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Swapping in lattice-based cell migration models.

Shahzeb Raja Noureen1, Jennifer P Owen1, Richard L Mort2

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Summary
This summary is machine-generated.

This study introduces a novel agent-based model (ABM) incorporating cell swapping behavior to simulate cell migration. The model shows good agreement with macroscopic density, quantifying swapping's effect on cell motility.

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Area of Science:

  • Computational Biology
  • Mathematical Modeling
  • Biophysics

Background:

  • Cell migration is crucial in biological processes and often modeled using agent-based models (ABMs).
  • Existing models incorporate interactions like adhesion and repulsion, but cell swapping is less explored.
  • Cells exhibit diverse interactions beyond simple exclusion, influencing migration dynamics.

Purpose of the Study:

  • To develop and analyze an agent-based model (ABM) that includes a "swapping" mechanism for cell movement.
  • To investigate the impact of cell swapping on cell migration dynamics.
  • To compare the ABM with a derived macroscopic model for validation.

Main Methods:

  • Developed a novel on-lattice agent-based model (ABM) with a swapping interaction.
  • Formulated a corresponding macroscopic model for a two-species system.
  • Compared simulation results from the ABM with the macroscopic model.
  • Analyzed individual agent movement in single- and two-species scenarios.

Main Results:

  • The developed ABM accurately reproduces macroscopic density, showing good agreement with the derived macroscopic model.
  • Quantified the effects of swapping on individual agent motility in both single- and two-species systems.
  • Demonstrated the feasibility and validity of incorporating swapping into cell migration models.

Conclusions:

  • Agent-based models can effectively incorporate complex cell-cell interactions like swapping.
  • Swapping is a significant factor influencing cell migration and motility.
  • The developed model provides a framework for studying the role of swapping in biological systems.