An agent-based model approach to multi-phase life-cycle for contact inhibited, anchorage dependent cells

Ross Hoehn, Ashley M. Schreder, Mohammed Fayez Al Rez, Sabre Kais

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Cellular agent-based models are a technique that can be easily adapted to describe nuances of a particular cell type. Within we have concentrated on the cellular particularities of the human Endothelial Cell, explicitly the effects both of anchorage dependency and of heightened scaffold binding on the total confluence time of a system. By expansion of a discrete, homogeneous, asynchronous cellular model to account for several states per cell (phases within a cell’s life); we accommodate and track dependencies of confluence time and population dynamics on these factors. Increasing the total motility time, analogous to weakening the binding between lattice and cell, affects the system in unique ways from increasing the average cellular velocity; each degree of freedom allows for control over the time length the system achieves logistic growth and confluence. These additional factors may allow for greater control over behaviors of the system. Examinations of system’s dependence on both seed state velocity and binding are also enclosed.

Original languageEnglish
Pages (from-to)312-322
Number of pages11
JournalInterdisciplinary Sciences: Computational Life Sciences
Volume6
Issue number4
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Fingerprint

Life Cycle Stages
Life cycle
Population dynamics
Endothelial cells
Degrees of freedom (mechanics)
Scaffolds
Seed
Logistics
Behavior Control
Population Dynamics
Seeds
Endothelial Cells
Growth
Dependency (Psychology)

Keywords

  • Cellular regeneration
  • Discrete automaton model

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science Applications
  • Health Informatics

Cite this

An agent-based model approach to multi-phase life-cycle for contact inhibited, anchorage dependent cells. / Hoehn, Ross; Schreder, Ashley M.; Rez, Mohammed Fayez Al; Kais, Sabre.

In: Interdisciplinary Sciences: Computational Life Sciences, Vol. 6, No. 4, 01.01.2014, p. 312-322.

Research output: Contribution to journalArticle

@article{ac2d9059a0e8445c8812ea99e9411d4e,
title = "An agent-based model approach to multi-phase life-cycle for contact inhibited, anchorage dependent cells",
abstract = "Cellular agent-based models are a technique that can be easily adapted to describe nuances of a particular cell type. Within we have concentrated on the cellular particularities of the human Endothelial Cell, explicitly the effects both of anchorage dependency and of heightened scaffold binding on the total confluence time of a system. By expansion of a discrete, homogeneous, asynchronous cellular model to account for several states per cell (phases within a cell’s life); we accommodate and track dependencies of confluence time and population dynamics on these factors. Increasing the total motility time, analogous to weakening the binding between lattice and cell, affects the system in unique ways from increasing the average cellular velocity; each degree of freedom allows for control over the time length the system achieves logistic growth and confluence. These additional factors may allow for greater control over behaviors of the system. Examinations of system’s dependence on both seed state velocity and binding are also enclosed.",
keywords = "Cellular regeneration, Discrete automaton model",
author = "Ross Hoehn and Schreder, {Ashley M.} and Rez, {Mohammed Fayez Al} and Sabre Kais",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/s12539-012-0236-4",
language = "English",
volume = "6",
pages = "312--322",
journal = "Interdisciplinary sciences, computational life sciences",
issn = "1913-2751",
publisher = "Springer Verlag",
number = "4",

}

TY - JOUR

T1 - An agent-based model approach to multi-phase life-cycle for contact inhibited, anchorage dependent cells

AU - Hoehn, Ross

AU - Schreder, Ashley M.

AU - Rez, Mohammed Fayez Al

AU - Kais, Sabre

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Cellular agent-based models are a technique that can be easily adapted to describe nuances of a particular cell type. Within we have concentrated on the cellular particularities of the human Endothelial Cell, explicitly the effects both of anchorage dependency and of heightened scaffold binding on the total confluence time of a system. By expansion of a discrete, homogeneous, asynchronous cellular model to account for several states per cell (phases within a cell’s life); we accommodate and track dependencies of confluence time and population dynamics on these factors. Increasing the total motility time, analogous to weakening the binding between lattice and cell, affects the system in unique ways from increasing the average cellular velocity; each degree of freedom allows for control over the time length the system achieves logistic growth and confluence. These additional factors may allow for greater control over behaviors of the system. Examinations of system’s dependence on both seed state velocity and binding are also enclosed.

AB - Cellular agent-based models are a technique that can be easily adapted to describe nuances of a particular cell type. Within we have concentrated on the cellular particularities of the human Endothelial Cell, explicitly the effects both of anchorage dependency and of heightened scaffold binding on the total confluence time of a system. By expansion of a discrete, homogeneous, asynchronous cellular model to account for several states per cell (phases within a cell’s life); we accommodate and track dependencies of confluence time and population dynamics on these factors. Increasing the total motility time, analogous to weakening the binding between lattice and cell, affects the system in unique ways from increasing the average cellular velocity; each degree of freedom allows for control over the time length the system achieves logistic growth and confluence. These additional factors may allow for greater control over behaviors of the system. Examinations of system’s dependence on both seed state velocity and binding are also enclosed.

KW - Cellular regeneration

KW - Discrete automaton model

UR - http://www.scopus.com/inward/record.url?scp=84919416588&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84919416588&partnerID=8YFLogxK

U2 - 10.1007/s12539-012-0236-4

DO - 10.1007/s12539-012-0236-4

M3 - Article

VL - 6

SP - 312

EP - 322

JO - Interdisciplinary sciences, computational life sciences

JF - Interdisciplinary sciences, computational life sciences

SN - 1913-2751

IS - 4

ER -