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Alginate-based 3D cancer cell culture for therapeutic response modeling
Two-dimensional (2D) culture of tumor cells fails to recapitulate some important aspects of cellular organization seen in in vivo experiments. In addition, cell cultures traditionally use non-physiological concentration of nutrients. Here, we describe a protocol for a facile three-dimensional (3D) c...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985559/ https://www.ncbi.nlm.nih.gov/pubmed/33778784 http://dx.doi.org/10.1016/j.xpro.2021.100391 |
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author | Davoudi, Farideh Ghorbanpoor, Samar Yoda, Satoshi Pan, Xiao Crowther, Giovanna Stein Yin, Xunqin Murchie, Ellen Hata, Aaron N. Willers, Henning Benes, Cyril H. |
author_facet | Davoudi, Farideh Ghorbanpoor, Samar Yoda, Satoshi Pan, Xiao Crowther, Giovanna Stein Yin, Xunqin Murchie, Ellen Hata, Aaron N. Willers, Henning Benes, Cyril H. |
author_sort | Davoudi, Farideh |
collection | PubMed |
description | Two-dimensional (2D) culture of tumor cells fails to recapitulate some important aspects of cellular organization seen in in vivo experiments. In addition, cell cultures traditionally use non-physiological concentration of nutrients. Here, we describe a protocol for a facile three-dimensional (3D) culture format for cancer cells. This 3D platform helps overcome the 2D culture limitations. In addition, it allows for longitudinal modeling of responses to cancer therapeutics. For complete details on the use and execution of this protocol, please refer to Lhuissier et al. (2017), Lehmann et al. (2016), Liu et al. (2016), and Duval et al. (2011). |
format | Online Article Text |
id | pubmed-7985559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79855592021-03-25 Alginate-based 3D cancer cell culture for therapeutic response modeling Davoudi, Farideh Ghorbanpoor, Samar Yoda, Satoshi Pan, Xiao Crowther, Giovanna Stein Yin, Xunqin Murchie, Ellen Hata, Aaron N. Willers, Henning Benes, Cyril H. STAR Protoc Protocol Two-dimensional (2D) culture of tumor cells fails to recapitulate some important aspects of cellular organization seen in in vivo experiments. In addition, cell cultures traditionally use non-physiological concentration of nutrients. Here, we describe a protocol for a facile three-dimensional (3D) culture format for cancer cells. This 3D platform helps overcome the 2D culture limitations. In addition, it allows for longitudinal modeling of responses to cancer therapeutics. For complete details on the use and execution of this protocol, please refer to Lhuissier et al. (2017), Lehmann et al. (2016), Liu et al. (2016), and Duval et al. (2011). Elsevier 2021-03-18 /pmc/articles/PMC7985559/ /pubmed/33778784 http://dx.doi.org/10.1016/j.xpro.2021.100391 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Davoudi, Farideh Ghorbanpoor, Samar Yoda, Satoshi Pan, Xiao Crowther, Giovanna Stein Yin, Xunqin Murchie, Ellen Hata, Aaron N. Willers, Henning Benes, Cyril H. Alginate-based 3D cancer cell culture for therapeutic response modeling |
title | Alginate-based 3D cancer cell culture for therapeutic response modeling |
title_full | Alginate-based 3D cancer cell culture for therapeutic response modeling |
title_fullStr | Alginate-based 3D cancer cell culture for therapeutic response modeling |
title_full_unstemmed | Alginate-based 3D cancer cell culture for therapeutic response modeling |
title_short | Alginate-based 3D cancer cell culture for therapeutic response modeling |
title_sort | alginate-based 3d cancer cell culture for therapeutic response modeling |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985559/ https://www.ncbi.nlm.nih.gov/pubmed/33778784 http://dx.doi.org/10.1016/j.xpro.2021.100391 |
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