Evidence map›Paper›PMID 22851676›Full record

ArticleThe Journal of general physiology2012

A data-driven model of a modal gated ion channel: the inositol 1,4,5-trisphosphate receptor in insect Sf9 cells.

Ghanim Ullah, Don-On Daniel Mak, John E Pearson

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Modelling ion channels with a view towards identifiability.Bulletin of mathematical biology · 2025
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  2. A CaJournal of mathematical biology · 2025
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  3. Article
  4. Upregulated CaCells · 2022
    Article
  5. Article
  6. Article
  7. Article
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  10. Emergence of ion channel modal gating from independent subunit kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Modelling modal gating of ion channels with hierarchical Markov models.Proceedings. Mathematical, physical, and engineering sciences · 2016
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Multiscale modelling of saliva secretion.Mathematical biosciences · 2014
    Article
  18. Article
  19. Article
  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

3 authors at 2 institutions in 1 country.

Ghanim UllahTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87544, USA.
Don-On Daniel Mak
John E Pearson
Los Alamos National Laboratory · USUniversity of Pennsylvania · US

Funding

Multi-scale observation and modeling of IP3/Ca signalingR01GM065830 · NIGMS · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI MAK, DON-ON DANIEL, PARKER, IAN · 2002 to 2017
$10.7M
NIGMS NIH HHS 5R01GM065830-08NIGMS NIH HHS R01 GM065830
6 · The paper itself

Abstract

The inositol 1,4,5-trisphosphate (IP(3)) receptor (IP(3)R) channel is crucial for the generation and modulation of intracellular Ca(2+) signals in animal cells. To gain insight into the complicated ligand regulation of this ubiquitous channel, we constructed a simple quantitative continuous-time Markov-chain model from the data. Our model accounts for most experimentally observed gating behaviors of single native IP(3)R channels from insect Sf9 cells. Ligand (Ca(2+) and IP(3)) dependencies of channel activity established six main ligand-bound channel complexes, where a complex consists of one or more states with the same ligand stoichiometry and open or closed conformation. Channel gating in three distinct modes added one complex and indicated that three complexes gate in multiple modes. This also restricted the connectivity between channel complexes. Finally, latencies of channel responses to abrupt ligand concentration changes defined a model with specific network topology between 9 closed and 3 open states. The model with 28 parameters can closely reproduce the equilibrium gating statistics for all three gating modes over a broad range of ligand concentrations. It also captures the major features of channel response latency distributions. The model can generate falsifiable predictions of IP(3)R channel gating behaviors and provide insights to both guide future experiment development and improve IP(3)R channel gating analysis. Maximum likelihood estimates of the model parameters and of the parameters in the De Young-Keizer model yield strong statistical evidence in favor of our model. Our method is simple and easily applicable to the dynamics of other ion channels and molecules.

Indexed as

Ion Channel GatingModels, NeurologicalAnimalsBinding SitesCalciumInositol 1,4,5-TrisphosphateInositol 1,4,5-Trisphosphate ReceptorsKineticsLigandsProtein ConformationSf9 CellsSpodopteraCalciumInositol 1,4,5-TrisphosphateInositol 1,4,5-Trisphosphate ReceptorsLigands

Identifiers

PMID22851676
PMCPMC3409100
OpenAlexW2147823849

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.