Evidence map›Paper›PMID 19450466›Full record

ArticleBiophysical journal2009

A stochastic four-state model of contingent gating of gap junction channels containing two "fast" gates sensitive to transjunctional voltage.

Nerijus Paulauskas, Mindaugas Pranevicius, Henrikas Pranevicius, Feliksas F Bukauskas

Abstract read
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Electrical coupling and its channels.The Journal of general physiology · 2018
    Review
  6. Stochastic Hybrid Systems in Cellular Neuroscience.Journal of mathematical neuroscience · 2018
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Functional effects of Cx50 mutations associated with congenital cataracts.American journal of physiology. Cell physiology · 2014
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  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

4 authors.

Nerijus PaulauskasDominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, The Bronx, New York, USA.
Mindaugas Pranevicius
Henrikas Pranevicius
Feliksas F Bukauskas

Funding

Gap Junction Channels Formation and GatingR01NS036706 · NINDS · YESHIVA UNIVERSITY · PI BUKAUSKAS, FELIKSAS · 1999 to 2007
$2.3M
Connexins and Heart FunctionR01HL084464 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BUKAUSKAS, FELIKSAS · 2007 to 2010
$1.7M
NHLBI NIH HHS R01 HL084464NHLBI NIH HHS R01HL084464NINDS NIH HHS R01 NS036706
6 · The paper itself

Abstract

Connexins, a family of membrane proteins, form gap junction (GJ) channels that provide a direct pathway for electrical and metabolic signaling between cells. We developed a stochastic four-state model describing gating properties of homotypic and heterotypic GJ channels each composed of two hemichannels (connexons). GJ channel contain two "fast" gates (one per hemichannel) oriented opposite in respect to applied transjunctional voltage (V(j)). The model uses a formal scheme of peace-linear aggregate and accounts for voltage distribution inside the pore of the channel depending on the state, unitary conductances and gating properties of each hemichannel. We assume that each hemichannel can be in the open state with conductance gamma(h,o) and in the residual state with conductance gamma(h,res), and that both gamma(h,o) and gamma(h,res) rectifies. Gates can exhibit the same or different gating polarities. Gating of each hemichannel is determined by the fraction of V(j) that falls across the hemichannel, and takes into account contingent gating when gating of one hemichannel depends on the state of apposed hemichannel. At the single-channel level, the model revealed the relationship between unitary conductances of hemichannels and GJ channels and how this relationship is affected by gamma(h,o) and gamma(h,res) rectification. Simulation of junctions containing up to several thousands of homotypic or heterotypic GJs has been used to reproduce experimentally measured macroscopic junctional current and V(j)-dependent gating of GJs formed from different connexin isoforms. V(j)-gating was simulated by imitating several frequently used experimental protocols: 1), consecutive V(j) steps rising in amplitude, 2), slowly rising V(j) ramps, and 3), series of V(j) steps of high frequency. The model was used to predict V(j)-gating of heterotypic GJs from characteristics of corresponding homotypic channels. The model allowed us to identify the parameters of V(j)-gates under which small changes in the difference of holding potentials between cells forming heterotypic junctions effectively modulates cell-to-cell signaling from bidirectional to unidirectional. The proposed model can also be used to simulate gating properties of unapposed hemichannels.

Indexed as

Models, BiologicalAnimalsConnexinsElectric ConductivityGap JunctionsHeLa CellsHumansIon Channel GatingPorosityProtein IsoformsStochastic ProcessesTime FactorsConnexinsProtein Isoforms

Identifiers

PMID19450466
PMCPMC2712155

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.