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

被引:129
|
作者
Renner, Henrik [1 ]
Grabos, Martha [1 ]
Becker, Katharina J. [1 ,2 ]
Kagermeier, Theresa E. [1 ,2 ]
Wu, Jie [3 ,4 ]
Otto, Mandy [1 ,2 ]
Peischard, Stefan [5 ]
Zeuschner, Dagmar [6 ]
TsyTsyura, Yaroslav [7 ]
Disse, Paul [5 ]
Klingauf, Juergen [7 ]
Leidel, Sebastian A. [3 ,4 ]
Seebohm, Guiscard [5 ]
Schoeler, Hans R. [1 ,2 ]
Bruder, Jan M. [1 ]
机构
[1] Max Planck Inst Mol Biomed, Dept Cell & Dev Biol, Munster, Germany
[2] Westfalische Wilhelms Univ Munster, Munster, Germany
[3] Max Planck Inst Mol Biomed, Max Planck Res Grp RNA Biol, Munster, Germany
[4] Univ Bern, Dept Chem & Biochem, Res Grp RNA Biochem, Bern, Switzerland
[5] Univ Hosp Munster, Inst Genet Heart Dis, Dept Cardiovasc Med, Munster, Germany
[6] Max Planck Inst Mol Biomed, Electron Microscopy Unit, Munster, Germany
[7] Westfalische Wilhelms Univ Munster, Cellular Biophys Grp, Inst Med Phys & Biophys, Munster, Germany
来源
ELIFE | 2020年 / 9卷
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
D O I
10.7554/eLife.52904
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:1 / 39
页数:39
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