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Nogo-66受体与Nogo-p4的相互作用抑制神经干细胞的神经元分化。

The interaction of Nogo-66 receptor with Nogo-p4 inhibits the neuronal differentiation of neural stem cells.

作者信息

Wang F, Zhu Y

机构信息

Department of Orthopedics, First Affiliated Hospital, China Medical University, Shenyang City, Liaoning Province, 110001, China.

出版信息

Neuroscience. 2008 Jan 2;151(1):74-81. doi: 10.1016/j.neuroscience.2007.10.034. Epub 2007 Nov 12.

Abstract

The Nogo-66 receptor (NgR) has been found throughout axons in the adult and maturing CNS. An interaction of Nogo on the oligodendrocyte surface with NgR on axons has been suggested to play an important role in limiting axonal growth. In our study, we found that neural stem cells (NSCs) derived from the spinal cords of rats expressed NgR significantly. After normal NSCs differentiation, the average neuronal neurite length was 97.80+/-6.97 microm and the percentage of differentiated neurons was 34.73+/-5.21% 3 days after the differentiation was initiated in vitro. If NSCs were allowed to differentiate in the presence of Nogo-p4 (the active segment of Nogo-66), the average neurite length and the percentage of differentiated neurons were decreased, respectively, to 60.31+/-6.58 microm and 10.26+/-1.22%. An siRNA-mediated knockdown of NgR on NSCs could reverse the inhibitory effect of Nogo-p4 and restore the average neuronal neurite length as well as the percentage of differentiated neurons to 94.01+/-8.37 microm and 31.84+/-4.03%. These results deepen our knowledge about the distribution of NgR and provide a possible strategy of treating NSCs to ameliorate neuronal differentiation after transplantation.

摘要

在成年和发育中的中枢神经系统(CNS)的轴突中均发现了Nogo-66受体(NgR)。少突胶质细胞表面的Nogo与轴突上的NgR之间的相互作用被认为在限制轴突生长中起重要作用。在我们的研究中,我们发现源自大鼠脊髓的神经干细胞(NSCs)显著表达NgR。正常NSCs分化后,体外分化开始3天后,平均神经元神经突长度为97.80±6.97微米,分化神经元的百分比为34.73±5.21%。如果NSCs在Nogo-p4(Nogo-66的活性片段)存在的情况下分化,平均神经突长度和分化神经元的百分比分别降至60.31±6.58微米和10.26±1.22%。通过小干扰RNA(siRNA)介导的NSCs上NgR的敲低可以逆转Nogo-p4的抑制作用,并将平均神经元神经突长度以及分化神经元的百分比恢复至94.01±8.37微米和31.84±4.03%。这些结果加深了我们对NgR分布的认识,并为治疗NSCs以改善移植后神经元分化提供了一种可能的策略。

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