Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem

We present a mathematical model of an individual cell to expand the simulation of invadopodia formation to a three-dimensional (3D) domain for a more realistic complexity. Simulating invadopodia replication in order for it to be biologically relevant is important since it helps us to understand can...

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主要な著者: Muhammad Akmal, Ramlee, Nuha, Loling Othman, Takashi, Suzuki
フォーマット: 論文
言語:English
出版事項: MDPI 2023
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オンライン・アクセス:http://ir.unimas.my/id/eprint/42671/1/Invadopodia.pdf
http://ir.unimas.my/id/eprint/42671/
https://www.mdpi.com/2227-7390/11/14/3044
https://doi.org/10.3390/math11143044
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spelling my.unimas.ir.426712023-08-28T03:13:58Z http://ir.unimas.my/id/eprint/42671/ Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem Muhammad Akmal, Ramlee Nuha, Loling Othman Takashi, Suzuki QA Mathematics We present a mathematical model of an individual cell to expand the simulation of invadopodia formation to a three-dimensional (3D) domain for a more realistic complexity. Simulating invadopodia replication in order for it to be biologically relevant is important since it helps us to understand cancer invasion and metastasis better as well as giving some insight into investigating ways to stop the spread of this fatal disease. Invadopodia formation is formulated using the Stefan problem approach, where the free boundary is characterised by the Stefan free boundary condition, in which the boundary membrane is not known in advance. Level set method is proposed to indicate the behaviour of the cell interface and the motion of the plasma membrane. An enthalpy method (phase-transition problem) is used to describe the cell membrane diffusion. In addition to this, we were able to improve the simulation outcome, giving it a more realistic complexity by using a different simulation technique and domain as well as a different data set. Singularities and instabilities were eliminated. The results that were achieved have the potential to be helpful for novel approaches or to be extended to other methods in the development of a more accurate numerical simulation. MDPI 2023 Article PeerReviewed text en http://ir.unimas.my/id/eprint/42671/1/Invadopodia.pdf Muhammad Akmal, Ramlee and Nuha, Loling Othman and Takashi, Suzuki (2023) Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem. Mathematics, 11 (14). pp. 1-17. ISSN 2227-7390 https://www.mdpi.com/2227-7390/11/14/3044 https://doi.org/10.3390/math11143044
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Muhammad Akmal, Ramlee
Nuha, Loling Othman
Takashi, Suzuki
Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
description We present a mathematical model of an individual cell to expand the simulation of invadopodia formation to a three-dimensional (3D) domain for a more realistic complexity. Simulating invadopodia replication in order for it to be biologically relevant is important since it helps us to understand cancer invasion and metastasis better as well as giving some insight into investigating ways to stop the spread of this fatal disease. Invadopodia formation is formulated using the Stefan problem approach, where the free boundary is characterised by the Stefan free boundary condition, in which the boundary membrane is not known in advance. Level set method is proposed to indicate the behaviour of the cell interface and the motion of the plasma membrane. An enthalpy method (phase-transition problem) is used to describe the cell membrane diffusion. In addition to this, we were able to improve the simulation outcome, giving it a more realistic complexity by using a different simulation technique and domain as well as a different data set. Singularities and instabilities were eliminated. The results that were achieved have the potential to be helpful for novel approaches or to be extended to other methods in the development of a more accurate numerical simulation.
format Article
author Muhammad Akmal, Ramlee
Nuha, Loling Othman
Takashi, Suzuki
author_facet Muhammad Akmal, Ramlee
Nuha, Loling Othman
Takashi, Suzuki
author_sort Muhammad Akmal, Ramlee
title Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
title_short Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
title_full Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
title_fullStr Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
title_full_unstemmed Invadopodia Formation in Cancer Cell : The Mathematical and Computational Modelling Based on Free Boundary Problem
title_sort invadopodia formation in cancer cell : the mathematical and computational modelling based on free boundary problem
publisher MDPI
publishDate 2023
url http://ir.unimas.my/id/eprint/42671/1/Invadopodia.pdf
http://ir.unimas.my/id/eprint/42671/
https://www.mdpi.com/2227-7390/11/14/3044
https://doi.org/10.3390/math11143044
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