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采用微芯片电泳技术进行 N-糖链分析,以区分与食管腺癌相关的疾病状态。

N-glycan profiling by microchip electrophoresis to differentiate disease states related to esophageal adenocarcinoma.

机构信息

Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.

出版信息

Anal Chem. 2012 Apr 17;84(8):3621-7. doi: 10.1021/ac203431s. Epub 2012 Apr 3.

Abstract

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 μL 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.

摘要

我们通过微芯片电泳结合激光诱导荧光检测分析了来自无病个体和 Barrett 食管、高级别异型增生和食管腺癌患者的 N-糖链。将 10 μL 等分血清样品进行酶处理以切割 N-糖链,然后与 8-氨基芘-1,3,6-三磺酸反应以增加电荷和荧光标记。在 1250 V/cm 和 22 cm 以上的分离条件下,N-糖链的效率高达 700,000 板,分析时间在 100 s 以下。主成分分析(PCA)和方差分析(ANOVA)测试用于评估来自天然和去唾液酸样品的 N-糖链图谱,并确定四个样品组之间的差异。通过微芯片电泳,我们能够将这三组患者彼此区分开来,也能与无病个体区分开来。

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