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.
| Originalsprache | Englisch |
|---|---|
| Titel | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| Seitenumfang | 4 |
| Herausgeber (Verlag) | IEEE |
| Erscheinungsdatum | 01.12.2012 |
| Seiten | 6620-6623 |
| ISBN (Print) | 978-1-4244-4119-8 |
| ISBN (elektronisch) | 978-1-4577-1787-1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.12.2012 |
| Veranstaltung | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, USA / Vereinigte Staaten Dauer: 28.08.2012 → 01.09.2012 |
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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
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