• DocumentCode
    3464447
  • Title

    Simulation Analysis of Lateral Propagation Mechanism of EGF Signaling on Cell Surface

  • Author

    Naka, Takashi

  • Author_Institution
    Fac. of Inf. Sci., Kyushu Sangyo Univ., Fukuoka, Japan
  • fYear
    2009
  • fDate
    June 29 2009-July 2 2009
  • Firstpage
    183
  • Lastpage
    188
  • Abstract
    Newly developed microscopic technology has recently made it possible to directly visualize lateral signaling events in a single cell in which the local stimulation of EGFR with EGF yields global phosphorylation of EGFR on the whole cell membrane. The putative feedback mechanism of receptor phosphorylation by ligand-free phosphorylated receptors has been proposed to explain the events. A computational model of the reaction-diffusion system (RD model) on the cell surface is constructed in order to examine the feasibility of this putative feedback mechanism. The simulation analysis reveals that the feedback mechanism in the RD model reproduces the observed lateral signal propagation for the parameter values within the physiologically available range.
  • Keywords
    biological techniques; biology computing; biomembranes; cellular biophysics; proteins; reaction-diffusion systems; EGF signaling; EGFR; cell membrane; cell surface; global phosphorylation; lateral propagation mechanism; lateral signal propagation; lateral signaling events; microscopic technology; phosphorylated receptors; putative feedback mechanism; reaction-diffusion system; receptor phosphorylation; simulation analysis; Analytical models; Biomembranes; Cells (biology); Computational modeling; Extracellular; Feedback; Microscopy; Signal analysis; Signal processing; Visualization; EGFR; computational model; lateral signal propagation; ligand-free phosphorylation; reaction diffusion system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications, 2009. ICCSA '09. International Conference on
  • Conference_Location
    Yongin
  • Print_ISBN
    978-0-7695-3701-6
  • Type

    conf

  • DOI
    10.1109/ICCSA.2009.40
  • Filename
    5260923