0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSignificance The thyroid is essential for maintaining systemic homeostasis by regulating thyroid hormone concentrations in the bloodstream. This study describes an organoid-based model system to study mouse and human thyroid biology. Moreover, the study explores the potential of human organoids for modeling autoimmune disease, the anti-TSH receptor (TSHR) antibody-driven Graves’ hyperthyroidism.
Jelte van der Vaart, Lynn Bosmans, Stijn F. Sijbesma, Kèvin Knoops, Willine J. van de Wetering, Henny G. Otten, Harry Begthel, Inne H.M. Borel Rinkes, Jeroen Korving, Eef G.W.M. Lentjes, Carmen López-Iglesias, Peter J. Peters, Hanneke M van Santen, Menno R. Vriens, Hans Clevers, Jelte van der Vaart, Lynn Bosmans, Stijn F. Sijbesma, Kèvin Knoops, Willine J. van de Wetering, Henny G. Otten, Harry Begthel, Inne H.M. Borel Rinkes, Jeroen Korving, Eef G.W.M. Lentjes, Carmen López-Iglesias, Peter J. Peters, Hanneke M van Santen, Menno R. Vriens, Hans Clevers (2021). Adult mouse and human organoids derived from thyroid follicular cells and modeling of Graves’ hyperthyroidism. , 118(51), DOI: https://doi.org/10.1073/pnas.2117017118.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
30
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1073/pnas.2117017118
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access