Department of Cell and Regenerative Biology, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
Molecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
Anal Chem. 2017 May 16;89(10):5467-5475. doi: 10.1021/acs.analchem.7b00380. Epub 2017 May 2.
Mass spectrometry (MS)-based top-down proteomics is a powerful method for the comprehensive analysis of proteoforms that arise from genetic variations and post-translational modifications (PTMs). However, top-down MS analysis of high molecular weight (MW) proteins remains challenging mainly due to the exponential decay of signal-to-noise ratio with increasing MW. Size exclusion chromatography (SEC) is a favored method for size-based separation of biomacromolecules but typically suffers from low resolution. Herein, we developed a serial size exclusion chromatography (sSEC) strategy to enable high-resolution size-based fractionation of intact proteins (10-223 kDa) from complex protein mixtures. The sSEC fractions could be further separated by reverse phase chromatography (RPC) coupled online with high-resolution MS. We have shown that two-dimensional (2D) sSEC-RPC allowed for the identification of 4044 more unique proteoforms and a 15-fold increase in the detection of proteins above 60 kDa, compared to one-dimensional (1D) RPC. Notably, effective sSEC-RPC separation of proteins significantly enhanced the detection of high MW proteins up to 223 kDa and also revealed low abundance proteoforms that are post-translationally modified. This sSEC method is MS-friendly, robust, and reproducible and, thus, can be applied to both high-efficiency protein purification and large-scale proteomics analysis of cell or tissue lysate for enhanced proteome coverage, particularly for low abundance and high MW proteoforms.
基于质谱(MS)的自上而下的蛋白质组学是一种强大的方法,可用于全面分析遗传变异和翻译后修饰(PTM)产生的蛋白质形式。然而,由于分子量(MW)增加导致信噪比呈指数衰减,因此对高分子量(MW)蛋白质进行自上而下的 MS 分析仍然具有挑战性。尺寸排阻色谱(SEC)是基于大小的生物大分子分离的首选方法,但通常分辨率较低。在此,我们开发了一种串联尺寸排阻色谱(sSEC)策略,可实现复杂蛋白质混合物中完整蛋白质(10-223 kDa)的高分辨率基于大小的分级分离。sSEC 级分可以通过反相色谱(RPC)进一步分离,并在线与高分辨率 MS 耦合。我们已经表明,与一维(1D)RPC 相比,二维(2D)sSEC-RPC 允许鉴定出 4044 个更多独特的蛋白质形式,并且可以检测到超过 60 kDa 的蛋白质增加了 15 倍。值得注意的是,有效的 sSEC-RPC 蛋白质分离显著提高了高达 223 kDa 的高 MW 蛋白质的检测,并且还揭示了经过翻译后修饰的低丰度蛋白质形式。该 sSEC 方法对 MS 友好、稳健且可重复,因此可应用于高效蛋白质纯化和细胞或组织裂解物的大规模蛋白质组学分析,以增强蛋白质组覆盖度,特别是对于低丰度和高 MW 蛋白质形式。