A simulation model of biofilms with autonomous cells: I. Analysis of a two-dimensional version

Tatek, Yergou B.; Slater, Gary W.

doi:10.1016/j.physa.2005.08.011

Cited by 12 publications

(9 citation statements)

References 32 publications

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“…The effect of deformability of cells and vesicles has recently been studied in other contexts. Many of these studies were based on a beads-and-springs model for the cell shape and focused on red blood cells in capillaries2021, bacteria in biofilms2223 and tissue growth24. Such models complement recent Potts model studies of cell sorting25 and vertex model dynamical studies2627 of soft tissues.…”

mentioning

confidence: 99%

Multiple scale model for cell migration in monolayers: Elastic mismatch between cells enhances motility

Palmieri

Bresler

Wirtz

et al. 2015

Sci Rep

104

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We propose a multiscale model for monolayer of motile cells that comprise normal and cancer cells. In the model, the two types of cells have identical properties except for their elasticity; cancer cells are softer and normal cells are stiffer. The goal is to isolate the role of elasticity mismatch on the migration potential of cancer cells in the absence of other contributions that are present in real cells. The methodology is based on a phase-field description where each cell is modeled as a highly-deformable self-propelled droplet. We simulated two types of nearly confluent monolayers. One contains a single cancer cell in a layer of normal cells and the other contains normal cells only. The simulation results demonstrate that elasticity mismatch alone is sufficient to increase the motility of the cancer cell significantly. Further, the trajectory of the cancer cell is decorated by several speed “bursts” where the cancer cell quickly relaxes from a largely deformed shape and consequently increases its translational motion. The increased motility and the amplitude and frequency of the bursts are in qualitative agreement with recent experiments.

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mentioning

confidence: 99%

Multiple scale model for cell migration in monolayers: Elastic mismatch between cells enhances motility

Palmieri

Bresler

Wirtz

et al. 2015

Sci Rep

104

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“…The probability of cell division per unit time, Γ div , becomes nonzero upon maturity. The dynamics of cell division and membrane rearrangement, as shown in Figure 5(d and e), are described in detail in our previous study 34. The end result is two daughter cells, shown in Figure 5(e), with $N_{{\rm c}}^{{\rm 0}} $ membrane monomers each, generally with different surface areas.…”

Section: A Cell‐based Lattice Monte–carlo Model For Biofilm Simulationmentioning

confidence: 71%

“…We previously introduced a two‐dimensional (2D) LMC algorithm for biofilm simulation,34 but this model lacked a representation for the polymeric EPS chains. The model coarse‐grains the system at the cellular level and allows us to easily incorporate cell interactions and important cell activities like growth, division, maintenance, motility, and death.…”

Section: A Cell‐based Lattice Monte–carlo Model For Biofilm Simulationmentioning

confidence: 99%

“…With the continuous improvements in computational capabilities, the implementation of models with more detailed information has become possible. Our model,34 which we believe is among the most detailed models for biofilm to date, is coarse‐grained to the cellular level—the cells are autonomous agents with mechanical, biological, and thermodynamic properties.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is structured as follows. A Cell‐Based Lattice Monte–Carlo Model For Biofilm Simulation Section first summarizes our lattice Monte–Carlo (LMC) model (described in detail in Tatek and Slater34). The dynamics of the most important addition of the model, the EPSs, is included.…”

Section: Introductionmentioning

confidence: 99%

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A Simulation Model of Biofilms with Autonomous Cells, 2 ‐ Explicit Representation of the Extracellular Polymeric Substance

Tao

Slater

2011

Macro Theory & Simulations

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Biofilms are complex colonies of bacteria that grow in contact with a wall, often in the presence of a water flow. In the current work, biofilm colony growth is investigated using a two‐dimensional lattice Monte–Carlo algorithm based on the bond‐fluctuation algorithm (BFA). One of the distinguishing characteristics of biofilms, the synthesis and physical properties of the extracellular polymeric substance (EPS) in which the cells are embedded, is explicitly taken into account. Cells are modeled as autonomous closed loops with well‐defined mechanical and biological properties, while the EPS is modeled as flexible polymeric chain synthesized by the cells during their growth. By tuning the structural, energy, biological, and morphologic parameters of the model, the cell shapes as well as the growth and maturation of various types of biofilm colonies (including colonies with multiple species) can be controlled.magnified image

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Multi‐Agent Simulations of Spatial Dynamics

Treuil¹,

Mullon²,

Perrier³

et al. 2007

Models in Spatial Analysis

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A simulation model of biofilms with autonomous cells: I. Analysis of a two-dimensional version

Cited by 12 publications

References 32 publications

Multiple scale model for cell migration in monolayers: Elastic mismatch between cells enhances motility

Multiple scale model for cell migration in monolayers: Elastic mismatch between cells enhances motility

A Simulation Model of Biofilms with Autonomous Cells, 2 ‐ Explicit Representation of the Extracellular Polymeric Substance

Multi‐Agent Simulations of Spatial Dynamics

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