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
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6089914
