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He, Z.* ; Dony, L. ; Fleck, J.S.* ; Szałata, A. ; Li, K. ; Slišković, I. ; Lin, H.C.* ; Santel, M.* ; Atamian, A.* ; Quadrato, G.* ; Sun, J.* ; Pașca, S.P.* ; Camp, J.G.* ; Theis, F.J. ; Treutlein, B.*

An integrated transcriptomic cell atlas of human neural organoids.

Nature 635, 690-698 (2024)
DOI PMC
Open Access Green: Postprint online verfügbar 05/2025
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 0028-0836
e-ISSN 1476-4687
Zeitschrift Nature
Quellenangaben Band: 635, Heft: 8039, Seiten: 690-698 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)