Xia Li, Gildersleeve Jeffrey C
Chemical Biology Laboratory, National Cancer Institute, 376 Boyles Street, Building 376, Frederick, MD, 21702, USA.
Methods Mol Biol. 2015;1331:27-40. doi: 10.1007/978-1-4939-2874-3_3.
Carbohydrate antigens are important targets for the immune system, but identification of key glycan antigens is challenging. Direct analysis of glycomes by mass spectrometry is difficult, and detection reagents, such as monoclonal antibodies and lectins, are only available for a small subset of glycans. An alternative approach involves profiling serum anti-glycan antibody populations to identify unique antibodies or changes in antibody subpopulations. Glycan microarray technology allows rapid evaluation of hundreds to thousands of antigen-antibody interactions in a single experiment. This high-throughput format is particularly useful in profiling complex anti-glycan antibodies in serum. Here we elaborate the use of this technology to explore clinically relevant carbohydrate antigens by profiling serum anti-glycan antibodies. Detailed protocols from glycan microarray fabrication to microarray binding assays and analysis of microarray data are presented.
碳水化合物抗原是免疫系统的重要靶点,但关键聚糖抗原的鉴定具有挑战性。通过质谱直接分析糖组很困难,而且检测试剂,如单克隆抗体和凝集素,仅适用于一小部分聚糖。另一种方法是对血清抗聚糖抗体群体进行分析,以鉴定独特的抗体或抗体亚群的变化。聚糖微阵列技术允许在单个实验中快速评估数百到数千种抗原 - 抗体相互作用。这种高通量形式在分析血清中复杂的抗聚糖抗体方面特别有用。在这里,我们阐述了通过分析血清抗聚糖抗体来利用该技术探索临床相关碳水化合物抗原的方法。本文介绍了从聚糖微阵列制备到微阵列结合测定以及微阵列数据分析的详细方案。