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Screening of glycosylation patterns in serum using natural glycoprotein microarrays and multi-lectin fluorescence detection

机译:使用天然糖蛋白微阵列和多凝集素荧光检测筛选血清中的糖基化模式

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Protein glycosylation has been implicated in key biological processes including immunological recognition, cellular adhesion, protein folding, and signaling as well as disease progression. Although several methods are available to assess glycosylation of protein structures, none of them is able to screen complex biological samples at a global as well as an individual scale. A novel strategy presented here uses an all-liquid phase enrichment and prefractionation methodology coupled to glycoprotein microarray technology using a multiple lectin-based, biotin-streptavidin detection scheme. Selective detection of glycan structures was made possible by employing multiple lectins to screen glycoprotein standards as well as serum samples from normal subjects or patients with chronic pancreatitis or pancreatic cancer. Interestingly, in some instances, a greater degree of glycosylation was seen in proteins that were underexpressed based on the reversed-phase chromatogram alone. Studies with standard proteins established the limits of detection to be in the 2.5-5-fmol range. Studies on serum samples showed differences in glycosylation patterns, particularly with respect to sialylation, mannosylation, and fucosylation, in normal, pancreatitis, and cancer sera. By coupling glycoprotein enrichment and fractionation with a microarray platform, we have shown that naturally occurring glycoproteins from human serum can be screened and characterized for different glycan structures, thereby allowing one to do comparative studies that monitor individual glycosylation changes within a glycoproteome representing different biological states. This approach may be useful to identify potential biomarkers in cancer.
机译:蛋白质糖基化与关键的生物学过程有关,包括免疫识别、细胞粘附、蛋白质折叠和信号传导以及疾病进展。尽管有几种方法可用于评估蛋白质结构的糖基化,但它们都无法在全球范围内和个体范围内筛选复杂的生物样品。这里介绍的一种新策略使用全液相富集和预分馏方法,与糖蛋白微阵列技术相结合,使用基于多种凝集素的生物素-链霉亲和素检测方案。通过使用多种凝集素来筛选糖蛋白标准品以及来自正常受试者或慢性胰腺炎或胰腺癌患者的血清样本,可以选择性检测聚糖结构。有趣的是,在某些情况下,仅根据反相色谱图在表达不足的蛋白质中观察到更大程度的糖基化。对标准蛋白的研究确定检测限在 2.5-5-fmol 范围内。对血清样本的研究表明,在正常、胰腺炎和癌症血清中,糖基化模式存在差异,特别是在唾液酸化、甘露糖基化和岩藻糖基化方面。通过将糖蛋白富集和分离与微阵列平台偶联,我们已经证明,可以筛选和表征人血清中天然存在的糖蛋白,以表征不同的聚糖结构,从而允许人们进行比较研究,以监测代表不同生物状态的糖蛋白组内的个体糖基化变化。这种方法可能有助于识别癌症中潜在的生物标志物。

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