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Finite Element Modelling of a Cellular Electric Microenvironment
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Computational energetic model of morphogenesis based on multi-agent Cellular Potts Model.

Sébastien Tripodi1, Pascal Ballet, Vincent Rodin

  • 1European University of Brittany - UEB UBO, EA 3883-LISyC (in virtuo) 20 av Le Gorgeu CS, 93837 29238, Brest Cedex, France. sebastien.tripodi@univ-brest.fr

Advances in Experimental Medicine and Biology
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Summary
This summary is machine-generated.

This study enhances the Cellular Potts Model (CPM) by integrating energy exchange, simulating cell differentiation and dynamic patterns in growing tissues. The new multi-agent system (MAS) model offers improved scalability for biological simulations.

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Biophysics

Background:

  • The Cellular Potts Model (CPM) is a cellular automaton used for modeling morphogenesis.
  • Existing CPM lacks the integration of energetic exchange, a crucial aspect of biological systems.
  • Cellular automata (CA) models can have scalability limitations compared to multi-agent systems (MAS).

Purpose of the Study:

  • To integrate energetic exchange into the Cellular Potts Model (CPM).
  • To develop a more scalable multi-agent system (MAS) based on CPM.
  • To simulate cell differentiation and observe emergent dynamic patterns driven by energy dynamics.

Main Methods:

  • Developed a multi-agent system (MAS) by extending the Cellular Potts Model (CPM).
  • Implemented cell agents with behaviors including energy consumption and production from molecular interactions.
  • Simulated cell differentiation within a growing cell tissue environment.

Main Results:

  • Observed the emergence of dynamic patterns resulting from energy consumption and production.
  • Demonstrated that the MAS approach, incorporating energy dynamics, can model complex cellular behaviors.
  • Validated the model's ability to simulate cell differentiation in a growing tissue.

Conclusions:

  • Integrating energetic exchange into CPM via a MAS framework enhances its biological realism.
  • The developed MAS-CPM effectively simulates emergent dynamic patterns driven by cellular energy metabolism.
  • This approach provides a more scalable and biologically relevant platform for studying tissue morphogenesis and cell differentiation.