Hughes Christopher S, Sorensen Poul H, Morin Gregg B
Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Methods Mol Biol. 2019;1959:65-87. doi: 10.1007/978-1-4939-9164-8_5.
The broad utility of mass spectrometry (MS) for investigating the proteomes of a diverse array of sample types has significantly expanded the use of this technology in biological studies. This widespread use has resulted in a substantial collection of protocols and acquisition approaches designed to obtain the highest-quality data for each experiment. As a result, distilling this information to develop a standard operating protocol for essential workflows, such as bottom-up quantitative shotgun whole proteome analysis, can be complex for users new to MS technology. Further complicating this matter, in-depth description of the methodological choices is seldom given in the literature. In this work, we describe a workflow for quantitative whole proteome analysis that is suitable for biomarker discovery, giving detailed consideration to important stages, including (1) cell lysis and protein cleanup using SP3 paramagnetic beads, (2) quantitative labeling, (3) offline peptide fractionation, (4) MS analysis, and (5) data analysis and interpretation. Special attention is paid to providing comprehensive details for all stages of this proteomics workflow to enhance transferability to external labs. The standardized protocol described here will provide a simplified resource to the proteomics community toward efficient adaptation of MS technology in proteomics studies.
质谱(MS)在研究各种不同类型样品的蛋白质组方面具有广泛的实用性,这极大地扩展了该技术在生物学研究中的应用。这种广泛应用导致大量用于获取每个实验最高质量数据的方案和采集方法被收集起来。因此,对于刚接触MS技术的用户而言,提炼这些信息以制定像自下而上定量鸟枪法全蛋白质组分析等基本工作流程的标准操作规程可能会很复杂。更麻烦的是,文献中很少对方法选择进行深入描述。在这项工作中,我们描述了一种适用于生物标志物发现的定量全蛋白质组分析工作流程,详细考虑了重要阶段,包括(1)使用SP3顺磁珠进行细胞裂解和蛋白质纯化,(2)定量标记,(3)离线肽段分级分离,(4)质谱分析,以及(5)数据分析与解读。我们特别注重为该蛋白质组学工作流程的各个阶段提供全面细节,以提高向外部实验室的可转移性。这里描述的标准化方案将为蛋白质组学领域提供一个简化的资源,有助于在蛋白质组学研究中高效应用MS技术。