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

Authors :
Henrik Renner
Martha Grabos
Katharina J Becker
Theresa E Kagermeier
Jie Wu
Mandy Otto
Stefan Peischard
Dagmar Zeuschner
Yaroslav TsyTsyura
Paul Disse
Jürgen Klingauf
Sebastian A Leidel
Guiscard Seebohm
Hans R Schöler
Jan M Bruder
Source :
eLife, Vol 9 (2020)
Publication Year :
2020
Publisher :
eLife Sciences Publications Ltd, 2020.

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.

Details

Language :
English
ISSN :
2050084X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.2662a280e32941548c73b45f5456f1b6
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.52904