High-throughput automated organoid culture via stem-cell aggregation in microcavity arrays

Stem-cell-derived epithelial organoids are routinely used for the biological and biomedical modelling of tissues. However, the complexity, lack of standardization and quality control of stem cell culture in solid extracellular matrices hampers the routine use of the organoids at the industrial scale...

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Published inNature biomedical engineering Vol. 4; no. 9; pp. 863 - 874
Main Authors Brandenberg, Nathalie, Hoehnel, Sylke, Kuttler, Fabien, Homicsko, Krisztian, Ceroni, Camilla, Ringel, Till, Gjorevski, Nikolce, Schwank, Gerald, Coukos, George, Turcatti, Gerardo, Lutolf, Matthias P.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.09.2020
Nature Publishing Group
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ISSN2157-846X
2157-846X
DOI10.1038/s41551-020-0565-2

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Summary:Stem-cell-derived epithelial organoids are routinely used for the biological and biomedical modelling of tissues. However, the complexity, lack of standardization and quality control of stem cell culture in solid extracellular matrices hampers the routine use of the organoids at the industrial scale. Here, we report the fabrication of microengineered cell culture devices and scalable and automated methods for suspension culture and real-time analysis of thousands of individual gastrointestinal organoids trapped in microcavity arrays within a polymer-hydrogel substrate. The absence of a solid matrix substantially reduces organoid heterogeneity, which we show for mouse and human gastrointestinal organoids. We use the devices to screen for anticancer drug candidates with patient-derived colorectal cancer organoids, and apply high-content image-based phenotypic analyses to reveal insights into mechanisms of drug action. The scalable organoid-culture technology should facilitate the use of organoids in drug development and diagnostics. Thousands of individual gastrointestinal organoids cultured on microcavity arrays without a solid extracellular matrix allow for high-throughput drug screening and for high-content image-based phenotypic analyses.
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ISSN:2157-846X
2157-846X
DOI:10.1038/s41551-020-0565-2