Literature DB >> 12566223

The electrophysiology of gap junctions and gap junction channels and their mathematical modelling.

Rolf Vogel1, Robert Weingart.   

Abstract

In most tissues of vertebrates, gap junctions control the exchange of ions and small molecules between adjacent cells, thus co-ordinating the cellular activities. The application of the dual voltage-clamp method to cell pair preparations enables one to elucidate the electrical properties of gap junctions and gap junction channels. The conductive and kinetic data obtained at the multichannel and single channel level led to a generalised concept for the operation of gap junction channels. Based on the biological data gained in this way, a mathematical model has been developed. This model is versatile and allows to simulate the electrophysiological behaviour of different types of vertebrate gap junctions.

Mesh:

Year:  2002        PMID: 12566223     DOI: 10.1016/s0248-4900(02)00022-9

Source DB:  PubMed          Journal:  Biol Cell        ISSN: 0248-4900            Impact factor:   4.458


  7 in total

1.  Subconductance states of Cx30 gap junction channels: data from transfected HeLa cells versus data from a mathematical model.

Authors:  Rolf Vogel; Virginijus Valiunas; Robert Weingart
Journal:  Biophys J       Date:  2006-06-16       Impact factor: 4.033

Review 2.  Gap junction channels and cardiac impulse propagation.

Authors:  Thomas Desplantez; Emmanuel Dupont; Nicholas J Severs; Robert Weingart
Journal:  J Membr Biol       Date:  2007-07-28       Impact factor: 1.843

Review 3.  Gap junctional communication in morphogenesis.

Authors:  Michael Levin
Journal:  Prog Biophys Mol Biol       Date:  2007-03-16       Impact factor: 3.667

4.  Illuminating Myocyte-Fibroblast Homotypic and Heterotypic Gap Junction Dynamics Using Dynamic Clamp.

Authors:  Tashalee R Brown; Trine Krogh-Madsen; David J Christini
Journal:  Biophys J       Date:  2016-08-23       Impact factor: 4.033

5.  The gap junction protein connexin 43 controls multiple aspects of cranial neural crest cell development.

Authors:  Karyn Jourdeuil; Lisa A Taneyhill
Journal:  J Cell Sci       Date:  2020-02-20       Impact factor: 5.285

6.  Properties of cardiac conduction in a cell-based computational model.

Authors:  Karoline Horgmo Jæger; Andrew G Edwards; Andrew McCulloch; Aslak Tveito
Journal:  PLoS Comput Biol       Date:  2019-05-31       Impact factor: 4.475

7.  Analyzing the effects of gap junction blockade on neural synchrony via a motoneuron network computational model.

Authors:  Heraldo Memelli; Kyle G Horn; Larry D Wittie; Irene C Solomon
Journal:  Comput Intell Neurosci       Date:  2012-12-04
  7 in total

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