NUMERICAL COMPUTATION OF LIGAND AND SIGNAL ASSOCIATED TO INVADOPODIA FORMATION

Authors

  • Noorehan Yaacob Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia https://orcid.org/0000-0001-7697-992X
  • Sharidan Shafie Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Takashi Suzuki Division of Mathematical Science, Osaka University, Osaka, Japan https://orcid.org/0000-0002-0203-5587
  • Mohd Ariff Admon Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jurnalteknologi.v84.17901

Keywords:

Finite difference, free boundary, ghost fluid, level set, invasive cancer cell

Abstract

Invadopodia are protrusions that are commonly spotted at the plasma membrane of the invasive cancer cells. In forming invadopodia, several molecular interactions are involved such as the ligand, extracellular matrix (ECM), matrix metalloproteinases (MMPs), actin, and signal which are interrelated. In this paper, the mathematical model of ligand and signal transduction is taken in the heat equation with the MMPs is set as function . Besides, the actin regulation moved the interface and thus computed as the signal gradient. The mathematical model is solved using the combination of methods finite difference, ghost fluid with linear extrapolation, and level set. Apart from that, the convergence results are also given to determine the effectiveness of the above-mentioned methods. Results showed that the stimulation of signal transduction from the ligand and membrane-associated receptor binding consequently moved the plasma membrane. Also, the methods used gave a good agreement in the convergence results.

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Published

2022-05-30

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Science and Engineering

How to Cite

NUMERICAL COMPUTATION OF LIGAND AND SIGNAL ASSOCIATED TO INVADOPODIA FORMATION. (2022). Jurnal Teknologi, 84(4), 41-47. https://doi.org/10.11113/jurnalteknologi.v84.17901