Mathematical Modeling of Collective Cell Migration

Bachelor Thesis (2025)
Author(s)

L.P. Stevens (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Elisabeth G. Rens – Mentor (TU Delft - Mathematical Physics)

Q. Peng – Mentor (Lancaster University)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2025
Language
English
Graduation Date
01-07-2025
Awarding Institution
Delft University of Technology
Programme
['Applied Mathematics']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Collective cell migration is an important activity during the process of wound healing. In this thesis, we develop a model of a wound-healing assay using the Cellular Potts Model in the software package Morpheus. In addition, we describe a system of three coupled partial differential equations for different forms of the molecule transforming growth factor β. An analysis of this system shows the existence of a trivial and an infeasible homogeneous steady state solution, but the system does not allow Turing patterns to form. A baseline migration model with circular-shaped fibroblast cells is set up and tested. This model is extended by modeling the elongated shape of fibroblasts, which showed an increased amount of vertical cell movement. An in-depth analysis is performed to investigate the effect of cell length on vertical cell movement. It shows a significant increase in vertical movement when increasing the cell length up to approximately a factor of 2. Lastly, as a proof of concept, the reaction-diffusion system is integrated into the extended model simulating the differentiation of fibroblasts into myofibroblasts.

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