Evidence map›Paper›PMID 26079047›Full record

ReviewCurrent opinion in chemical biology2015

Designs and sensing mechanisms of genetically encoded fluorescent voltage indicators.

François St-Pierre, Mariya Chavarha, Michael Z Lin

Abstract readReview
PubMed Full text at PMC Publisher
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 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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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.

François St-PierreDepartment of Pediatrics, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA.
Mariya ChavarhaDepartment of Pediatrics, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA.
Michael Z LinDepartment of Pediatrics, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA. Electronic address: mzlin@stanford.edu.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI COVERT, MARKUS W · 2013 to 2017
$10.9M
Protein voltage sensors: kilohertz imaging of neural dynamics in behaving animalsU01NS090600 · NINDS · STANFORD UNIVERSITY · PI LIN, MICHAEL Z., SCHNITZER, MARK J · 2014 to 2016
$2.8M
NIGMS NIH HHS P50 GM107615NINDS NIH HHS 1U01NS090600-01NINDS NIH HHS U01 NS090600
6 · The paper itself

Abstract

Neurons tightly regulate the electrical potential difference across the plasma membrane with millivolt accuracy and millisecond resolution. Membrane voltage dynamics underlie the generation of an impulse, the transduction of impulses from one end of the neuron to the other, and the release of neurotransmitters. Imaging these voltage dynamics in multiple neurons simultaneously is therefore crucial for understanding how neurons function together within circuits in intact brains. Genetically encoded fluorescent voltage sensors have long been desired to report voltage in defined subsets of neurons with optical readout. In this review, we discuss the diverse strategies used to design and optimize protein-based voltage sensors, and highlight the chemical mechanisms by which different classes of reporters sense voltage. To guide neuroscientists in choosing an appropriate sensor for their applications, we also describe operating trade-offs of each class of voltage indicators.

Indexed as

Action PotentialsAnimalsBiosensing TechniquesCell MembraneFluorescent DyesHumansLuminescent ProteinsNeuronsProtein BindingVoltage-Sensitive Dye ImagingFluorescent DyesLuminescent Proteins

Identifiers

PMID26079047
PMCPMC4553077

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.