Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models

Abstract Several computational models, both continuum and discrete, allow for the simulation of collective cell behaviors in connection with challenges linked to disease modeling and understanding. Normally, discrete cell modelling employs quasi-infinite or boundary-less 2D lattices, hence modeling...

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Autores principales:	Julia Ballesteros Hernando, Milagros Ramos Gómez, Andrés Díaz Lantada
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a4386a84eb4642cc9391ed43c04472d4
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spelling	oai:doaj.org-article:a4386a84eb4642cc9391ed43c04472d42021-12-02T16:07:54ZModeling Living Cells Within Microfluidic Systems Using Cellular Automata Models10.1038/s41598-019-51494-12045-2322https://doaj.org/article/a4386a84eb4642cc9391ed43c04472d42019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-51494-1https://doaj.org/toc/2045-2322Abstract Several computational models, both continuum and discrete, allow for the simulation of collective cell behaviors in connection with challenges linked to disease modeling and understanding. Normally, discrete cell modelling employs quasi-infinite or boundary-less 2D lattices, hence modeling collective cell behaviors in Petri dish-like environments. The advent of lab- and organ-on-a-chip devices proves that the information obtained from 2D cell cultures, upon Petri dishes, differs importantly from the results obtained in more biomimetic micro-fluidic environments, made of interconnected chambers and channels. However, discrete cell modelling within lab- and organ-on-a-chip devices, to our knowledge, is not yet found in the literature, although it may prove useful for designing and optimizing these types of systems. Consequently, in this study we focus on the establishment of a direct connection between the computer-aided designs (CAD) of microfluidic systems, especially labs- and organs-on-chips (and their multi-chamber and multi-channel structures), and the lattices for discrete cell modeling approaches aimed at the simulation of collective cell interactions, whose boundaries are defined directly from the CAD models. We illustrate the proposal using a quite straightforward cellular automata model, apply it to simulating cells with different growth rates, within a selected set of microsystem designs, and validate it by tuning the growth rates with the support of cell culture experiments and by checking the results with a real microfluidic system.Julia Ballesteros HernandoMilagros Ramos GómezAndrés Díaz LantadaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Julia Ballesteros Hernando Milagros Ramos Gómez Andrés Díaz Lantada Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
description	Abstract Several computational models, both continuum and discrete, allow for the simulation of collective cell behaviors in connection with challenges linked to disease modeling and understanding. Normally, discrete cell modelling employs quasi-infinite or boundary-less 2D lattices, hence modeling collective cell behaviors in Petri dish-like environments. The advent of lab- and organ-on-a-chip devices proves that the information obtained from 2D cell cultures, upon Petri dishes, differs importantly from the results obtained in more biomimetic micro-fluidic environments, made of interconnected chambers and channels. However, discrete cell modelling within lab- and organ-on-a-chip devices, to our knowledge, is not yet found in the literature, although it may prove useful for designing and optimizing these types of systems. Consequently, in this study we focus on the establishment of a direct connection between the computer-aided designs (CAD) of microfluidic systems, especially labs- and organs-on-chips (and their multi-chamber and multi-channel structures), and the lattices for discrete cell modeling approaches aimed at the simulation of collective cell interactions, whose boundaries are defined directly from the CAD models. We illustrate the proposal using a quite straightforward cellular automata model, apply it to simulating cells with different growth rates, within a selected set of microsystem designs, and validate it by tuning the growth rates with the support of cell culture experiments and by checking the results with a real microfluidic system.
format	article
author	Julia Ballesteros Hernando Milagros Ramos Gómez Andrés Díaz Lantada
author_facet	Julia Ballesteros Hernando Milagros Ramos Gómez Andrés Díaz Lantada
author_sort	Julia Ballesteros Hernando
title	Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
title_short	Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
title_full	Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
title_fullStr	Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
title_full_unstemmed	Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models
title_sort	modeling living cells within microfluidic systems using cellular automata models
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/a4386a84eb4642cc9391ed43c04472d4
work_keys_str_mv	AT juliaballesteroshernando modelinglivingcellswithinmicrofluidicsystemsusingcellularautomatamodels AT milagrosramosgomez modelinglivingcellswithinmicrofluidicsystemsusingcellularautomatamodels AT andresdiazlantada modelinglivingcellswithinmicrofluidicsystemsusingcellularautomatamodels
_version_	1718384676229349376

Modeling Living Cells Within Microfluidic Systems Using Cellular Automata Models

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