Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, The Chinese Academy of Sciences, Dalian 116023, China.
Mol Cell Proteomics. 2011 Jul;10(7):M110.006445. doi: 10.1074/mcp.M110.006445. Epub 2011 Apr 7.
A robust, reproducible, and high throughput method was developed for the relative quantitative analysis of glycoprotein abundances in human serum. Instead of quantifying glycoproteins by glycopeptides in conventional quantitative glycoproteomics, glycoproteins were quantified by nonglycosylated peptides derived from the glycoprotein digest, which consists of the capture of glycoproteins in serum samples and the release of nonglycopeptides by trypsin digestion of captured glycoproteins followed by two-dimensional liquid chromatography-tandem MS analysis of released peptides. Protein quantification was achieved by comparing the spectrum counts of identified nonglycosylated peptides of glycoproteins between different samples. This method was demonstrated to have almost the same specificity and sensitivity in glycoproteins quantification as capture at glycopeptides level. The differential abundance of proteins present at as low as nanogram per milliliter levels was quantified with high confidence. The established method was applied to the analysis of human serum samples from healthy people and patients with hepatocellular carcinoma (HCC) to screen differential glycoproteins in HCC. Thirty eight glycoproteins were found with substantial concentration changes between normal and HCC serum samples, including α-fetoprotein, the only clinically used marker for HCC diagnosis. The abundance changes of three glycoproteins, i.e. galectin-3 binding protein, insulin-like growth factor binding protein 3, and thrombospondin 1, which were associated with the development of HCC, were further confirmed by enzyme-linked immunosorbent assay. In conclusion, the developed method was an effective approach to quantitatively analyze glycoproteins in human serum and could be further applied in the biomarker discovery for HCC and other cancers.
开发了一种稳健、可重现且高通量的方法,用于相对定量分析人血清中的糖蛋白丰度。与传统定量糖蛋白质组学通过糖肽定量糖蛋白不同,该方法通过糖蛋白消化物中的非糖肽定量糖蛋白,糖蛋白消化物由血清样品中的糖蛋白捕获和捕获的糖蛋白用胰蛋白酶消化释放非糖肽组成,然后对释放的肽进行二维液相色谱-串联质谱分析。通过比较不同样品中非糖基化糖蛋白的鉴定非糖肽的谱计数来实现蛋白质定量。该方法在糖蛋白定量方面具有与糖肽水平捕获几乎相同的特异性和灵敏度。以纳克/毫升级别的低浓度存在的蛋白质的差异丰度也可以被高置信度定量。该方法已应用于分析来自健康人和肝细胞癌 (HCC) 患者的人血清样本,以筛选 HCC 中的差异糖蛋白。在正常和 HCC 血清样本之间发现了 38 种糖蛋白的浓度发生了实质性变化,包括甲胎蛋白,这是 HCC 诊断中唯一临床使用的标志物。与 HCC 发展相关的三种糖蛋白(即半乳糖凝集素-3 结合蛋白、胰岛素样生长因子结合蛋白 3 和血栓素 1)的丰度变化通过酶联免疫吸附测定进一步得到证实。总之,所开发的方法是一种有效分析人血清中糖蛋白的方法,可进一步应用于 HCC 和其他癌症的生物标志物发现。