Getting it right before transplantation: example of a stem cell model with regenerative potential for the CNS

Autor: Cedric Viero, Govindan Dayanithi, Oksana Forostyak, Eva Syková
Přispěvatelé: Saarland University [Saarbrücken], Czech Academy of Sciences [Prague] (CAS), Charles University [Prague] (CU), Mécanismes moléculaires dans les démences neurodégénératives (MMDN), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Frontiers in Cell and Developmental Biology
Frontiers in Cell and Developmental Biology, Frontiers media, 2014, 2, pp.36. ⟨10.3389/fcell.2014.00036⟩
Frontiers in Cell and Developmental Biology, Vol 2 (2014)
ISSN: 2296-634X
DOI: 10.3389/fcell.2014.00036
Popis: International audience; The burden of neurodegenerative disorders in an aging population has become a challenge for the modern world. While the biomarkers available and the methods of diagnosis have improved to detect the onset of these diseases at early stages, the question of adapted and efficient therapies is still a major issue. The prospect of replacing the loss of functional neural cells remains an attractive but still audacious approach. A huge progress has been made in the generation of neurons derived from human stem cell lines and transplantation assays are tested in animals for a wide range of pathologies of the central nervous system. Here we take one step back and examine neuronal differentiation and the characterization of neural progenitors derived from human embryonic stem cells. We gather results from our previous studies and present a cell model that was successfully used in functional analyses and engraftment experiments. These neuronal precursors exhibit spontaneous and evoked activity, indicating that their electrophysiological and calcium handling properties are similar to those of matured neurons. Hence this summarized information will serve as a basis to design better stem cell-based therapies to improve neural regeneration.
Databáze: OpenAIRE