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诱导多能干细胞:用于机制研究和药物发现的强大神经退行性疾病建模工具。

Induced Pluripotent Stem Cells: A Powerful Neurodegenerative Disease Modeling Tool for Mechanism Study and Drug Discovery.

作者信息

Chang Chia-Yu, Ting Hsiao-Chien, Liu Ching-Ann, Su Hong-Lin, Chiou Tzyy-Wen, Harn Horng-Jyh, Lin Shinn-Zong

机构信息

Bio-innovation Center, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.

Department of Medical Research, Buddhist Tzu Chi General Hospital, Hualien, Taiwan.

出版信息

Cell Transplant. 2018 Nov;27(11):1588-1602. doi: 10.1177/0963689718775406. Epub 2018 Jun 12.

Abstract

Many neurodegenerative diseases are progressive, complex diseases without clear mechanisms or effective treatments. To study the mechanisms underlying these diseases and to develop treatment strategies, a reliable modeling system is critical. Induced pluripotent stem cells (iPSCs) have the ability to self-renew and possess the differentiation potential to become any kind of adult cell; thus, they may serve as a powerful material for disease modeling. Indeed, patient cell-derived iPSCs can differentiate into specific cell lineages that display the appropriate disease phenotypes and vulnerabilities. In this review, we highlight neuronal differentiation methods and the current development of iPSC-based neurodegenerative disease modeling tools for mechanism study and drug screening, with a discussion of the challenges and future inspiration for application.

摘要

许多神经退行性疾病是渐进性的复杂疾病,其发病机制尚不明确,也没有有效的治疗方法。为了研究这些疾病的潜在机制并制定治疗策略,一个可靠的建模系统至关重要。诱导多能干细胞(iPSC)具有自我更新能力,并拥有分化成任何类型成体细胞的潜能;因此,它们可能成为疾病建模的有力材料。事实上,源自患者细胞的iPSC可以分化为特定的细胞谱系,这些谱系表现出适当的疾病表型和易感性。在本综述中,我们重点介绍神经元分化方法以及基于iPSC的神经退行性疾病建模工具在机制研究和药物筛选方面的当前进展,并讨论应用中面临的挑战和未来的启示。

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