Evidence map›Paper›PMID 28811673›Full record

ArticleScientific reports2017

Improving a genetically encoded voltage indicator by modifying the cytoplasmic charge composition.

Sungmoo Lee, Tristan Geiller, Arong Jung, Ryuichi Nakajima, Yoon-Kyu Song, Bradley J Baker

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Neurophotonics · 2020
    Article
  16. Article
  17. Review
  18. Genetic voltage indicators.BMC biology · 2019
    Review
  19. Review
  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

6 authors at 3 institutions in 1 country.

Sungmoo LeeThe Center for Functional Connectomics, Korea Institute of Science and Technology, Seoul, South Korea.
Tristan GeillerThe Center for Functional Connectomics, Korea Institute of Science and Technology, Seoul, South Korea.ORCID 0000-0001-8957-7786
Arong JungThe Center for Functional Connectomics, Korea Institute of Science and Technology, Seoul, South Korea.
Ryuichi NakajimaThe Center for Functional Connectomics, Korea Institute of Science and Technology, Seoul, South Korea.ORCID 0000-0002-0024-4422
Yoon-Kyu SongDepartment of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea.
Bradley J BakerThe Center for Functional Connectomics, Korea Institute of Science and Technology, Seoul, South Korea. bradley.baker19@gmail.com.
Korea Institute of Science and Technology · KRKorea University · KRSeoul National University · KR

Funding

New approaches for better protein voltage sensorsU01NS099691 · NINDS · YALE UNIVERSITY · PI COHEN, LAWRENCE B · 2016 to 2018
$2.1M
NINDS NIH HHS U01 NS099691
6 · The paper itself

Abstract

An improved genetically encoded voltage indicator (GEVI) was achieved by altering the charge composition of the region linking the voltage-sensing domain of the GEVI to a pH-sensitive fluorescent protein. Negatively charged linker segments reduced the voltage-dependent optical signal while positively charged linkers increased the signal size. Arginine scanning mutagenesis of the linker region improved the signal size of the GEVI, Bongwoori, yielding fluorescent signals as high as 20% ΔF/F during the firing of action potentials. The speed of this new sensor was also capable of optically resolving action potentials firing at 65 Hz. This large signal size enabled individual pixels to become surrogate electrodes. Plotting the highest correlated pixels based only on fluorescence changes reproduced the image of the neuron exhibiting activity. Furthermore, the use of a pH-sensitive fluorescent protein facilitated the detection of the acidification of the neuron during the firing of action potentials.

Indexed as

Membrane PotentialsAction PotentialsElectrophysiological PhenomenaGene ExpressionGenes, ReporterHEK293 CellsHumansMicroscopy, FluorescenceNeuronsPatch-Clamp TechniquesProtein Interaction Domains and MotifsVoltage-Dependent Anion ChannelsVoltage-Dependent Anion Channels

Identifiers

PMID28811673
PMCPMC5557843
OpenAlexW2743804868

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.