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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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Detalles Bibliográficos
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
Descripción
Sumario: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.