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Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids
Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an aut...
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/PMC7573629/ https://www.ncbi.nlm.nih.gov/pubmed/33077832 http://dx.doi.org/10.1038/s41467-020-19058-4 |
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author | Schuster, Brooke Junkin, Michael Kashaf, Sara Saheb Romero-Calvo, Isabel Kirby, Kori Matthews, Jonathan Weber, Christopher R. Rzhetsky, Andrey White, Kevin P. Tay, Savaş |
author_facet | Schuster, Brooke Junkin, Michael Kashaf, Sara Saheb Romero-Calvo, Isabel Kirby, Kori Matthews, Jonathan Weber, Christopher R. Rzhetsky, Andrey White, Kevin P. Tay, Savaş |
author_sort | Schuster, Brooke |
collection | PubMed |
description | Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an automated, high-throughput, microfluidic 3D organoid culture and analysis system to facilitate preclinical research and personalized therapies. Our system provides combinatorial and dynamic drug treatments to hundreds of cultures and enables real-time analysis of organoids. We validate our system by performing individual, combinatorial, and sequential drug screens on human-derived pancreatic tumor organoids. We observe significant differences in the response of individual patient-based organoids to drug treatments and find that temporally-modified drug treatments can be more effective than constant-dose monotherapy or combination therapy in vitro. This integrated platform advances organoids models to screen and mirror real patient treatment courses with potential to facilitate treatment decisions for personalized therapy. |
format | Online Article Text |
id | pubmed-7573629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75736292020-10-21 Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids Schuster, Brooke Junkin, Michael Kashaf, Sara Saheb Romero-Calvo, Isabel Kirby, Kori Matthews, Jonathan Weber, Christopher R. Rzhetsky, Andrey White, Kevin P. Tay, Savaş Nat Commun Article Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an automated, high-throughput, microfluidic 3D organoid culture and analysis system to facilitate preclinical research and personalized therapies. Our system provides combinatorial and dynamic drug treatments to hundreds of cultures and enables real-time analysis of organoids. We validate our system by performing individual, combinatorial, and sequential drug screens on human-derived pancreatic tumor organoids. We observe significant differences in the response of individual patient-based organoids to drug treatments and find that temporally-modified drug treatments can be more effective than constant-dose monotherapy or combination therapy in vitro. This integrated platform advances organoids models to screen and mirror real patient treatment courses with potential to facilitate treatment decisions for personalized therapy. Nature Publishing Group UK 2020-10-19 /pmc/articles/PMC7573629/ /pubmed/33077832 http://dx.doi.org/10.1038/s41467-020-19058-4 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 Schuster, Brooke Junkin, Michael Kashaf, Sara Saheb Romero-Calvo, Isabel Kirby, Kori Matthews, Jonathan Weber, Christopher R. Rzhetsky, Andrey White, Kevin P. Tay, Savaş Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title | Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title_full | Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title_fullStr | Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title_full_unstemmed | Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title_short | Automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
title_sort | automated microfluidic platform for dynamic and combinatorial drug screening of tumor organoids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573629/ https://www.ncbi.nlm.nih.gov/pubmed/33077832 http://dx.doi.org/10.1038/s41467-020-19058-4 |
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