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A Computational Model of Cellular Engraftment on Lung Scaffolds

Pothen, Joshua J.; Rajendran, Vignesh; Wagner, Darcy LU ; Weiss, Daniel J.; Smith, Bradford J.; Ma, Baoshun and Bates, Jason H T (2016) In BioResearch Open Access 5(1). p.308-319
Abstract

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... (More)

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.

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author
publishing date
type
Contribution to journal
publication status
published
keywords
Agent-based model, image processing, lung scaffold, stem cells
in
BioResearch Open Access
volume
5
issue
1
pages
308 - 319
publisher
Mary Ann Liebert Inc.
external identifiers
  • scopus:85008257405
DOI
10.1089/biores.2016.0031
language
English
LU publication?
no
id
51c9dac9-7a5d-4501-a513-197db4ebbaa0
date added to LUP
2017-08-15 14:46:40
date last changed
2017-08-22 16:14:53
@article{51c9dac9-7a5d-4501-a513-197db4ebbaa0,
  abstract     = {<p>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.</p>},
  author       = {Pothen, Joshua J. and Rajendran, Vignesh and Wagner, Darcy and Weiss, Daniel J. and Smith, Bradford J. and Ma, Baoshun and Bates, Jason H T},
  keyword      = {Agent-based model,image processing,lung scaffold,stem cells},
  language     = {eng},
  month        = {10},
  number       = {1},
  pages        = {308--319},
  publisher    = {Mary Ann Liebert Inc.},
  series       = {BioResearch Open Access},
  title        = {A Computational Model of Cellular Engraftment on Lung Scaffolds},
  url          = {http://dx.doi.org/10.1089/biores.2016.0031},
  volume       = {5},
  year         = {2016},
}