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与神经干细胞自我更新和分化相关的转录调控网络。

Transcriptional regulatory networks associated with self-renewal and differentiation of neural stem cells.

机构信息

School of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang, Republic of Korea.

出版信息

J Cell Physiol. 2010 Nov;225(2):337-47. doi: 10.1002/jcp.22294.

DOI:10.1002/jcp.22294
PMID:20607797
Abstract

Neural stem cells (NSCs) are self-renewing, multipotent cells that can generate neurons, astrocytes, and oligodendrocytes of the nervous system. NSCs have been extensively studied because they can be used to treat impaired cells and tissues or improve regenerative power of degenerating cells in neurodegenerative diseases or spinal cord injuries. For successful clinical applications of NSCs, it is essential to understand the mechanisms underlying self-renewal and differentiation of NSCs, which involve complex interplays among key factors including transcription factors, epigenetic control, microRNAs, and signaling pathways. Despite numerous studies on such factors, a holistic view of their interplays during neural development still remains elusive. In this review, we present recently identified potential regulatory factors and their targets by genomics and proteomics technologies and then integrate them into regulatory networks that describe their complex interplays to achieve self-renewal and differentiation of NSCs.

摘要

神经干细胞(NSCs)是自我更新的多能细胞,能够产生神经系统的神经元、星形胶质细胞和少突胶质细胞。NSCs 已经得到了广泛的研究,因为它们可以用于治疗受损的细胞和组织,或改善神经退行性疾病或脊髓损伤中退化细胞的再生能力。为了成功将 NSCs 应用于临床,了解 NSCs 自我更新和分化的机制至关重要,其中涉及到转录因子、表观遗传调控、microRNAs 和信号通路等关键因素之间的复杂相互作用。尽管对这些因素进行了大量研究,但它们在神经发育过程中的相互作用的整体情况仍然难以捉摸。在这篇综述中,我们介绍了最近通过基因组学和蛋白质组学技术鉴定的潜在调控因子及其靶标,然后将它们整合到描述 NSCs 自我更新和分化的复杂相互作用的调控网络中。

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