic responses to brain activity using fluorescent biosensorsF32NS100331 · NINDS · HARVARD MEDICAL SCHOOL · PI DIAZ GARCIA, CARLOS MANLIO · 2017 to 2019
$190k
NIGMS NIH HHS F32 GM123577NIGMS NIH HHS R01 GM124038NINDS NIH HHS F32 NS100331NINDS NIH HHS R01 NS102586
6 · The paper itself

Abstract

Over the past decade, genetically encoded fluorescent biosensors that report metabolic changes have become valuable tools for understanding brain metabolism. These sensors have been targeted to specific brain regions and cell types in different organisms to track multiple metabolic processes at single cell (and subcellular) resolution. Here, we review genetically encoded biosensors used to study metabolism in the brain. We particularly focus on the principles needed to use these sensors quantitatively while avoiding false inferences from variations in sensor fluorescence that arise from differences in expression level or environmental influences such as pH or temperature.

Indexed as

Biosensing TechniquesFluorescence Resonance Energy TransferNeurons

Identifiers

PMID32559637
PMCPMC7646541

What OpenQuestion holds

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Registered trials

None linked

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.