用于生物标志物发现的糖蛋白分析。
Analysis of glycoproteins for biomarker discovery.
作者信息
He Jintang, Liu Yashu, Wu Jing, Lubman David M
机构信息
Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, USA.
出版信息
Methods Mol Biol. 2013;1002:115-22. doi: 10.1007/978-1-62703-360-2_10.
Abstract
Glycoproteins play an important role in cell signaling and cell-cell interaction. The alterations of glycoproteins are often relevant to progression of diseases, and these changed glycoproteins can be important biomarkers. The lectin-based glycoproteomic technology has extensively been used for high-throughput screening of potential glycoprotein biomarkers. Here we describe a multi-lectin affinity chromatography and label-free quantitative glycoproteomic approach for discovery of glycoprotein biomarkers relevant to differentiation of glioblastoma stem cells.
摘要
糖蛋白在细胞信号传导和细胞间相互作用中发挥着重要作用。糖蛋白的改变通常与疾病进展相关，这些变化的糖蛋白可能是重要的生物标志物。基于凝集素的糖蛋白质组学技术已广泛用于高通量筛选潜在的糖蛋白生物标志物。在此，我们描述了一种多凝集素亲和色谱和无标记定量糖蛋白质组学方法，用于发现与胶质母细胞瘤干细胞分化相关的糖蛋白生物标志物。
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本文引用的文献
1
Glycoproteomic analysis of glioblastoma stem cell differentiation.脑胶质瘤干细胞分化的糖蛋白质组学分析。
J Proteome Res. 2011 Jan 7;10(1):330-8. doi: 10.1021/pr101158p. Epub 2010 Dec 16.
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Identification of cell surface glycoprotein markers for glioblastoma-derived stem-like cells using a lectin microarray and LC-MS/MS approach.采用凝集素微阵列和 LC-MS/MS 方法鉴定神经胶质瘤源性干细胞样细胞的表面糖蛋白标志物。
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Lectin-based glycoproteomics to explore and analyze hepatocellular carcinoma-related glycoprotein markers.基于凝集素的糖蛋白质组学用于探索和分析肝细胞癌相关糖蛋白标志物。
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