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用于模拟衰老的人类神经元:越“老”越好的培养皿。

Human neurons to model aging: A dish best served old.

作者信息

Böhnke Lena, Traxler Larissa, Herdy Joseph R, Mertens Jerome

机构信息

Institute of Molecular Biology & CMBI, Department of Genomics, Stem Cell Biology & Regenerative Medicine, Leopold-Franzens-University Innsbruck, Technikerstr. 25, 6020 Innsbruck, Austria.

Laboratory of Genetics, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.

出版信息

Drug Discov Today Dis Models. 2018 Spring;27:43-49. doi: 10.1016/j.ddmod.2019.01.001. Epub 2019 Feb 12.

Abstract

With the advancing age of humans and with it, growing numbers of age-related diseases, aging has become a major focus in recent research. The lack of fitting aging models, especially in neurological diseases where access to human brain samples is limited, has highlighted direct conversion into induced neurons (iN) as an important method to overcome this challenge. Contrary to iPSC reprogramming and its corresponding cell rejuvenation, the generation of iNs enables us to retain aging signatures throughout the conversion process and beyond. In this review, we explore different cell reprogramming methods in light of age-associated neurodegenerative diseases and discuss different approaches, advances, and limitations.

摘要

随着人类年龄的增长以及与之相关的年龄相关性疾病数量的增加,衰老已成为近期研究的主要焦点。缺乏合适的衰老模型,尤其是在获取人类脑样本受限的神经疾病中,凸显了直接转化为诱导神经元(iN)作为克服这一挑战的重要方法。与诱导多能干细胞(iPSC)重编程及其相应的细胞年轻化相反,诱导神经元的产生使我们能够在整个转化过程及之后保留衰老特征。在本综述中,我们根据与年龄相关的神经退行性疾病探讨不同的细胞重编程方法,并讨论不同的方法、进展和局限性。

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