Evidence map›Paper›PMID 26368656›Full record

ReviewChannels (Austin, Tex.)2015

How to resolve microsecond current fluctuations in single ion channels: the power of beta distributions.

Indra Schroeder

Abstract readReview
In one paragraph

Review in Channels (Austin, Tex.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Similarity of the ion occupations of KChannels (Austin, Tex.) · 2026
    Article
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  3. Article
  4. Article
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  7. Article
  8. Asymmetric Interplay Between KFrontiers in physiology · 2021
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Single-channel recordings of RyR1 at microsecond resolution in CMOS-suspended membranes.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  14. 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

1 author.

Indra Schroedera Plant Membrane Biophysics, Technical University of Darmstadt ; Darmstadt , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A main ingredient for the understanding of structure/function correlates of ion channels is the quantitative description of single-channel gating and conductance. However, a wealth of information provided from fast current fluctuations beyond the temporal resolution of the recording system is often ignored, even though it is close to the time window accessible to molecular dynamics simulations. This kind of current fluctuations provide a special technical challenge, because individual opening/closing or blocking/unblocking events cannot be resolved, and the resulting averaging over undetected events decreases the single-channel current. Here, I briefly summarize the history of fast-current fluctuation analysis and focus on the so-called "beta distributions." This tool exploits characteristics of current fluctuation-induced excess noise on the current amplitude histograms to reconstruct the true single-channel current and kinetic parameters. A guideline for the analysis and recent applications demonstrate that a construction of theoretical beta distributions by Markov Model simulations offers maximum flexibility as compared to analytical solutions.

Indexed as

Action PotentialsAlgorithmsAnimalsHumansIon Channel GatingPatch-Clamp TechniquesPotassium ChannelsPotassium Channelsdistributionfast blockfast current fluctuationsfast gatingflickery gatingopen-channel noiserate constantsskewed amplitude histogramtrue single-channel currentβ

Identifiers

PMID26368656
PMCPMC4826091

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.