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N-Glycan Profiling by Microchip Electrophoresis to Differentiate Disease States Related to Esophageal Adenocarcinoma

机译:芯片电泳法分析N-糖基蛋白以区分与食管腺癌相关的疾病

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摘要

We report analysis of N-glycans derived from disease-free individuals and patients with Barrett's esophagus, high-grade dysplasia, and esophageal adenocarcinoma by microchip electrophoresis with laser-induced fluorescence detection. Serum samples in 10 (mu)L aliquots are enzymatically treated to cleave the N-glycans that are subsequently reacted with 8-aminopyrene-1,3,6-trisulfonic acid to add charge and a fluorescent label. Separations at 1250 V/cm and over 22 cm yielded efficiencies up to 700 000 plates for the N-glycans and analysis times under 100 s. Principal component analysis (PCA) and analysis of variance (ANOVA) tests of the peak areas and migration times are used to evaluate N-glycan profiles from native and desialylated samples and determine differences among the four sample groups. With microchip electrophoresis, we are able to distinguish the three patient groups from each other and from disease-free individuals.
机译:我们报告通过激光诱导荧光检测通过微芯片电泳分析无病个体和Barrett食管,高度不典型增生和食管腺癌患者的N-聚糖。酶法处理10μL等分试样中的血清样品,以裂解N-聚糖,随后将其与8-氨基py-1,3,6-三磺酸反应以添加电荷和荧光标记。在1250 V / cm和22 cm以上的分离条件下,N-聚糖的分离效率高达70万板,分析时间不到100 s。峰面积和迁移时间的主成分分析(PCA)和方差分析(ANOVA)测试用于评估天然样品和脱唾液酸样品的N-聚糖谱,并确定四个样品组之间的差异。借助微芯片电泳,我们可以将三个患者组彼此区分,也可以将其与无病患者区分。

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