A Computational Model of Cellular Engraftment on Lung Scaffolds
| Autor: | Vignesh Rajendran, Bradford J. Smith, Baoshun Ma, Darcy E. Wagner, Jason H. T. Bates, Daniel J. Weiss, Joshua J. Pothen |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Pathology medicine.medical_specialty Scaffold lcsh:Medicine Computational biology Biology General Biochemistry Genetics and Molecular Biology 03 medical and health sciences stem cells medicine Original Research Article Agent-based Model Image Processing Lung Scaffold Stem Cells lcsh:QH301-705.5 Lung Regeneration (biology) lcsh:R Mesenchymal stem cell agent-based model Phenotype image processing 030104 developmental biology medicine.anatomical_structure lung scaffold lcsh:Biology (General) Stem cell Lung tissue |
| Zdroj: | BioResearch Open Access, Vol 5, Iss 1, Pp 308-319 (2016) BioResearch Open Access Biores. Open Access 5, 308-319 (2016) |
| ISSN: | 2164-7860 |
| Popis: | The possibility that stem cells might be used to regenerate tissue is now being investigated for a variety of organs, but these investigations are still essentially exploratory and have few predictive tools available to guide experimentation. We propose, in this study, that the field of lung tissue regeneration might be better served by predictive tools that treat stem cells as agents that obey certain rules of behavior governed by both their phenotype and their environment. Sufficient knowledge of these rules of behavior would then, in principle, allow lung tissue development to be simulated computationally. Toward this end, we developed a simple agent-based computational model to simulate geographic patterns of cells seeded onto a lung scaffold. Comparison of the simulated patterns to those observed experimentally supports the hypothesis that mesenchymal stem cells proliferate preferentially toward the scaffold boundary, whereas alveolar epithelial cells do not. This demonstrates that a computational model of this type has the potential to assist in the discovery of rules of cellular behavior. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|