The Fifth People's Hospital of Shanghai and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, People's Republic of China; Department of Chemistry, Fudan University, Shanghai 200433, People's Republic of China.
Department of Chemistry, Fudan University, Shanghai 200433, People's Republic of China.
Talanta. 2019 Jul 1;199:254-261. doi: 10.1016/j.talanta.2019.02.010. Epub 2019 Feb 8.
N-glycosylation is deeply involved in many biological processes, and approximately 50% of mammalian proteins are predicted to be glycosylated. Many large-scale studies have been carried out to reveal the glycosylation status involved in different physiological pathologies across species. However, the lack of a highly specific and high-throughput N-glycosylated enrichment method not only results in extended time requirements but also limits the depth of mapping when handling a large number of samples. In this study, we firstly optimized traditional zwitterionic hydrophilic interaction liquid chromatography (ZIC-HILIC) enrichment and found that using of 70% acetonitrile (ACN), 0.1% trifluoroacetic acid (TFA) as the enrichment buffer, 2800 g as the washing speed and 600 μL as the washing volume achieved the best specificity, which is higher than 75%. On this basis, we developed a multi-parallel enrichment strategy assisted by a filter-coated 96-well plate, which achieved high specificity and high throughput simultaneously. This strategy allowed us to enrich large numbers of fractionated samples from hepatocellular carcinoma (HCC) cell lines in less than 2 h. Its good specificity helped us achieve in-depth mapping of the N-glycoproteome in metastatic HCC cell lines. A total of 5466 N-glycosites from 2383 glycoproteins were identified, among which 1900 N-glycosites were unannotated in UniProt. The in-depth glycoproteome mapping provides insight into the N-glycosylation status in HCC cell lines with differences in metastatic potential and contributes to biomarker discovery.
N-糖基化广泛参与多种生物学过程,据预测约 50%的哺乳动物蛋白发生糖基化。大量的大规模研究已经揭示了不同物种中涉及不同生理病理的糖基化状态。然而,缺乏一种高度特异和高通量的 N-糖基化富集方法不仅导致时间延长,而且在处理大量样本时限制了图谱的深度。在本研究中,我们首先优化了传统的两性离子亲水作用色谱(ZIC-HILIC)富集方法,发现使用 70%乙腈(ACN)、0.1%三氟乙酸(TFA)作为富集缓冲液、2800g 作为洗涤速度和 600μL 作为洗涤体积可获得最佳特异性,高于 75%。在此基础上,我们开发了一种由过滤涂层 96 孔板辅助的多平行富集策略,同时实现了高特异性和高通量。该策略允许我们在不到 2 小时内从肝癌(HCC)细胞系中对大量分馏样本进行富集。其良好的特异性有助于我们深入绘制转移性 HCC 细胞系中的 N-糖蛋白质组图谱。共鉴定到 2383 种糖蛋白中的 5466 个 N-糖基化位点,其中 1900 个 N-糖基化位点在 UniProt 中未注释。深入的糖蛋白质组图谱为具有不同转移潜能的 HCC 细胞系中的 N-糖基化状态提供了深入的了解,并有助于生物标志物的发现。