| Zhang Sheng,Ao Bin,Ye Caiyong,等.A phenomenological model for the dynamics of cell cycle in responding to X-rays[J].中华放射医学与防护杂志,2015,35(1):15-22.Zhang Sheng,Ao Bin,Ye Caiyong,et al.A phenomenological model for the dynamics of cell cycle in responding to X-rays[J].Chin J Radiol Med Prot,2015,35(1):15-22 |
| A phenomenological model for the dynamics of cell cycle in responding to X-rays |
| A phenomenological model for the dynamics of cell cycle in responding to X-rays |
| 投稿时间：2014-10-24 |
| DOI：10.3760/cma.j.issn.0254-5098.2015.01.003 |
| 中文关键词: DNA repair G2 arrest G1 arrest Computational model Ionizing radiation |
| 英文关键词:DNA repair G2 arrest G1 arrest Computational model Ionizing radiation |
| 基金项目:This work was supported by grants from National Natural Science Foundations of China (11335011,31370846 and 31400723). |
| 作者 | 单位 | E-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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| 中文摘要: |
| 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. |
| 英文摘要: |
| 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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