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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
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.
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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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