Supporting datasets for a multicellular hiPSC-derived 3D BBB-on-chip model
This repository contains supporting datasets, GraphPad Prism files, and representative figures associated with the development and validation of a fully hiPSC-derived 3D BBB-on-chip model. The data include TEER measurements, permeability assays, drug transport studies, qPCR analyses, live and dead assays, and immunocytochemistry characterization.
Authors
- Maria Cristina Ceccarelli (ORCID: https://orcid.org/0000-0001-7414-2018)
- Matteo Battaglini (ORCID: https://orcid.org/0000-0003-3601-1425)
- Katarzyna Krukiewicz (ORCID: https://orcid.org/0000-0003-0503-0906)
- Gianni Ciofani (ORCID: https://orcid.org/0000-0003-1192-3647)
- Beatriz Amanda Barbosa Rangel dos Passos (ORCID: https://orcid.org/0009-0009-6294-4182)
- Aitor Larrañaga (ORCID: https://orcid.org/0000-0002-2123-6069)
- Marie Lefevre (ORCID: https://orcid.org/0000-0001-8633-9782)
Institutions
- Silesian University of Technology (PL)
- Scuola Superiore Sant'Anna (IT)
- University of the Basque Country (ES)
- Italian Institute of Technology (IT)
- Bioscience Research (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-09
- DOI
- https://doi.org/10.5281/zenodo.20100068
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00