Max Perutz Labs, Mass Spectrometry Facility, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria.
Center for Molecular Biology, Department of Biochemistry and Cell Biology, University of Vienna, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria.
J Proteome Res. 2022 Oct 7;21(10):2397-2411. doi: 10.1021/acs.jproteome.2c00265. Epub 2022 Aug 25.
Robust, efficient, and reproducible protein extraction and sample processing is a key step for bottom-up proteomics analyses. While many sample preparation protocols for mass spectrometry have been described, selecting an appropriate method remains challenging since some protein classes may require specialized solubilization, precipitation, and digestion procedures. Here, we present a comprehensive comparison of the 16 most widely used sample preparation methods, covering in-solution digests, device-based methods, and commercially available kits. We find a remarkably good performance of the majority of the protocols with high reproducibility, little method dependency, and low levels of artifact formation. However, we revealed method-dependent differences in the recovery of specific protein features, which we summarized in a descriptive guide matrix. Our work thereby provides a solid basis for the selection of MS sample preparation strategies for a given proteomics project.
稳健、高效且可重现的蛋白质提取和样品处理是进行基于质谱的蛋白质组学分析的关键步骤。尽管已经描述了许多用于质谱的样品制备方案,但选择合适的方法仍然具有挑战性,因为某些蛋白质类别可能需要专门的溶解、沉淀和消化程序。在这里,我们对 16 种最常用的样品制备方法进行了全面比较,涵盖了溶液内消化、基于设备的方法和市售试剂盒。我们发现大多数方案的性能非常出色,具有高重复性、低方法依赖性和低伪影形成水平。然而,我们发现特定蛋白质特征的回收存在方法依赖性差异,我们将其总结在描述性指南矩阵中。我们的工作为给定蛋白质组学项目中 MS 样品制备策略的选择提供了坚实的基础。