A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation

Abstract Understanding and predicting metastatic progression and developing novel diagnostic methods can highly benefit from accurate models of the deformability of cancer cells. Spring-based network models of cells can provide a versatile way of integrating deforming cancer cells with other physica...

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Autores principales:	Pouyan Keshavarz Motamed, Nima Maftoon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9f082f80ac194173bb723618e5bc5478
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spelling	oai:doaj.org-article:9f082f80ac194173bb723618e5bc54782021-11-08T10:55:00ZA systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation10.1038/s41598-021-00905-32045-2322https://doaj.org/article/9f082f80ac194173bb723618e5bc54782021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00905-3https://doaj.org/toc/2045-2322Abstract Understanding and predicting metastatic progression and developing novel diagnostic methods can highly benefit from accurate models of the deformability of cancer cells. Spring-based network models of cells can provide a versatile way of integrating deforming cancer cells with other physical and biochemical phenomena, but these models have parameters that need to be accurately identified. In this study we established a systematic method for identifying parameters of spring-network models of cancer cells. We developed a genetic algorithm and coupled it to the fluid–solid interaction model of the cell, immersed in blood plasma or other fluids, to minimize the difference between numerical and experimental data of cell motion and deformation. We used the method to create a validated model for the human lung cancer cell line (H1975), employing existing experimental data of its deformation in a narrow microchannel constriction considering cell-wall friction. Furthermore, using this validated model with accurately identified parameters, we studied the details of motion and deformation of the cancer cell in the microchannel constriction and the effects of flow rates on them. We found that ignoring the viscosity of the cell membrane and the friction between the cell and wall can introduce remarkable errors.Pouyan Keshavarz MotamedNima MaftoonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pouyan Keshavarz Motamed Nima Maftoon A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
description	Abstract Understanding and predicting metastatic progression and developing novel diagnostic methods can highly benefit from accurate models of the deformability of cancer cells. Spring-based network models of cells can provide a versatile way of integrating deforming cancer cells with other physical and biochemical phenomena, but these models have parameters that need to be accurately identified. In this study we established a systematic method for identifying parameters of spring-network models of cancer cells. We developed a genetic algorithm and coupled it to the fluid–solid interaction model of the cell, immersed in blood plasma or other fluids, to minimize the difference between numerical and experimental data of cell motion and deformation. We used the method to create a validated model for the human lung cancer cell line (H1975), employing existing experimental data of its deformation in a narrow microchannel constriction considering cell-wall friction. Furthermore, using this validated model with accurately identified parameters, we studied the details of motion and deformation of the cancer cell in the microchannel constriction and the effects of flow rates on them. We found that ignoring the viscosity of the cell membrane and the friction between the cell and wall can introduce remarkable errors.
format	article
author	Pouyan Keshavarz Motamed Nima Maftoon
author_facet	Pouyan Keshavarz Motamed Nima Maftoon
author_sort	Pouyan Keshavarz Motamed
title	A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
title_short	A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
title_full	A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
title_fullStr	A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
title_full_unstemmed	A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
title_sort	systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9f082f80ac194173bb723618e5bc5478
work_keys_str_mv	AT pouyankeshavarzmotamed asystematicapproachfordevelopingmechanisticmodelsforrealisticsimulationofcancercellmotionanddeformation AT nimamaftoon asystematicapproachfordevelopingmechanisticmodelsforrealisticsimulationofcancercellmotionanddeformation AT pouyankeshavarzmotamed systematicapproachfordevelopingmechanisticmodelsforrealisticsimulationofcancercellmotionanddeformation AT nimamaftoon systematicapproachfordevelopingmechanisticmodelsforrealisticsimulationofcancercellmotionanddeformation
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A systematic approach for developing mechanistic models for realistic simulation of cancer cell motion and deformation

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