Mazur Matthew T, Cardasis Helene L
Merck Research Laboratories, Rahway, NJ, USA.
Methods Mol Biol. 2013;1000:115-37. doi: 10.1007/978-1-62703-405-0_10.
The field of quantitative, label-free proteomics has evolved significantly over time, with most experiments performed "bottom-up" using proteolyzed protein mixtures. In these experiments, statistically significant peptide abundance differences between two or more experimental conditions are determined, and their corresponding proteins later identified. Recently, the rationale for extending this experimental design to mixtures of intact proteins has become clear, as analysis at the protein level allows for the independent detection of each protein form present, including those modified posttranslationally. This provides a level of specificity lost in bottom-up experiments. As such, the application of label-free top-down differential mass spectrometry has provided a means for understanding the subtle protein changes that define a particular phenotype. Described here is an approach for the top-down label-free quantitative analysis of the proteins which constitute human high-density lipoprotein particles. The methodology is conceptually very straightforward; however, it does require a level of rigor and consistency typically not addressed by more conventional proteomics experiments.
随着时间的推移,定量、无标记蛋白质组学领域有了显著发展,大多数实验采用“自下而上”的方式,使用经蛋白酶解的蛋白质混合物。在这些实验中,要确定两个或多个实验条件之间具有统计学意义的肽丰度差异,随后鉴定其相应的蛋白质。最近,将这种实验设计扩展到完整蛋白质混合物的基本原理已变得清晰,因为在蛋白质水平上进行分析能够独立检测存在的每种蛋白质形式,包括那些翻译后修饰的蛋白质。这提供了自下而上实验中所缺失的特异性水平。因此,无标记自上而下的差异质谱分析的应用为理解定义特定表型的细微蛋白质变化提供了一种手段。本文介绍了一种对构成人类高密度脂蛋白颗粒的蛋白质进行自上而下无标记定量分析的方法。该方法在概念上非常简单;然而,它确实需要一定程度的严谨性和一致性,而这通常是更传统的蛋白质组学实验所未涉及的。