Evidence map›Paper›PMID 26143170›Full record

ReviewCurrent opinion in chemical biology2015

The evolving capabilities of rhodopsin-based genetically encoded voltage indicators.

Yiyang Gong

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Multiphoton Intravital Calcium Imaging.Current protocols in cytometry · 2018
    Article
  9. Article
  10. Review
  11. Article
  12. Advances in two photon scanning and scanless microscopy technologies for functional neural circuit imaging.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2017
    Article
  13. Review
  14. Genetically Encoded Voltage Indicators: Opportunities and Challenges.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Review
  15. Review
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

1 author.

Yiyang GongDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, United States. Electronic address: yiyang.gong@duke.edu.

Funding

Massively Parallel Brain ImagingDP1OD003560 · OD · STANFORD UNIVERSITY · PI SCHNITZER, MARK J · 2007 to 2011
$3.9M
NIH HHS DP1 OD003560
6 · The paper itself

Abstract

Protein engineering over the past four years has made rhodopsin-based genetically encoded voltage indicators a leading candidate to achieve the task of reporting action potentials from a population of genetically targeted neurons in vivo. Rational design and large-scale screening efforts have steadily improved the dynamic range and kinetics of the rhodopsin voltage-sensing domain, and coupling these rhodopsins to bright fluorescent proteins has supported bright fluorescence readout of the large and rapid rhodopsin voltage response. The rhodopsin-fluorescent protein fusions have the highest achieved signal-to-noise ratios for detecting action potentials in neuronal cultures to date, and have successfully reported single spike events in vivo. Given the rapid pace of current development, the genetically encoded voltage indicator class is nearing the goal of robust spike imaging during live-animal behavioral experiments.

Indexed as

Action PotentialsAnimalsBiosensing TechniquesCells, CulturedFluorescence Resonance Energy TransferFluorescent DyesHumansKineticsLuminescent ProteinsNeuronsRecombinant Fusion ProteinsRhodopsinVoltage-Sensitive Dye ImagingFluorescent DyesLuminescent ProteinsRecombinant Fusion ProteinsRhodopsin

Identifiers

PMID26143170
PMCPMC4571180

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.