Zhao Jia, Qiu Weilian, Simeone Diane M, Lubman David M
Department of Chemistry, The University of Michigan, Ann Arbor, Michigan 48109-1055, USA.
J Proteome Res. 2007 Mar;6(3):1126-38. doi: 10.1021/pr0604458. Epub 2007 Jan 24.
Glycoproteins play important roles in various biological processes including intracellular transport, cell recognition, and cell-cell interactions. The change of the cellular glycosylation profile may have profound effects on cellular homeostasis and malignancy. Therefore, we have developed a sensitive screening approach for the comprehensive analysis of N-glycans and glycosylation sites on human serum proteins. Using this approach, N-linked glycopeptides were extracted by double lectin affinity chromatography. The glycans were enzymatically cleaved from the peptides and then profiled using capillary hydrophilic interaction liquid chromatography coupled online with ESI-TOF MS. The structures of the separated glycans were determined by MALDI quadrupole ion-trap TOF mass spectrometry in both positive and negative modes. The glycosylation sites were elucidated by sequencing of PNGase F modified glycopeptides using nanoRP-LC-ESI-MS/MS. Alterations of glycosylation were analyzed by comparing oligosaccharide expression of serum glycoproteins at different disease stages. The efficiency of this method was demonstrated by the analysis of pancreatic cancer serum compared to normal serum. Ninety-two individual glycosylation sites and 202 glycan peaks with 105 unique carbohydrate structures were identified from approximately 25 mug glycopeptides. Forty-four oligosaccharides were found to be distinct in the pancreatic cancer serum. Increased branching of N-linked oligosaccharides and increased fucosylation and sialylation were observed in samples from patients with pancreatic cancer. The methodology described in this study may elucidate novel, cancer-specific oligosaccharides and glycosylation sites, some of which may have utility as useful biomarkers of cancer.
糖蛋白在包括细胞内运输、细胞识别和细胞间相互作用在内的各种生物过程中发挥着重要作用。细胞糖基化谱的变化可能对细胞内稳态和恶性肿瘤产生深远影响。因此,我们开发了一种灵敏的筛选方法,用于全面分析人血清蛋白上的N-聚糖和糖基化位点。使用这种方法,通过双凝集素亲和色谱法提取N-连接糖肽。聚糖从肽上酶切下来,然后使用毛细管亲水相互作用液相色谱与ESI-TOF MS在线联用进行分析。分离的聚糖结构通过正、负离子模式的MALDI四极杆离子阱TOF质谱法确定。通过使用nanoRP-LC-ESI-MS/MS对PNGase F修饰的糖肽进行测序来阐明糖基化位点。通过比较不同疾病阶段血清糖蛋白的寡糖表达来分析糖基化的变化。与正常血清相比,通过对胰腺癌血清的分析证明了该方法的有效性。从大约25微克糖肽中鉴定出92个单个糖基化位点和202个聚糖峰,具有105种独特的碳水化合物结构。发现44种寡糖在胰腺癌血清中是不同的。在胰腺癌患者的样本中观察到N-连接寡糖的分支增加以及岩藻糖基化和唾液酸化增加。本研究中描述的方法可能阐明新的、癌症特异性的寡糖和糖基化位点,其中一些可能作为有用的癌症生物标志物。