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A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids
Three-dimensional (3D) culture systems have fueled hopes to bring about the next generation of more physiologically relevant high-throughput screens (HTS). However, current protocols yield either complex but highly heterogeneous aggregates (‘organoids’) or 3D structures with less physiological relev...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609049/ https://www.ncbi.nlm.nih.gov/pubmed/33138918 http://dx.doi.org/10.7554/eLife.52904 |
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author | Renner, Henrik Grabos, Martha Becker, Katharina J Kagermeier, Theresa E Wu, Jie Otto, Mandy Peischard, Stefan Zeuschner, Dagmar TsyTsyura, Yaroslav Disse, Paul Klingauf, Jürgen Leidel, Sebastian A Seebohm, Guiscard Schöler, Hans R Bruder, Jan M |
author_facet | Renner, Henrik Grabos, Martha Becker, Katharina J Kagermeier, Theresa E Wu, Jie Otto, Mandy Peischard, Stefan Zeuschner, Dagmar TsyTsyura, Yaroslav Disse, Paul Klingauf, Jürgen Leidel, Sebastian A Seebohm, Guiscard Schöler, Hans R Bruder, Jan M |
author_sort | Renner, Henrik |
collection | PubMed |
description | Three-dimensional (3D) culture systems have fueled hopes to bring about the next generation of more physiologically relevant high-throughput screens (HTS). However, current protocols yield either complex but highly heterogeneous aggregates (‘organoids’) or 3D structures with less physiological relevance (‘spheroids’). Here, we present a scalable, HTS-compatible workflow for the automated generation, maintenance, and optical analysis of human midbrain organoids in standard 96-well-plates. The resulting organoids possess a highly homogeneous morphology, size, global gene expression, cellular composition, and structure. They present significant features of the human midbrain and display spontaneous aggregate-wide synchronized neural activity. By automating the entire workflow from generation to analysis, we enhance the intra- and inter-batch reproducibility as demonstrated via RNA sequencing and quantitative whole mount high-content imaging. This allows assessing drug effects at the single-cell level within a complex 3D cell environment in a fully automated HTS workflow. |
format | Online Article Text |
id | pubmed-7609049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-76090492020-11-04 A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids Renner, Henrik Grabos, Martha Becker, Katharina J Kagermeier, Theresa E Wu, Jie Otto, Mandy Peischard, Stefan Zeuschner, Dagmar TsyTsyura, Yaroslav Disse, Paul Klingauf, Jürgen Leidel, Sebastian A Seebohm, Guiscard Schöler, Hans R Bruder, Jan M eLife Stem Cells and Regenerative Medicine Three-dimensional (3D) culture systems have fueled hopes to bring about the next generation of more physiologically relevant high-throughput screens (HTS). However, current protocols yield either complex but highly heterogeneous aggregates (‘organoids’) or 3D structures with less physiological relevance (‘spheroids’). Here, we present a scalable, HTS-compatible workflow for the automated generation, maintenance, and optical analysis of human midbrain organoids in standard 96-well-plates. The resulting organoids possess a highly homogeneous morphology, size, global gene expression, cellular composition, and structure. They present significant features of the human midbrain and display spontaneous aggregate-wide synchronized neural activity. By automating the entire workflow from generation to analysis, we enhance the intra- and inter-batch reproducibility as demonstrated via RNA sequencing and quantitative whole mount high-content imaging. This allows assessing drug effects at the single-cell level within a complex 3D cell environment in a fully automated HTS workflow. eLife Sciences Publications, Ltd 2020-11-03 /pmc/articles/PMC7609049/ /pubmed/33138918 http://dx.doi.org/10.7554/eLife.52904 Text en © 2020, Renner et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Stem Cells and Regenerative Medicine Renner, Henrik Grabos, Martha Becker, Katharina J Kagermeier, Theresa E Wu, Jie Otto, Mandy Peischard, Stefan Zeuschner, Dagmar TsyTsyura, Yaroslav Disse, Paul Klingauf, Jürgen Leidel, Sebastian A Seebohm, Guiscard Schöler, Hans R Bruder, Jan M A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title | A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title_full | A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title_fullStr | A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title_full_unstemmed | A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title_short | A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids |
title_sort | fully automated high-throughput workflow for 3d-based chemical screening in human midbrain organoids |
topic | Stem Cells and Regenerative Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609049/ https://www.ncbi.nlm.nih.gov/pubmed/33138918 http://dx.doi.org/10.7554/eLife.52904 |
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