Evidence map›Paper›PMID 27353445›Full record

ArticleThe Journal of general physiology2016

Improved resolution of single channel dwell times reveals mechanisms of binding, priming, and gating in muscle AChR.

Nuriya Mukhtasimova, Corrie J B daCosta, Steven M Sine

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Hidden complexity of α7 nicotinic acetylcholine receptor desensitization revealed by MD simulations and Markov state modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. State-dependent energetics of GABABiophysical journal · 2024
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  9. Article
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. A single historical substitution drives an increase in acetylcholine receptor complexity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Nuriya MukhtasimovaReceptor Biology Laboratory, Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, MN 55905.
Corrie J B daCostaReceptor Biology Laboratory, Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, MN 55905.
Steven M SineReceptor Biology Laboratory, Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, MN 55905 Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905 Department of Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN 55905 sine@mayo.edu.
Mayo Clinic · US

Funding

STRUCTURE/FUNCTION OF THE ACETYLCHOLINE RECEPTORR01NS031744 · NINDS · MAYO CLINIC ROCHESTER · PI SINE, STEVEN M · 1992 to 2023
$7.3M
Structure and Function of the Acetylcholine ReceptorR37NS031744 · NINDS · MAYO CLINIC ROCHESTER · PI SINE, STEVEN M · 2001 to 2007
$4.1M
NINDS NIH HHS R01 NS031744NINDS NIH HHS R37 NS031744
6 · The paper itself

Abstract

The acetylcholine receptor (AChR) from vertebrate skeletal muscle initiates voluntary movement, and its kinetics of activation are crucial for maintaining the safety margin for neuromuscular transmission. Furthermore, the kinetic mechanism of the muscle AChR serves as an archetype for understanding activation mechanisms of related receptors from the Cys-loop superfamily. Here we record currents through single muscle AChR channels with improved temporal resolution approaching half an order of magnitude over our previous best. A range of concentrations of full and partial agonists are used to elicit currents from human wild-type and gain-of-function mutant AChRs. For each agonist-receptor combination, rate constants are estimated from maximum likelihood analysis using a kinetic scheme comprised of agonist binding, priming, and channel gating steps. The kinetic scheme and rate constants are tested by stochastic simulation, followed by incorporation of the experimental step response, sampling rate, background noise, and filter bandwidth. Analyses of the simulated data confirm all rate constants except those for channel gating, which are overestimated because of the established effect of noise on the briefest dwell times. Estimates of the gating rate constants were obtained through iterative simulation followed by kinetic fitting. The results reveal that the agonist association rate constants are independent of agonist occupancy but depend on receptor state, whereas those for agonist dissociation depend on occupancy but not on state. The priming rate and equilibrium constants increase with successive agonist occupancy, and for a full agonist, the forward rate constant increases more than the equilibrium constant; for a partial agonist, the forward rate and equilibrium constants increase equally. The gating rate and equilibrium constants also increase with successive agonist occupancy, but unlike priming, the equilibrium constants increase more than the forward rate constants. As observed for a full and a partial agonist, the gain-of-function mutation affects the relationship between rate and equilibrium constants for priming but not for channel gating. Thus, resolving brief single channel currents distinguishes priming from gating steps and reveals how the corresponding rate and equilibrium constants depend on agonist occupancy.

Indexed as

Cell LineHumansIon Channel GatingMolecular Dynamics SimulationMuscle, SkeletalPatch-Clamp TechniquesProtein BindingReceptors, CholinergicReceptors, Cholinergic

Identifiers

PMID27353445
PMCPMC4924934
OpenAlexW2467761212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.