• DocumentCode
    2157212
  • Title

    Dynamical analysis of the programmed cell death pathway

  • Author

    Carotenuto, Luciano ; Pace, Vincenza ; Bellizzi, Dina ; De Benedictis, Giovanna

  • Author_Institution
    Dept. of Electron., Comput. Sci. & Syst. Sci. Univ. of Calabria, Rende, Italy
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    3747
  • Lastpage
    3754
  • Abstract
    The biochemical processes that lead to the programmed death of the cell (apoptosis) have been studied since a long time. Recently several mathematical models have been proposed, that try to describe the essential features of the pathway. In this paper we consider one of such models and compare two possible scenarios of activation of the apoptotic process: an instantaneous perturbation or a persistent stress, represented respectively by an appropriate initial state or a constant input to the system. The new results here reported are i) the proof that the system with constant input has at least one equilibrium state; ii) the characterization of equilibrium and stability patterns in the presence of the constant input; iii) the analysis of the sensitivity of the dynamic time response both to the intensity of an initial perturbation, and to the level and duration of a persistent stress. Finally, the effect of modulating the level of expression of genes involved in the pathway is analyzed, with the aim of exploring the control mechanism of this crucial process.
  • Keywords
    biochemistry; cellular biophysics; genetics; nonlinear dynamical systems; numerical analysis; apoptosis activation scenarios; biochemical process; constant input; control mechanism; dynamic time response; dynamical analysis; equilibrium state characterization; gene expression level modulation effect; initial perturbation intensity sensitivity; instantaneous perturbation; mathematical model; persistent stress duration sensitivity; persistent stress level sensitivity; programmed cell death pathway; stability pattern characterization; Analytical models; Biological system modeling; Mathematical model; Numerical models; Proteins; Stability analysis; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068411