School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Anal Chem. 2019 Mar 19;91(6):4195-4203. doi: 10.1021/acs.analchem.9b00441. Epub 2019 Mar 5.
The cell surface is normally covered with sugars that are bound to lipids or proteins. Surface glycoproteins play critically important roles in many cellular events, including cell-cell communications, cell-matrix interactions, and response to environmental cues. Aberrant protein glycosylation on the cell surface is often a hallmark of human diseases such as cancer and infectious diseases. Global analysis of surface glycoproteins will result in a better understanding of glycoprotein functions and the molecular mechanisms of diseases and the discovery of surface glycoproteins as biomarkers and drug targets. Here, an enzyme is exploited to tag surface glycoproteins, generating a chemical handle for their selective enrichment prior to mass spectrometric (MS) analysis. The enzymatic reaction is very efficient, and the reaction conditions are mild, which are well-suited for surface glycoprotein tagging. For biologically triplicate experiments, on average 953 N-glycosylation sites on 393 surface glycoproteins per experiment were identified in MCF7 cells. Integrating chemical and enzymatic reactions with MS-based proteomics, the current method is highly effective to globally and site-specifically analyze glycoproteins only located on the cell surface. Considering the importance of surface glycoproteins, this method is expected to have extensive applications to advance glycoscience.
细胞表面通常覆盖着与脂质或蛋白质结合的糖。表面糖蛋白在许多细胞事件中起着至关重要的作用,包括细胞间通讯、细胞-基质相互作用以及对环境信号的反应。细胞表面蛋白质异常糖基化通常是人类疾病(如癌症和传染病)的标志。对表面糖蛋白的全面分析将有助于更好地了解糖蛋白的功能和疾病的分子机制,并发现表面糖蛋白作为生物标志物和药物靶点。在这里,利用一种酶来标记表面糖蛋白,为其在质谱(MS)分析前的选择性富集生成一个化学标记。酶反应非常高效,反应条件温和,非常适合表面糖蛋白标记。对于生物学重复实验,在 MCF7 细胞中,每个实验平均可鉴定到 393 种表面糖蛋白中的 953 个 N-糖基化位点。通过将化学和酶反应与基于 MS 的蛋白质组学相结合,该方法非常有效地实现了仅位于细胞表面的糖蛋白的全面和特异性分析。考虑到表面糖蛋白的重要性,该方法有望广泛应用于推进糖科学。