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Analysis of changes in the glycan composition of serum, cytosol and membrane glycoprotein biomarkers of colorectal cancer using a lectin-based protein microarray

机译:用凝集素的蛋白微阵列分析血清,细胞溶胶和膜糖蛋白生物标志物的血清,细胞溶胶和膜糖蛋白生物标志物的变化

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The altered glycosylation of proteins is a cancer-related marker and the monitoring of glycosylation status can significantly increase the informative value of protein biomarkers. Herein is presented an analytical method for the investigation of the glycan composition of colorectal cancer (CRC) protein biomarkers applied to different sample types using a lectin-based microarray platform. The samples included sera (from healthy persons and patients with CRC), cytosol/membrane protein fractions (from non-tumor and tumor colon tissue), and insulin-like growth factor-binding protein 3 (IGFBP-3) isolated from sera and cytosol/membrane fractions. All samples were spotted into arrays on a microarray slide, and were then incubated with a panel of 14 biotinylated lectins and a fluorescent conjugate of streptavidin. The signal intensities were detected using a microarray scanner. Statistically significant differences (Mann-Whitney test, P < 0.05) in signal intensities were found between the two groups of serum samples (with stronger signal intensities from Sambucus nigra lectin for the samples from patients with CRC than in samples from healthy individuals) and between the two groups of samples containing IGFBP-3 isolated from serum (with stronger signals from Maackia amurensis lectin-II and weaker signals from Aleuria aurantia lectin for the samples from patients with CRC). Weaker signal intensities from Aleuria aurantia lectin were observed also for samples of IGFBP-3 isolated from tumor cell membranes than for IGFBP-3 samples isolated from non-tumor tissue. The described method is applicable to the fast and high-throughput glyco-recognition analysis of differences in glycosylation patterns in various types of samples containing glycoprotein biomarkers.
机译:蛋白质的糖基化改变是癌症相关的标记,并且对糖基化状态的监测可以显着增加蛋白质生物标志物的信息价值。本文介绍了使用凝集素的微阵列平台对不同样品类型应用于不同样品类型的结肠直肠癌(CRC)蛋白生物标志物的糖粉组合物的分析方法。该样品包括血清(来自健康人和CRC的患者),细胞溶溶胶/膜蛋白级分(来自非肿瘤和肿瘤结肠组织),以及从血清和细胞溶溶胶中分离的胰岛素样生长因子结合蛋白3(IGFBP-3) /膜馏分。将所有样品置于微阵列载玻片上的阵列中,然后用14个生物素化的凝集素和链霉抗生物素蛋白的荧光缀合物孵育。使用微阵列扫描仪检测信号强度。两组血清样品中发现信号强度的统计学意义(Mann-Whitney试验,P <0.05)(来自Sambucus nigra凝集素的较强的信号强度,用于来自CRC的患者的样品,而不是来自健康个体的样品)含有从血清中分离的IGFBP-3的两组样品(来自Maackia Amurensis Lectin-II的较强的信号以及来自CRC患者的样品的Aleuria Aurantia凝集素的较弱的信号。观察来自肿瘤细胞膜中分离的IGFBP-3的样品的较弱的信号强度,而不是从非肿瘤组织分离的IGFBP-3样品。所描述的方法适用于含有糖蛋白生物标志物的各种类型样品中糖基化图案的差异的快速和高通量的Glyco识别分析。

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