• DocumentCode
    2462250
  • Title

    Analysis of cell cycle dynamics using probabilistic cell cycle models

  • Author

    Gurkan-Cavusoglu, Evren ; Schupp, Jane E. ; Kinsella, Timothy J. ; Loparo, Kenneth A.

  • Author_Institution
    Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106 USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    In this study, we develop asynchronous probabilistic cell cycle models to quantitatively assess the effect of ionizing radiation on a human colon cancer cell line. We use both synchronous and asynchronous cell populations and follow treated cells for up to 2 cell cycle times. The model outputs quantify the changes in cell cycle dynamics following ionizing radiation treatment, principally in the duration of both Gi and G2/M phases.
  • Keywords
    Biological system modeling; Equations; Kinetic theory; Maintenance engineering; Mathematical model; Probabilistic logic; Steady-state; Cell Cycle; Cell Line, Tumor; Colonic Neoplasms; Computer Simulation; Humans; Models, Biological; Models, Statistical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6089914
  • Filename
    6089914
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2462250