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Determining the Composition and Stability of Protein Complexes Using an Integrated Label-Free and Stable Isotope Labeling Strategy

机译:使用集成的无标记和稳定同位素标记策略确定蛋白质复合物的组成和稳定性

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摘要

In biological systems, proteins catalyze the fundamental reactions that underlie all cellular functions, including metabolic processes and cell survival and death pathways. These biochemical reactions are rarely accomplished alone. Rather, they involve a concerted effect from many proteins that may operate in a directed signaling pathway and/or may physically associate in a complex to achieve a specific enzymatic activity. Therefore, defining the composition and regulation of protein complexes is critical for understanding cellular functions. In this chapter, we describe an approach that uses quantitative mass spectrometry (MS) to assess the specificity and the relative stability of protein interactions. Isolation of protein complexes from mammalian cells is performed by rapid immunoaffinity purification, and followed by in-solution digestion and high-resolution mass spectrometry analysis. We employ complementary quantitative MS workflows to assess the specificity of protein interactions using label-free MS and statistical analysis, and the relative stability of the interactions using a metabolic labeling technique. For each candidate protein interaction, scores from the two workflows can be correlated to minimize nonspecific background and profile protein complex composition and relative stability.
机译:在生物系统中,蛋白质催化所有细胞功能基础的基本反应,包括代谢过程,细胞存活和死亡途径。这些生化反应很少单独完成。而是,它们涉及许多蛋白质的协同作用,这些蛋白质可以在定向信号传导途径中起作用和/或可以物理结合在复合物中以实现特定的酶活性。因此,定义蛋白质复合物的组成和调控对于理解细胞功能至关重要。在本章中,我们描述了一种使用定量质谱(MS)来评估蛋白质相互作用的特异性和相对稳定性的方法。通过快速免疫亲和纯化从哺乳动物细胞中分离蛋白复合物,然后进行溶液中消化和高分辨率质谱分析。我们采用互补的定量MS工作流程,以使用无标记MS和统计分析评估蛋白质相互作用的特异性,并使用代谢标记技术评估相互作用的相对稳定性。对于每个候选蛋白质相互作用,可以将来自两个工作流程的分数关联起来,以使非特异性背景和特征蛋白复合物的组成和相对稳定性最小化。

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