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 |
|---|---|
| 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 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'A computational multiscale model of glioblastoma growth: regulation of cell migration and proliferation via microRNA-451, LKB1 and AMPK.'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver