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Borrar filtros Creador Munro Krull, Erin Tema Gap junctions (Cell biology)

  • Why strengthening gap junctions may hinder action potential propagation

    Why strengthening gap junctions may hinder action potential propagation
    Descripción:
    Funding for open access publishing provided by the Tufts Faculty Research Awards Committee (FRAC)
    Tema:
    Gap junctions (Cell biology)
    Creador:
    Munro Krull, Erin and Börgers, Christoph
    Owner:
    nicholas.homenda@tufts.edu
    Editor:
    Tufts University Tisch Library
    Fecha de Subida:
    09/12/2025
    Fecha Modificada:
    09/12/2025
    Fecha de Creacion:
    2024
    Derechos:
    In Copyright - Educational Use Permitted
    Licencia:
    Creative Commons BY Attribution 4.0 International
    Resource Type:
    Article
    Identificador:
    https://doi.org/10.3389/fams.2023.1186333
    Abstract:
    Gap junctions are channels in cell membranes allowing ions to pass directly between cells. They are found throughout the body, including heart myocytes, neurons, and astrocytes. In cardiac tissue and throughout the nervous system, an action potential (AP) in one cell can trigger APs in neighboring cells connected by gap junctions. It is known experimentally that there is an ideal gap junction conductance for AP propagation—lower or higher conductance can lead to propagation failure. We explain this phenomenon geometrically in branching networks by analyzing an idealized model that focuses exclusively on gap junction and AP-generating currents. As expected, the gap junction conductance must be high enough for AP propagation to occur. However, if the gap junction conductance is too high, then it dominates the cell's intrinsic firing conductance and disrupts AP generation. We also identify conditions for semi-active propagation, where cells in the network are not individually excitable but still propagate action potentials.
    Bibliographic Citation:
    Munro Krull, E., & Börgers, C. (2024). Why strengthening gap junctions may hinder action potential propagation. Frontiers in Applied Mathematics and Statistics, 9, 1186333. https://doi.org/10.3389/fams.2023.1186333
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