Lin Ding Chiao, Lih T Mamie, Liu Hongyi, Zhang Hui
Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States.
Anal Chem. 2024 Dec 3;96(48):19074-19083. doi: 10.1021/acs.analchem.4c04286. Epub 2024 Nov 18.
Almost all proteins on the cell surface are modified by glycosylation. Cell surface glycoproteins participate in various cellular pathways, such as cell adhesion, cell-cell communication, and immune response. Due to their functional importance, glycoproteins on the cell surface often serve as potential therapeutic targets. Recent advancements in mass spectrometry (MS) have facilitated the characterization of glycoproteins that are generally localized on the cell surface, secreted to the extracellular environment, or found in intracellular organelles such as the endoplasmic reticulum, Golgi apparatus, and peroxisome. However, the selective characterization of glycoproteins on the cell surface remains challenging. In this study, we applied enzymatic treatment to live cells, followed by MS-based glycoproteomics analysis, to assess changes in protein glycosylation at different treatment time points as a method to identify cell surface glycoproteins. To demonstrate this approach, a renal cell carcinoma cell line, A498, was treated with glycosidases, sialidase and PNGase F, over two treatment time intervals, 2 and 24 h. Glycoproteins were identified as cell surface glycoproteins from A498 cells when enzyme treatment altered the glycosylation of the glycoproteins. The results revealed the effectiveness of integrating enzymatic treatment with MS-based glycoproteomics for analyzing cell surface glycoproteins. Our established method has demonstrated the potential applications for assessing accessibility of therapeutic targets on the cell surface over time and supporting the development of new targeted therapies.
几乎所有细胞表面的蛋白质都经过糖基化修饰。细胞表面糖蛋白参与多种细胞途径,如细胞黏附、细胞间通讯和免疫反应。由于其功能重要性,细胞表面糖蛋白常作为潜在的治疗靶点。质谱(MS)技术的最新进展有助于对通常位于细胞表面、分泌到细胞外环境或存在于内质网、高尔基体和过氧化物酶体等细胞内细胞器中的糖蛋白进行表征。然而,对细胞表面糖蛋白进行选择性表征仍然具有挑战性。在本研究中,我们对活细胞进行酶处理,随后进行基于质谱的糖蛋白质组学分析,以评估不同处理时间点蛋白质糖基化的变化,作为识别细胞表面糖蛋白的一种方法。为了证明这种方法,我们在两个处理时间间隔(2小时和24小时)内,用糖苷酶、唾液酸酶和PNGase F处理肾癌细胞系A498。当酶处理改变糖蛋白的糖基化时,这些糖蛋白被鉴定为A498细胞的细胞表面糖蛋白。结果表明,将酶处理与基于质谱的糖蛋白质组学相结合用于分析细胞表面糖蛋白是有效的。我们建立的方法已证明在评估细胞表面治疗靶点随时间的可及性以及支持新的靶向治疗开发方面的潜在应用。