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.
|Title of host publication||2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Number of pages||4|
|Publication status||Published - 01.12.2012|
|Event||2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, United States|
Duration: 28.08.2012 → 01.09.2012