Hansen Marita Grønning, Tornero Daniel, Canals Isaac, Ahlenius Henrik, Kokaia Zaal
Faculty of Medicine, Department of Clinical Sciences Lund, Neurology, Lund Stem Cell Center, Laboratory of Stem Cells and Restorative Neurology, Lund University, Skåne University Hospital, Lund, Sweden.
Faculty of Medicine, Department of Clinical Sciences Lund, Neurology, Lund Stem Cell Center, Stem Cells, Aging and Neurodegeneration Group, Lund University, Lund, Sweden.
Methods Mol Biol. 2019;1919:73-88. doi: 10.1007/978-1-4939-9007-8_6.
Recent progress in stem cell biology and epigenetic reprogramming has opened up previously unimaginable possibilities to study and develop regenerative approaches for neurological disorders. Human neurons and glial cells can be generated by differentiation of embryonic and neural stem cells and from somatic cells through reprogramming to pluripotency (followed by differentiation) as well as by direct conversion. All of these cells have the potential to be used for studying and treating neurological disorders. However, before considering using human neural cells derived from these sources for modelling or regenerative purposes, they need to be verified in terms of functionality and similarity to endogenous cells in the central nervous system (CNS).In this chapter, we describe how to assess functionality of neurons and astrocytes derived from stem cells and through direct reprogramming, using calcium imaging and electrophysiology.
干细胞生物学和表观遗传重编程的最新进展为研究和开发神经系统疾病的再生方法开辟了以前难以想象的可能性。人类神经元和神经胶质细胞可以通过胚胎和神经干细胞的分化产生,也可以通过重编程为多能性(随后分化)以及直接转化从体细胞产生。所有这些细胞都有潜力用于研究和治疗神经系统疾病。然而,在考虑将源自这些来源的人类神经细胞用于建模或再生目的之前,需要在功能和与中枢神经系统(CNS)内源性细胞的相似性方面进行验证。在本章中,我们描述了如何使用钙成像和电生理学评估源自干细胞并通过直接重编程产生的神经元和星形胶质细胞的功能。