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An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment

3D cell cultures are in-vitro models representing a significant improvement with respect to traditional monolayers. Their diffusion and applicability, however, are hampered by the complexity of 3D systems, that add new physical variables for experimental analyses. In order to account for these addit...

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Autores principales: Cortesi, Marilisa, Liverani, Chiara, Mercatali, Laura, Ibrahim, Toni, Giordano, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395763/
https://www.ncbi.nlm.nih.gov/pubmed/32737377
http://dx.doi.org/10.1038/s41598-020-69862-7
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author Cortesi, Marilisa
Liverani, Chiara
Mercatali, Laura
Ibrahim, Toni
Giordano, Emanuele
author_facet Cortesi, Marilisa
Liverani, Chiara
Mercatali, Laura
Ibrahim, Toni
Giordano, Emanuele
author_sort Cortesi, Marilisa
collection PubMed
description 3D cell cultures are in-vitro models representing a significant improvement with respect to traditional monolayers. Their diffusion and applicability, however, are hampered by the complexity of 3D systems, that add new physical variables for experimental analyses. In order to account for these additional features and improve the study of 3D cultures, we here present SALSA (ScAffoLd SimulAtor), a general purpose computational tool that can simulate the behavior of a population of cells cultured in a 3D scaffold. This software allows for the complete customization of both the polymeric template structure and the cell population behavior and characteristics. In the following the technical description of SALSA will be presented, together with its validation and an example of how it could be used to optimize the experimental analysis of two breast cancer cell lines cultured in collagen scaffolds. This work contributes to the growing field of integrated in-silico/in-vitro analysis of biological systems, which have great potential for the study of complex cell population behaviours and could lead to improve and facilitate the effectiveness and diffusion of 3D cell culture models.
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spelling pubmed-73957632020-08-04 An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment Cortesi, Marilisa Liverani, Chiara Mercatali, Laura Ibrahim, Toni Giordano, Emanuele Sci Rep Article 3D cell cultures are in-vitro models representing a significant improvement with respect to traditional monolayers. Their diffusion and applicability, however, are hampered by the complexity of 3D systems, that add new physical variables for experimental analyses. In order to account for these additional features and improve the study of 3D cultures, we here present SALSA (ScAffoLd SimulAtor), a general purpose computational tool that can simulate the behavior of a population of cells cultured in a 3D scaffold. This software allows for the complete customization of both the polymeric template structure and the cell population behavior and characteristics. In the following the technical description of SALSA will be presented, together with its validation and an example of how it could be used to optimize the experimental analysis of two breast cancer cell lines cultured in collagen scaffolds. This work contributes to the growing field of integrated in-silico/in-vitro analysis of biological systems, which have great potential for the study of complex cell population behaviours and could lead to improve and facilitate the effectiveness and diffusion of 3D cell culture models. Nature Publishing Group UK 2020-07-31 /pmc/articles/PMC7395763/ /pubmed/32737377 http://dx.doi.org/10.1038/s41598-020-69862-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cortesi, Marilisa
Liverani, Chiara
Mercatali, Laura
Ibrahim, Toni
Giordano, Emanuele
An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title_full An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title_fullStr An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title_full_unstemmed An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title_short An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment
title_sort in-silico study of cancer cell survival and spatial distribution within a 3d microenvironment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395763/
https://www.ncbi.nlm.nih.gov/pubmed/32737377
http://dx.doi.org/10.1038/s41598-020-69862-7
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