Computationally modelling cell proliferation: A review.
Autor: | Barbosa MIA; Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), University of Porto, Porto, Portugal., Belinha J; School of Engineering, Polytechnic of Porto (ISEP), Porto, Portugal., Jorge RMN; Faculty of Engineering, University of Porto (FEUP), Porto, Portugal., Carvalho AX; Institute for Research and Innovation in Health (I3S), Cytoskeletal Dynamics Department, University of Porto, Porto, Portugal. |
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Jazyk: | angličtina |
Zdroj: | International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2023 Jul; Vol. 39 (7), pp. e3715. Date of Electronic Publication: 2023 May 07. |
DOI: | 10.1002/cnm.3715 |
Abstrakt: | Cell proliferation is vital for the development and homeostasis of the human body. For such to occur, cells go through the cell cycle during which they replicate their genetic material and ultimately complete cellular division, when one cell divides into two new cells with equal genetic material. However, if there are some errors or abnormalities during the cell cycle that disrupt the balance between cell death and proliferation, severe problems can occur, such as tumour development, which is currently one of the leading causes of death in the world. Nowadays, mathematical and computational models are used to understand and study several biological mechanisms and processes, namely cellular proliferation. Over the last forty-five years, several models have attempted to describe cell proliferation and its regulation. Due to the complexity of the process, numerous assumptions and simplifications have been considered. This work presents a review of some of these models, focusing mainly on mammalian or generic eukaryotic models. Previously published continuum, discrete and hybrid approaches are presented and compared, in order to understand and highlight the relevance and capabilities of these models, their shortcomings and future challenges. (© 2023 John Wiley & Sons Ltd.) |
Databáze: | MEDLINE |
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