A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids

Author:

Renner Henrik1ORCID,Grabos Martha1,Becker Katharina J12,Kagermeier Theresa E12,Wu Jie34,Otto Mandy12,Peischard Stefan5ORCID,Zeuschner Dagmar6,TsyTsyura Yaroslav7,Disse Paul5,Klingauf Jürgen7,Leidel Sebastian A34ORCID,Seebohm Guiscard5,Schöler Hans R12,Bruder Jan M1ORCID

Affiliation:

1. Department for Cell and Developmental Biology, Max Planck Institute for molecular Biomedicine, Münster, Germany

2. Westfälische Wilhelms-Universität Münster, Münster, Germany

3. Max Planck Research Group for RNA Biology, Max Planck Institute for molecular Biomedicine, Münster, Germany

4. Research Group for RNA Biochemistry, Department of Chemistry and Biochemistry, University of Bern, Bern, Switzerland

5. Department of Cardiovascular Medicine, Institute for Genetics of Heart Diseases, University Hospital Münster, Münster, Germany

6. Electron Microscopy Unit, Max Planck Institute for molecular Biomedicine, Münster, Germany

7. Cellular Biophysics Group, Institute for Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Münster, Germany

Abstract

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.

Funder

H2020 European Research Council

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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