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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7395763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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