Author
Listed:
- Zhisong He
(ETH Zürich)
- Leander Dony
(Helmholtz Munich
Max Planck Institute of Psychiatry
International Max Planck Research School for Translational Psychiatry (IMPRS-TP)
Technical University of Munich)
- Jonas Simon Fleck
(Roche Pharma Research and Early Development, Roche Innovation Center Basel)
- Artur Szałata
(Helmholtz Munich
Technical University of Munich)
- Katelyn X. Li
(Helmholtz Munich
Max Planck Institute of Psychiatry)
- Irena Slišković
(Helmholtz Munich
Max Planck Institute of Psychiatry
International Max Planck Research School for Translational Psychiatry (IMPRS-TP))
- Hsiu-Chuan Lin
(ETH Zürich)
- Malgorzata Santel
(ETH Zürich)
- Alexander Atamian
(University of Southern California
University of Southern California)
- Giorgia Quadrato
(University of Southern California
University of Southern California)
- Jieran Sun
(ETH Zürich)
- Sergiu P. Pașca
(Stanford University
Wu Tsai Neurosciences Institute and Bio-X)
- J. Gray Camp
(Roche Pharma Research and Early Development, Roche Innovation Center Basel
University of Basel)
- Fabian J. Theis
(Helmholtz Munich
Technical University of Munich
Technical University of Munich)
- Barbara Treutlein
(ETH Zürich)
Abstract
Human neural organoids, generated from pluripotent stem cells in vitro, are useful tools to study human brain development, evolution and disease. However, it is unclear which parts of the human brain are covered by existing protocols, and it has been difficult to quantitatively assess organoid variation and fidelity. Here we integrate 36 single-cell transcriptomic datasets spanning 26 protocols into one integrated human neural organoid cell atlas totalling more than 1.7 million cells1–26. Mapping to developing human brain references27–30 shows primary cell types and states that have been generated in vitro, and estimates transcriptomic similarity between primary and organoid counterparts across protocols. We provide a programmatic interface to browse the atlas and query new datasets, and showcase the power of the atlas to annotate organoid cell types and evaluate new organoid protocols. Finally, we show that the atlas can be used as a diverse control cohort to annotate and compare organoid models of neural disease, identifying genes and pathways that may underlie pathological mechanisms with the neural models. The human neural organoid cell atlas will be useful to assess organoid fidelity, characterize perturbed and diseased states and facilitate protocol development.
Suggested Citation
Zhisong He & Leander Dony & Jonas Simon Fleck & Artur Szałata & Katelyn X. Li & Irena Slišković & Hsiu-Chuan Lin & Malgorzata Santel & Alexander Atamian & Giorgia Quadrato & Jieran Sun & Sergiu P. Paș, 2024.
"An integrated transcriptomic cell atlas of human neural organoids,"
Nature, Nature, vol. 635(8039), pages 690-698, November.
Handle:
RePEc:nat:nature:v:635:y:2024:i:8039:d:10.1038_s41586-024-08172-8
DOI: 10.1038/s41586-024-08172-8
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