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直接神经元重编程的见解与应用。

Insights and applications of direct neuronal reprogramming.

机构信息

Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.

Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Curr Opin Genet Dev. 2023 Dec;83:102128. doi: 10.1016/j.gde.2023.102128. Epub 2023 Oct 18.

Abstract

Direct neuronal reprogramming converts somatic cells of a defined lineage into induced neuronal cells without going through a pluripotent intermediate. This approach not only provides access to the otherwise largely inaccessible cells of the brain for neuronal disease modeling, but also holds great promise for ultimately enabling neuronal cell replacement without the use of transplantation. To improve efficiency and specificity of direct neuronal reprogramming, much of the current efforts aim to understand the mechanisms that safeguard cell identities and how the reprogramming cells overcome the barriers resisting fate changes. Here, we review recent discoveries into the mechanisms by which the donor cell program is silenced, and new cell identities are established. We also discuss advancements that have been made toward fine-tuning the output of these reprogramming systems to generate specific types of neuronal cells. Finally, we highlight the benefit of using direct neuronal reprogramming to study age-related disorders and the potential of in vivo direct reprogramming in regenerative medicine.

摘要

直接神经重编程将特定谱系的体细胞转化为诱导性神经元细胞,而无需经过多能性中间阶段。这种方法不仅为神经元疾病建模提供了进入大脑中否则难以进入的细胞的途径,而且还有望最终实现无需移植即可进行神经元细胞替代。为了提高直接神经重编程的效率和特异性,目前的大部分努力旨在了解保护细胞身份的机制,以及重编程细胞如何克服抵抗命运改变的障碍。在这里,我们回顾了最近在沉默供体细胞程序和建立新细胞身份的机制方面的发现。我们还讨论了在微调这些重编程系统的输出以产生特定类型的神经元细胞方面取得的进展。最后,我们强调了使用直接神经重编程来研究与年龄相关的疾病的好处,以及体内直接重编程在再生医学中的潜力。

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