title: Analysis of cell cycle dynamics using probabilistic cell cycle models.
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 G(2)/M phases.
authors.affiliation: Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA. exg44@case.edu
authors.forename: Evren
authors.initials: E
authors.lastname: Gurkan-Cavusoglu
authors.forename: Jane E
authors.initials: JE
authors.lastname: Schupp
authors.forename: Timothy J
authors.initials: TJ
authors.lastname: Kinsella
authors.forename: Kenneth A
authors.initials: KA
authors.lastname: Loparo
mesh_terms: D002453:Cell Cycle; D045744:Cell Line, Tumor; D003110:Colonic Neoplasms / Q000473:pathology* / Q000503:physiopathology*; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical