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https://hdl.handle.net/10316/109639
Título: | A stable and reproducible human blood-brain barrier model derived from hematopoietic stem cells | Autor: | Cecchelli, Romeo Aday, Sezin Sevin, Emmanuel Almeida, Catarina Culot, Maxime Dehouck, Lucie Coisne, Caroline Engelhardt, Britta Dehouck, Marie-Pierre Ferreira, Lino |
Data: | 2014 | Editora: | Public Library of Science | Projeto: | PTDC/CTM/099659/2008 PEst-C/SAU/LA0001/2013 |
Título da revista, periódico, livro ou evento: | PLoS ONE | Volume: | 9 | Número: | 6 | Resumo: | The human blood brain barrier (BBB) is a selective barrier formed by human brain endothelial cells (hBECs), which is important to ensure adequate neuronal function and protect the central nervous system (CNS) from disease. The development of human in vitro BBB models is thus of utmost importance for drug discovery programs related to CNS diseases. Here, we describe a method to generate a human BBB model using cord blood-derived hematopoietic stem cells. The cells were initially differentiated into ECs followed by the induction of BBB properties by co-culture with pericytes. The brain-like endothelial cells (BLECs) express tight junctions and transporters typically observed in brain endothelium and maintain expression of most in vivo BBB properties for at least 20 days. The model is very reproducible since it can be generated from stem cells isolated from different donors and in different laboratories, and could be used to predict CNS distribution of compounds in human. Finally, we provide evidence that Wnt/β-catenin signaling pathway mediates in part the BBB inductive properties of pericytes. | URI: | https://hdl.handle.net/10316/109639 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0099733 | Direitos: | openAccess |
Aparece nas coleções: | IIIUC - Artigos em Revistas Internacionais I&D CNC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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A-stable-and-reproducible-human-bloodbrain-barrier-model-derived-from-hematopoietic-stem-cellsPLoS-ONE.pdf | 8.79 MB | Adobe PDF | Ver/Abrir |
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