• DocumentCode
    3177116
  • Title

    Network-level dynamics of diffusively coupled cells

  • Author

    Waldherr, Steffen ; Allgower, F.

  • Author_Institution
    Inst. for Syst. Theor. & Autom. Control, Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    5517
  • Lastpage
    5522
  • Abstract
    We study molecular dynamics within populations of diffusively coupled cells under the assumption of fast diffusive exchange. As a technical tool, we propose conditions on boundedness and ultimate boundedness for systems with a singular perturbation, which extend the classical asymptotic stability results for singularly perturbed systems. Based on these results, we show that with common models of intracellular dynamics, the cell population is coordinated in the sense that all cells converge close to a common equilibrium point. We then study a more specific example of coupled cells which behave as bistable switches, where the intracellular dynamics are such that cells may be in one of two equilibrium points. Here, we find that the whole population is bistable in the sense that it converges to a population state where either all cells are close to the one equilibrium point, or all cells are close to the other equilibrium point. Finally, we discuss applications of these results for the robustness of cellular decision making in coupled populations.
  • Keywords
    asymptotic stability; biology; cellular biophysics; molecular biophysics; singularly perturbed systems; asymptotic stability; bistable switch; cell population; cellular decision making; coupled population; diffusive exchange; diffusively coupled cell; intracellular dynamics; molecular dynamics; network-level dynamics; singular perturbation; singularly perturbed system; ultimate boundedness; Eigenvalues and eigenfunctions; Equations; Extracellular; Mathematical model; Sociology; Statistics; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426705
  • Filename
    6426705