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同步代谢物、蛋白质、脂质提取法(SIMPLEX):一种用于系统生物学的组合多分子组学方法。

Simultaneous Metabolite, Protein, Lipid Extraction (SIMPLEX): A Combinatorial Multimolecular Omics Approach for Systems Biology.

作者信息

Coman Cristina, Solari Fiorella Andrea, Hentschel Andreas, Sickmann Albert, Zahedi René Peiman, Ahrends Robert

机构信息

‖College of Physical Sciences, University of Aberdeen, Department of Chemistry, Aberdeen, UK.

‖College of Physical Sciences, University of Aberdeen, Department of Chemistry, Aberdeen, UK ‖College of Physical Sciences, University of Aberdeen, Department of Chemistry, Aberdeen, UK.

出版信息

Mol Cell Proteomics. 2016 Apr;15(4):1453-66. doi: 10.1074/mcp.M115.053702. Epub 2016 Jan 26.

Abstract

Interconnected molecular networks are at the heart of signaling pathways that mediate adaptive plasticity of eukaryotic cells. To gain deeper insights into the underlying molecular mechanisms, a comprehensive and representative analysis demands a deep and parallel coverage of a broad spectrum of molecular species. Therefore, we introduce a simultaneous metabolite, protein, lipid extraction (SIMPLEX) procedure, a novel strategy for the quantitative investigation of lipids, metabolites, and proteins. Compared with unimolecular workflows, SIMPLEX offers a fundamental turn in study design since multiple molecular classes can be accessed in parallel from one sample with equal efficiency and reproducibility. Application of this method in mass-spectrometry-based workflows allowed the simultaneous quantification of 360 lipids, 75 metabolites, and 3327 proteins from 10(6)cells. The versatility of this method is shown in a model system for adipogenesis- peroxisomal proliferator-activated receptor gamma (PPARG) signaling in mesenchymal stem cells-where we utilized SIMPLEX to explore cross-talk within and between all three molecular classes and identified novel potential molecular entry points for interventions, indicating that SIMPLEX provides a superior strategy compared with conventional workflows.

摘要

相互连接的分子网络是介导真核细胞适应性可塑性的信号通路的核心。为了更深入地了解潜在的分子机制,全面且具有代表性的分析需要对广泛的分子种类进行深度且并行的覆盖。因此,我们引入了一种同时进行代谢物、蛋白质、脂质提取(SIMPLEX)的方法,这是一种用于脂质、代谢物和蛋白质定量研究的新策略。与单分子工作流程相比,SIMPLEX在研究设计上带来了根本性的转变,因为可以从一个样本中以相同的效率和可重复性并行获取多种分子类别。该方法在基于质谱的工作流程中的应用使得能够从10⁶个细胞中同时定量360种脂质、75种代谢物和3327种蛋白质。这种方法的多功能性在间充质干细胞中脂肪生成——过氧化物酶体增殖物激活受体γ(PPARG)信号传导的模型系统中得到了体现,我们利用SIMPLEX来探索所有三种分子类别内部和之间的相互作用,并确定了新的潜在干预分子切入点,这表明与传统工作流程相比,SIMPLEX提供了一种更优越的策略。

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