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使用 16O/18O 标记对小鼠胚胎成纤维细胞和诱导多能干细胞进行定量蛋白质组学分析。

Quantitative proteomic analysis of mouse embryonic fibroblasts and induced pluripotent stem cells using 16O/18O labeling.

机构信息

Department of Pathology and Microbiology, Mass Spectrometry and Proteomics Core Facility, University of Nebraska Medical Center, Omaha, Nebraska 68198, United States.

出版信息

J Proteome Res. 2012 Apr 6;11(4):2091-102. doi: 10.1021/pr300155r. Epub 2012 Mar 15.

Abstract

Induced pluripotent stem cells (iPSC) hold great promise for regenerative medicine as well as for investigations into the pathogenesis and treatment of various diseases. Understanding of key intracellular signaling pathways and protein targets that control development of iPSC from somatic cells is essential for designing new approaches to improve reprogramming efficiency. Here, we report the development and application of an integrated quantitative proteomics platform for investigating differences in protein expressions between mouse embryonic fibroblasts (MEF) and MEF-derived iPSC. This platform consists of 16O/18O labeling, multidimensional peptide separation coupled with tandem mass spectrometry, and data analysis with UNiquant software. With this platform, a total of 2481 proteins were identified and quantified from the 16O/18O-labeled MEF-iPSC proteome mixtures with a false discovery rate of 0.01. Among them, 218 proteins were significantly upregulated, while 247 proteins were significantly downregulated in iPSC compared to MEF. Many nuclear proteins, including Hdac1, Dnmt1, Pcna, Ccnd1, Smarcc1, and subunits in DNA replication and RNA polymerase II complex, were found to be enhanced in iPSC. Protein network analysis revealed that Pcna functions as a hub orchestrating complicated mechanisms including DNA replication, epigenetic inheritance (Dnmt1), and chromatin remodeling (Smarcc1) to reprogram MEF and maintain stemness of iPSC.

摘要

诱导多能干细胞(iPSC)在再生医学以及研究各种疾病的发病机制和治疗方法方面具有巨大的潜力。了解控制体细胞向 iPSC 发育的关键细胞内信号通路和蛋白质靶标对于设计提高重编程效率的新方法至关重要。在这里,我们报告了一种综合定量蛋白质组学平台的开发和应用,用于研究小鼠胚胎成纤维细胞(MEF)和 MEF 来源的 iPSC 之间蛋白质表达的差异。该平台由 16O/18O 标记、多维肽分离与串联质谱联用以及 UNiquant 软件进行数据分析组成。使用该平台,从 16O/18O 标记的 MEF-iPSC 蛋白质组混合物中鉴定和定量了总共 2481 种蛋白质,假发现率为 0.01。其中,与 MEF 相比,iPSC 中有 218 种蛋白质显著上调,而 247 种蛋白质显著下调。许多核蛋白,包括 Hdac1、Dnmt1、Pcna、Ccnd1、Smarcc1 和 DNA 复制和 RNA 聚合酶 II 复合物的亚基,在 iPSC 中被发现增强。蛋白质网络分析表明,Pcna 作为一个协调中心,协调包括 DNA 复制、表观遗传遗传(Dnmt1)和染色质重塑(Smarcc1)在内的复杂机制,以重编程 MEF 并维持 iPSC 的干性。

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