Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France.
Institut de Recherche Mathématique Avancée, Université de Strasbourg, Strasbourg, France.
Proteomics. 2021 May;21(10):e2000214. doi: 10.1002/pmic.202000214. Epub 2021 Mar 30.
Mass spectrometry has proven to be a valuable tool for the accurate quantification of proteins. In this study, the performances of three targeted approaches, namely selected reaction monitoring (SRM), parallel reaction monitoring (PRM) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS), to accurately quantify ten potential biomarkers of beef meat tenderness or marbling in a cohort of 64 muscle samples were evaluated. So as to get the most benefit out of the complete MS2 maps that are acquired in SWATH-MS, an original label-free quantification method to estimate protein amounts using an I-spline regression model was developed. Overall, SWATH-MS outperformed SRM in terms of sensitivity and dynamic range, while PRM still performed the best, and all three strategies showed similar quantification accuracies and precisions for the absolute quantification of targets of interest. This targeted picture was extended by 585 additional proteins for which amounts were estimated using the label-free approach on SWATH-MS; thus, offering a more global profiling of muscle proteomes and further insights into muscle type effect on candidate biomarkers of beef meat qualities as well as muscle metabolism.
质谱法已被证明是准确定量蛋白质的有用工具。在这项研究中,评估了三种靶向方法(即选择反应监测(SRM)、平行反应监测(PRM)和序贯窗口采集所有理论片段离子质谱(SWATH-MS))在 64 个肌肉样本队列中准确定量牛肉嫩度或大理石花纹的十种潜在生物标志物的性能。为了从 SWATH-MS 获得的完整 MS2 图谱中获得最大收益,开发了一种使用 I-样条回归模型的原始无标记定量方法来估计蛋白质含量。总体而言,SWATH-MS 在灵敏度和动态范围方面优于 SRM,而 PRM 仍然表现最好,所有三种策略对感兴趣目标的绝对定量都表现出相似的定量准确性和精密度。通过使用 SWATH-MS 上的无标记方法对 585 种额外蛋白质进行定量,扩展了靶向图谱;因此,提供了对肌肉蛋白质组更全面的分析,并进一步深入了解肌肉类型对牛肉质量候选生物标志物以及肌肉代谢的影响。