• DocumentCode
    2377015
  • Title

    Simulation of a presynaptic nerve terminal with a tethered particle system model

  • Author

    Goldstein, Rhys ; Wainer, Gabriel

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3877
  • Lastpage
    3880
  • Abstract
    Presynaptic nerve terminals are located at the ends of nerve cells; a signal propagating through a nerve cell reaches one of these compartments before being transmitted to an adjacent nerve cell. A tethered particle system (TPS) is a type of impulse-based model recently developed for the simulation of deformable biological structures. In a TPS, collisions can cause approaching particles to rebound outwards, as one would expect, but they can also caused separating particles to retract inwards. This paper demonstrates how a TPS can be used to simulate biological systems by presenting its application to a presynaptic nerve terminal. The model captures the clustering of sacs called vesicles in the presence of protein called synapsin. Both rigid and deformable membranes are also described. The simulated presynaptic nerve terminal may be used, for example, to predict how a change in synapsin concentration affects the size of vesicle clusters.
  • Keywords
    biomembranes; cellular biophysics; neurophysiology; physiological models; proteins; impulse-based model; membranes; nerve cells; presynaptic nerve terminal; protein; synapsin; tethered particle system model; vesicles; Action Potentials; Algorithms; Animals; Biophysics; Computer Simulation; Humans; Ion Channel Gating; Models, Biological; Models, Molecular; Nerve Endings; Neurons; Patch-Clamp Techniques; Presynaptic Terminals; Synapsins; Synaptic Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332639
  • Filename
    5332639