Huang Qiang, Yang Lu, Luo Ji, Guo Lin, Wang Zhiyuan, Yang Xiangyun, Jin Wenhai, Fang Yanshan, Ye Juanying, Shan Bing, Zhang Yaoyang
Interdisciplinary Research Center on Biology and Chemistry, Chinese Academy of Sciences, Shanghai, P. R. China; Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, P. R. China.
Proteomics. 2015 Apr;15(7):1215-23. doi: 10.1002/pmic.201400270.
MS-based proteomics has emerged as a powerful tool in biological studies. The shotgun proteomics strategy, in which proteolytic peptides are analyzed in data-dependent mode, enables a detection of the most comprehensive proteome (>10 000 proteins from whole-cell lysate). The quantitative proteomics uses stable isotopes or label-free method to measure relative protein abundance. The isotope labeling strategies are more precise and accurate compared to label-free methods, but labeling procedures are complicated and expensive, and the sample number and types are also limited. Sequential window acquisition of all theoretical mass spectra (SWATH) is a recently developed technique, in which data-independent acquisition is coupled with peptide spectral library match. In principle SWATH method is able to do label-free quantification in an MRM-like manner, which has higher quantification accuracy and precision. Previous data have demonstrated that SWATH can be used to quantify less complex systems, such as spiked-in peptide mixture or protein complex. Our study first time assessed the quantification performance of SWATH method on proteome scale using a complex mouse-cell lysate sample. In total 3600 proteins got identified and quantified without sample prefractionation. The SWATH method shows outstanding quantification precision, whereas the quantification accuracy becomes less perfect when protein abundances differ greatly. However, this inaccuracy does not prevent discovering biological correlates, because the measured signal intensities had linear relationship to the sample loading amounts; thus the SWATH method can predict precisely the significance of a protein. Our results prove that SWATH can provide precise label-free quantification on proteome scale.
基于质谱的蛋白质组学已成为生物学研究中的一种强大工具。鸟枪法蛋白质组学策略是在数据依赖模式下分析蛋白水解肽,能够检测最全面的蛋白质组(来自全细胞裂解物的>10000种蛋白质)。定量蛋白质组学使用稳定同位素或无标记方法来测量相对蛋白质丰度。与无标记方法相比,同位素标记策略更精确、准确,但标记过程复杂且昂贵,样本数量和类型也有限。所有理论质谱的序列窗口采集(SWATH)是一种最近开发的技术,其中数据非依赖采集与肽谱库匹配相结合。原则上,SWATH方法能够以类似MRM的方式进行无标记定量,具有更高的定量准确性和精密度。先前的数据表明,SWATH可用于对不太复杂的系统进行定量,如掺入的肽混合物或蛋白质复合物。我们的研究首次使用复杂的小鼠细胞裂解物样本评估了SWATH方法在蛋白质组规模上的定量性能。在没有样本预分级的情况下,总共鉴定和定量了3600种蛋白质。SWATH方法显示出出色的定量精密度,而当蛋白质丰度差异很大时,定量准确性则不太理想。然而,这种不准确性并不妨碍发现生物学相关性,因为测得的信号强度与样本上样量呈线性关系;因此,SWATH方法可以精确预测蛋白质 的重要性。我们的结果证明,SWATH可以在蛋白质组规模上提供精确的无标记定量。