Evidence map›Paper›PMID 29687344›Full record

ArticleEuropean biophysics journal : EBJ2018

Spatiotemporal relationships defining the adaptive gating of the bacterial mechanosensitive channel MscS.

Uğur Çetiner, Andriy Anishkin, Sergei Sukharev

Abstract read
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In one paragraph

Article in European biophysics journal : EBJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cyclodextrins increase membrane tension and are universal activators of mechanosensitive channels.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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 at 1 institution in 1 country.

Uğur ÇetinerInstitute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA. cetiner.ugur@gmail.com.ORCID http://orcid.org/0000-0002-5267-0749
Andriy AnishkinDepartment of Biology, University of Maryland, College Park, MD, 20742, USA.
Sergei SukharevInstitute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA. sukharev@umd.edu.
University of Maryland, College Park · US

Funding

The bacterial mechanosentitive channel as a multimodal sensor deviceR01GM107652 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI ANISHKIN, ANDRIY, SINTIM, HERMAN O · 2013 to 2016
$1.1M
National Institutes of Health R21AI105655 & RO1GM107652NIGMS NIH HHS R01 GM107652U.S. Department of Education GAANN, Mathematics in Biology Fellowship
6 · The paper itself

Abstract

Adaptive desensitization and inactivation are common properties of most ion channels and receptors. The mechanosensitive channel of small conductance MscS, which serves as a low-threshold osmolyte release valve in most bacteria, inactivates not from the open, but from the resting state under moderate tensions. This mechanism enables the channel to respond differently to slow tension ramps versus abruptly applied stimuli. In this work, we present a reconstruction of the energy landscape for MscS transitions based on patch current kinetics recorded under special pressure protocols. The data are analyzed with a three-state continuous time Markov model, where the tension-dependent transition rates are governed by Arrhenius-type relations. The analysis provides assignments to the intrinsic opening, closing, inactivation, and recovery rates as well as their tension dependencies. These parameters, which define the spatial (areal) distances between the energy wells and the positions of barriers, describe the tension-dependent distribution of the channel population between the three states and predict the experimentally observed dynamic pulse and ramp responses. Our solution also provides an analytic expression for the area of the inactivated state in terms of two experimentally accessible parameters: the tension at which inactivation probability is maximized, γ*, and the midpoint tension for activation, γ

Indexed as

Adaptation, PhysiologicalIon Channel GatingElectrophysiological PhenomenaEscherichia coliEscherichia coli ProteinsIon ChannelsKineticsMarkov ChainsSpatio-Temporal AnalysisEscherichia coli ProteinsIon ChannelsMscS protein, E coliEnergy landscapeMarkov chainsMscSOsmotic fitness

Identifiers

PMID29687344
OpenAlexW2951568476

What OpenQuestion holds

Textmetadata
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.