Schuetz Tina A, Becker Stefan, Mang Andreas, Toma Alina, Buzug Thorsten M
Institute of Medical Engineering, University of Luebeck, 23562 Luebeck, Germany.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6620-3. doi: 10.1109/EMBC.2012.6347512.
A new computational multiscale model of glioblastoma growth is introduced. This model combines an agent-based model for representing processes on the cellular level with a molecular interaction network for each cell on the subcellular scale. The network is based on recently published work on the interaction of microRNA-451, LKB1 and AMPK in the regulation of glioblastoma cell migration and proliferation. We translated this network into a mathematical description by the use of 17 ordinary differential equations. In our model, we furthermore establish a link from the molecular interaction network of a single cell to cellular actions (e.g. chemotactic movement) on the microscopic level. First results demonstrate that the computational model reproduces a tumor cell development comparable to that observed in in vitro experiments.
引入了一种新的胶质母细胞瘤生长计算多尺度模型。该模型将用于表示细胞水平过程的基于代理的模型与亚细胞尺度上每个细胞的分子相互作用网络相结合。该网络基于最近发表的关于微小RNA - 451、LKB1和AMPK在胶质母细胞瘤细胞迁移和增殖调控中的相互作用的研究。我们通过使用17个常微分方程将这个网络转化为数学描述。在我们的模型中,我们还在单个细胞的分子相互作用网络与微观层面的细胞行为(如趋化运动)之间建立了联系。初步结果表明,该计算模型再现了与体外实验中观察到的肿瘤细胞发育相当的情况。