将人类诱导多能干细胞定向分化为脊髓运动神经元的研究进展与挑战
Progress and challenges in directing the differentiation of human iPSCs into spinal motor neurons.
作者信息
Castillo Bautista Cristina Marisol, Sterneckert Jared
机构信息
Center for Regenerative Therapies TU Dresden (CRTD), Technische Universität (TU) Dresden, Dresden, Germany.
Medical Faculty Carl Gustav Carus of TU Dresden, Dresden, Germany.
出版信息
Front Cell Dev Biol. 2023 Jan 5;10:1089970. doi: 10.3389/fcell.2022.1089970. eCollection 2022.
Motor neuron (MN) diseases, including amyotrophic lateral sclerosis, progressive bulbar palsy, primary lateral sclerosis and spinal muscular atrophy, cause progressive paralysis and, in many cases, death. A better understanding of the molecular mechanisms of pathogenesis is urgently needed to identify more effective therapies. However, studying MNs has been extremely difficult because they are inaccessible in the spinal cord. Induced pluripotent stem cells (iPSCs) can generate a theoretically limitless number of MNs from a specific patient, making them powerful tools for studying MN diseases. However, to reach their potential, iPSCs need to be directed to efficiently differentiate into functional MNs. Here, we review the reported differentiation protocols for spinal MNs, including induction with small molecules, expression of lineage-specific transcription factors, 2-dimensional and 3-dimensional cultures, as well as the implementation of microfluidics devices and co-cultures with other cell types, including skeletal muscle. We will summarize the advantages and disadvantages of each strategy. In addition, we will provide insights into how to address some of the remaining challenges, including reproducibly obtaining mature and aged MNs.
运动神经元(MN)疾病,包括肌萎缩侧索硬化症、进行性延髓麻痹、原发性侧索硬化症和脊髓性肌萎缩症,会导致进行性瘫痪,在许多情况下还会导致死亡。迫切需要更好地了解发病机制的分子机制,以确定更有效的治疗方法。然而,研究运动神经元极其困难,因为它们在脊髓中难以获取。诱导多能干细胞(iPSC)可以从特定患者身上产生理论上无限数量的运动神经元,使其成为研究运动神经元疾病的有力工具。然而,为了发挥其潜力,iPSC需要被引导有效地分化为功能性运动神经元。在这里,我们回顾了已报道的脊髓运动神经元分化方案,包括用小分子诱导、谱系特异性转录因子的表达、二维和三维培养,以及微流控装置的应用和与其他细胞类型(包括骨骼肌)的共培养。我们将总结每种策略的优缺点。此外,我们将深入探讨如何应对一些剩余的挑战,包括可重复地获得成熟和老化的运动神经元。