Evidence map›Paper›PMID 23250867›Full record

ArticleThe Journal of general physiology2013

A linkage analysis toolkit for studying allosteric networks in ion channels.

Daniel Sigg

Abstract read
In one paragraph

Article in The Journal of general physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Microcanonical coarse-graining of the kinetic Ising model.The Journal of chemical physics · 2020
    Article
  9. Article
  10. Gating currents.The Journal of general physiology · 2018
    Review
  11. Functional heterogeneity of the four voltage sensors of a human L-type calcium channel.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  12. Article
  13. Article
  14. Modeling ion channels: past, present, and future.The Journal of general physiology · 2014
    Review
  15. Article
  16. Review
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Daniel SiggdPET, Spokane, WA 99223, USA. dansigg@gmail.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A thermodynamic approach to studying allosterically regulated ion channels such as the large-conductance voltage- and Ca(2+)-dependent (BK) channel is presented, drawing from principles originally introduced to describe linkage phenomena in hemoglobin. In this paper, linkage between a principal channel component and secondary elements is derived from a four-state thermodynamic cycle. One set of parallel legs in the cycle describes the "work function," or the free energy required to activate the principal component. The second are "lever operations" activating linked elements. The experimental embodiment of this linkage cycle is a plot of work function versus secondary force, whose asymptotes are a function of the parameters (displacements and interaction energies) of an allosteric network. Two essential work functions play a role in evaluating data from voltage-clamp experiments. The first is the conductance Hill energy W(H)([g]), which is a "local" work function for pore activation, and is defined as kT times the Hill transform of the conductance (G-V) curve. The second is the electrical capacitance energy W(C)([q]), representing "global" gating charge displacement, and is equal to the product of total gating charge per channel times the first moment (V(M)) of normalized capacitance (slope of Q-V curve). Plots of W(H)([g]) and W(C)([q]) versus voltage and Ca(2+) potential can be used to measure thermodynamic parameters in a model-independent fashion of the core gating constituents (pore, voltage-sensor, and Ca(2+)-binding domain) of BK channel. The method is easily generalized for use in studying other allosterically regulated ion channels. The feasibility of performing linkage analysis from patch-clamp data were explored by simulating gating and ionic currents of a 17-particle model BK channel in response to a slow voltage ramp, which yielded interaction energies deviating from their given values in the range of 1.3 to 7.2%.

Indexed as

Models, BiologicalThermodynamicsAllosteric RegulationAnimalsHemoglobinsHumansIon Channel GatingIon ChannelsLarge-Conductance Calcium-Activated Potassium ChannelsPatch-Clamp TechniquesHemoglobinsIon ChannelsLarge-Conductance Calcium-Activated Potassium Channels

Identifiers

PMID23250867
PMCPMC3536525

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LicenceCC BY-NC-SA
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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.