Advanced Research Support Center, Institute for Promotion of Science and Technology, Ehime University, Toon 790-8577, Ehime, Japan.
Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.
Anal Chem. 2022 Sep 20;94(37):12815-12821. doi: 10.1021/acs.analchem.2c02777. Epub 2022 Sep 7.
The combination of liquid chromatography (LC) and gas-phase separation by field-asymmetric ion mobility spectrometry (FAIMS) is a powerful proteoform separation system for top-down proteomics. Here, we present an in-depth top-down proteomics workflow, GeLC-FAIMS-MS, in which a molecular-weight-based proteome fractionation approach using SDS-polyacrylamide gel electrophoresis is performed prior to LC-FAIMS-MS. Since individual bands and their corresponding mass ranges require different compensating voltages (CVs), the MS parameters for each gel band and CV were optimized to increase the number and reliability of proteoform identifications further. We developed an easy-to-implement and inexpensive procedure combining the earlier established Passively Eluting Proteins from Polyacrylamide gels as Intact species (PEPPI) protocol with an optimized Anion-Exchange disk-assisted Sequential sample Preparation (AnExSP) method for the removal of stains and SDS. The protocol was compared with a methanol-chloroform-water (MCW)-based protein precipitation protocol. The results show that the PEPPI-AnExSP procedure is better suited for the identification of low-molecular-weight proteoforms, whereas the MCW-based protocol showed advantages for higher-molecular-weight proteoforms. Moreover, complementary results were observed with the two methods in terms of hydrophobicity and isoelectric points of the identified proteoforms. In total, 8500 proteoforms could be identified in a human proteome standard, showing the effectiveness of the gel-based sample fractionation approaches in combination with LC-FAIMS-MS.
液相色谱(LC)与场不对称离子淌度谱(FAIMS)气相分离的组合是一种强大的用于自上而下蛋白质组学的蛋白质构象分离系统。在这里,我们提出了一种深入的自上而下的蛋白质组学工作流程,GeLC-FAIMS-MS,其中在 LC-FAIMS-MS 之前使用 SDS-聚丙烯酰胺凝胶电泳进行基于分子量的蛋白质组分级方法。由于单个条带及其相应的质量范围需要不同的补偿电压(CV),因此优化了每个凝胶条带和 CV 的 MS 参数,以进一步增加蛋白质构象鉴定的数量和可靠性。我们开发了一种易于实施且成本低廉的程序,该程序结合了先前建立的 Passively Eluting Proteins from Polyacrylamide gels as Intact species (PEPPI) 方案和优化的阴离子交换盘辅助顺序样品制备(AnExSP)方法,用于去除染色剂和 SDS。该方案与甲醇-氯仿-水(MCW)为基础的蛋白质沉淀方案进行了比较。结果表明,PEPPI-AnExSP 程序更适合低分子量蛋白质构象的鉴定,而基于 MCW 的方案则更适合高分子量蛋白质构象的鉴定。此外,两种方法在鉴定的蛋白质构象的疏水性和等电点方面观察到互补的结果。总的来说,在人类蛋白质标准品中可以鉴定出 8500 种蛋白质构象,这表明基于凝胶的样品分级方法与 LC-FAIMS-MS 结合的有效性。