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用于分析神经干细胞对二氧化钛纳米颗粒的神经元分化的蛋白质相互作用网络。

A protein interaction network for the analysis of the neuronal differentiation of neural stem cells in response to titanium dioxide nanoparticles.

机构信息

Laboratory of Molecular Neurobiology, School of Life Sciences, Shanghai University, Shanghai, PR China.

出版信息

Biomaterials. 2010 Apr;31(11):3063-70. doi: 10.1016/j.biomaterials.2009.12.054. Epub 2010 Jan 13.

Abstract

The effects of titanium dioxide (TiO(2)) nanoparticles (NPs) on the differentiation of neural stem cells are reported. Our findings indicate that TiO(2) NPs lead to a differentiational tendency towards neurons from neural stem cells, suggesting TiO(2) NPs might be a beneficial inducer for neuronal differentiation. To insight into the possible molecular mechanism of the neuronal differentiation, we conducted a protein-protein interaction network (PIN) analysis. To this end, a global mapping of target proteins induced by TiO(2) NPs was first made by a 2-dimensional electrophoresis analysis. Results showed that 9 proteins were significantly changed and then they were subjected to the mass spectrometric assay. All 9 identified proteins are involved in signal, molecular chaperones, cytoskeleton, and nucleoprotein. Further, based on our experimental data and DIP, IntAct-EBI, GRID database, a protein-protein interaction network was constructed, which provides highly integrated information exhibiting the protein-protein interaction. By analysis of the gene expression, the signal pathway involving Cx43 phosphorylation, which is negatively regulated by the protein kinase C epsilon (PKCepsilon), is demonstrated. It is inferred that PKCepsilon plays a pivotal negative role in the neuronal differentiation of stem neural cells in response to the TiO(2) NPs exposure.

摘要

研究了二氧化钛(TiO(2))纳米粒子(NPs)对神经干细胞分化的影响。我们的研究结果表明,TiO(2) NPs 导致神经干细胞向神经元分化的趋势,提示 TiO(2) NPs 可能是神经元分化的有益诱导剂。为了深入了解神经元分化的可能分子机制,我们进行了蛋白质-蛋白质相互作用网络(PIN)分析。为此,首先通过二维电泳分析对 TiO(2) NPs 诱导的靶蛋白进行了全局映射。结果表明,有 9 种蛋白质显著变化,然后进行了质谱分析。所有鉴定的 9 种蛋白质都参与了信号、分子伴侣、细胞骨架和核蛋白。此外,基于我们的实验数据和 DIP、IntAct-EBI、GRID 数据库,构建了一个蛋白质-蛋白质相互作用网络,提供了高度集成的信息,展示了蛋白质-蛋白质相互作用。通过基因表达分析,证明了涉及 Cx43 磷酸化的信号通路,该通路受蛋白激酶 C epsilon(PKCepsilon)的负调控。可以推断,PKCepsilon 在 TiO(2) NPs 暴露时对干细胞神经细胞的神经元分化起着关键的负调控作用。

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