Bock, Christoph
Boutros, Michael
Camp, J. Gray
Clarke, Laura
Clevers, Hans
Knoblich, Juergen A.
Liberali, Prisca
Regev, Aviv
Rios, Anne C.
Stegle, Oliver
Stunnenberg, Hendrik G.
Teichmann, Sarah A.
Treutlein, Barbara
Vries, Robert G.J.
2020-08-30
<p>Human organoids – three-dimensional structures of cells that recapitulate important aspects of organ development in vitro – hold tremendous potential for biomedical applications. To help deliver on the promises of combining human organoids with single-cell technology, we have launched an Organoid Cell Atlas pilot project, as a ‘Biological Network’ within the Human Cell Atlas (HCA), focusing on single-cell profiling of organoids and in vitro cell models (<a href="https://www.humancellatlas.org/coordinators/">https://www.humancellatlas.org/coordinators/</a>). The Organoid Cell Atlas will foster the production, quality control, dissemination, and utilization of single-cell and spatial genomics data for human organoids, and it will connect such datasets with the comprehensive profiles of primary tissue that are being generated within the HCA. A first step toward establishing the Organoid Cell Atlas has recently been funded by the European Union Horizon 2020 call for “Pilot actions to build the foundations of a human cell atlas” through the “HCA|Organoid” project (<a href="http://hca-organoid.eu/">http://hca-organoid.eu/</a>). This preprint outlines the rationale for combining human organoids with single-cell technology and the concrete plans for established the Organoid Cell Atlas as a Rosetta Stone for biomedical discovery and regenerative therapy.</p>
https://doi.org/10.5281/zenodo.4001718
oai:zenodo.org:4001718
eng
Zenodo
https://doi.org/10.5281/zenodo.4001717
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Organoids
Single-cell profiling
High-throughput imaging
Multi-omics technology
Data resources
Bioinformatic tools
Integrative analysis
Biomedical applications
The Organoid Cell Atlas: A Rosetta Stone for Biomedical Discovery and Regenerative Therapy
info:eu-repo/semantics/article