Evidence map›Paper›PMID 26370981›Full record

ReviewInternational journal of molecular sciences2015

Genetically Encoded Voltage Indicators in Circulation Research.

Lars Kaestner, Qinghai Tian, Elisabeth Kaiser, Wenying Xian, Andreas Müller, Martin Oberhofer, Sandra Ruppenthal, Daniel Sinnecker, Hidekazu Tsutsui, Atsushi Miyawaki and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  13. Oxygen Sensing, Hypoxia Tracing andFrontiers in chemistry · 2018
    Review
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  15. Article
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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

12 authors at 4 institutions in 2 countries.

Lars KaestnerResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. lars_kaestner@me.com.
Qinghai TianResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. qinghai.tian@uks.eu.
Elisabeth KaiserResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. Elisabeth.Kaiser@uks.eu.
Wenying XianResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. Wenying.Xian@uks.eu.
Andreas MüllerDepartment of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg/Saar 66421, Germany. Andreas.Mueller@uniklinikum-saarland.de.
Martin OberhoferResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. martin.oberhofer@gmx.de.
Sandra RuppenthalResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. Sandra.Ruppenthal@uks.eu.
Daniel SinneckerMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich 81675, Germany. sinnecker@tum.de.
Hidekazu TsutsuiDepartment of Material Science, JAIST, Nomi, Ishikawa 923-1292, Japan. matsushi@brain.riken.go.jp.
Atsushi MiyawakiCell Function Dynamics, Brain Science Institute, RIKEN, Wako 351-0192, Japan. matsushi@brain.riken.go.jp.
Alessandra MorettiMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich 81675, Germany. amoretti@mytum.de.
Peter LippResearch Centre for Molecular Imaging and Screening, Institute for Molecular Cell Biology, Saarland University, Homburg/Saar 66421, Germany. Peter.Lipp@uks.eu.
Saarland University · DETUM Klinikum · DEJapan Advanced Institute of Science and Technology · JPRIKEN Center for Brain Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane potentials display the cellular status of non-excitable cells and mediate communication between excitable cells via action potentials. The use of genetically encoded biosensors employing fluorescent proteins allows a non-invasive biocompatible way to read out the membrane potential in cardiac myocytes and other cells of the circulation system. Although the approaches to design such biosensors date back to the time when the first fluorescent-protein based Förster Resonance Energy Transfer (FRET) sensors were constructed, it took 15 years before reliable sensors became readily available. Here, we review different developments of genetically encoded membrane potential sensors. Furthermore, it is shown how such sensors can be used in pharmacological screening applications as well as in circulation related basic biomedical research. Potentials and limitations will be discussed and perspectives of possible future developments will be provided.

Indexed as

Biosensing TechniquesAction PotentialsAnimalsAnimals, Genetically ModifiedCardiovascular SystemFluorescence Resonance Energy TransferGene ExpressionGenes, ReporterHumansMembrane PotentialsMyocytes, CardiacRecombinant Fusion ProteinsResearchVoltage-Sensitive Dye ImagingRecombinant Fusion Proteinsaction potentialcardiomyocyteGenetically Encoded Voltage Indicators (GEVI)membrane potential

Identifiers

PMID26370981
PMCPMC4613271
OpenAlexW2113240907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.