Zhang Sheng,Ao Bin,Ye Caiyong,et al.A phenomenological model for the dynamics of cell cycle in responding to X-rays[J].Chinese Journal of Radiological Medicine and Protection,2015,35(1):15-22
A phenomenological model for the dynamics of cell cycle in responding to X-rays
Received:October 24, 2014  
DOI:10.3760/cma.j.issn.0254-5098.2015.01.003
KeyWords:DNA repair  G2 arrest  G1 arrest  Computational model  Ionizing radiation
FundProject:This work was supported by grants from National Natural Science Foundations of China (11335011,31370846 and 31400723).
Author NameAffiliationE-mail
Zhang Sheng Department of Space Radiobiology, Key Laboratory of Heavy Ion Radiation Biology and Medicine, Institute of Modern Physics, Chinese Academy of Sciences, China, Lanzhou 730000  
Ao Bin Department of Computational Physics, Institute of Modrn Physics, Chinese Academy of Sciences, Lanzhou  
Ye Caiyong Department of Space Radiobiology, Key Laboratory of Heavy Ion Radiation Biology and Medicine, Institute of Modern Physics, Chinese Academy of Sciences, China, Lanzhou 730000  
Yang Lei Department of Computational Physics, Institute of Modrn Physics, Chinese Academy of Sciences, Lanzhou  
Zhou Guangming Department of Space Radiobiology, Key Laboratory of Heavy Ion Radiation Biology and Medicine, Institute of Modern Physics, Chinese Academy of Sciences, China, Lanzhou 730000 zhougm@impcas.ac.cn 
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Abstract::
      Objective To establish a model to predict the cell-cycle process in response to ionizing radiation.Methods Human choroidal malignant melanoma 92-1 cells were used and the cell cycle distribution of cells was analyzed in 0-96 h after exposure to X-rays. A phenomenological model was constructed based on biological knowledge to describe the cell cycle dynamics in experiments. Results In the present study, a phenomenological model was constructed to describe the cellcycle dynamics of synchronized 92-1 cells in responding to various doses of ionizing radiation. The simulation results obtained with the model were consistent with the experimental data, demonstrating that the model had a good expansibility and could be used to predict the dynamics of cell cycle in responding to ionizing radiation. Further theoretical modeling of the cellcycle dynamics was made and the results were consistent with the simulation. Conclusions A phenomenological model was constructed which could be used to describe the dynamics of cell cycle of cells exposed to ionizing radiation and was supported by the experimental data. Because this model is easy to run by the written code, it has a good expansibility for studying the behaviors of cell populations under various conditions.
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