Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model.
Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model.
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DOI：
10.1155/2017/2954351
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发表时间：
2017
影响因子：
--
通讯作者：
Peng G
中科院分区：
文献类型：
--
作者：
Peng Y;Scott P;Tao R;Wang H;Wu Y;Peng G
细胞周期控制的分子电路作为一个关键枢纽，将内源性和环境信号整合到驱动细胞生长和分裂的强大生物决策中。细胞周期控制功能障碍在广泛的人类癌症中突出显示。更重要的是，主流抗癌治疗如放射疗法和化学疗法通过引起DNA损伤、细胞周期停滞和细胞死亡来靶向癌细胞中不受控制的细胞增殖的标志。鉴于细胞周期调控的重要性，驱动细胞分裂的调控机制已经通过常规的单基因方法在大量的研究中得到了广泛的研究。然而，细胞周期控制的复杂性使得在网络水平上理解其功能成为一个重大障碍。在这项研究中，我们通过现代图论和微分方程系统使用数学建模。我们相信我们的网络进化模型可以帮助我们理解肿瘤进化中的动态细胞周期控制，并优化针对细胞周期的放射治疗和化疗的给药方案。
The molecular circuits of cell cycle control serve as a key hub to integrate from endogenous and environmental signals into a robust biological decision driving cell growth and division. Dysfunctional cell cycle control is highlighted in a wide spectrum of human cancers. More importantly the mainstay anticancer treatment such as radiation therapy and chemotherapy targets the hallmark of uncontrolled cell proliferation in cancer cells by causing DNA damage, cell cycle arrest, and cell death. Given the functional importance of cell cycle control, the regulatory mechanisms that drive the cell division have been extensively investigated in a huge number of studies by conventional single-gene approaches. However the complexity of cell cycle control renders a significant barrier to understand its function at a network level. In this study, we used mathematical modeling through modern graph theory and differential equation systems. We believe our network evolution model can help us understand the dynamic cell cycle control in tumor evolution and optimizing dosing schedules for radiation therapy and chemotherapy targeting cell cycle.