Abstract
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.
Original language | English |
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Title of host publication | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 01.12.2012 |
Pages | 6620-6623 |
ISBN (Print) | 978-1-4244-4119-8 |
ISBN (Electronic) | 978-1-4577-1787-1 |
DOIs | |
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 |