Gimenez Gustavo, Benedé Sara, Lin Jing
Pediatric Allergy and Immunology, Icahn School of Medicine at Mount Sinai, Box 1089, One Gustave L. Levy Place, New York, NY, 10029-6574, USA.
Institute of Food Science Research (CIAL) CSIC-UAM, Madrid, Spain.
Methods Mol Biol. 2016;1352:251-61. doi: 10.1007/978-1-4939-3037-1_19.
IgE epitope mapping of food allergens contributes to a better understanding of the pathogenesis of food allergy and may become an additional tool for food allergy diagnosis/prognosis. Microarray platforms which allow for simultaneous screening of a large number of peptides corresponding to the sequences of food allergens are ideally suited for large-scale IgE epitope mapping. Here we describe the method of performing a reliable and sensitive peptide microarray immunoassay, which was developed in our lab and results in the identification of candidate IgE epitope biomarkers useful in determining allergic disease severity and prognosis, as well as in the prediction of treatment outcomes. A gastric digestion model that can be applied to prescreen peptides and reduce costs in the peptide microarray is also described in this chapter.
食物过敏原的IgE表位作图有助于更好地理解食物过敏的发病机制，并且可能成为食物过敏诊断/预后的一种辅助工具。能够同时筛选大量与食物过敏原序列相对应的肽段的微阵列平台非常适合大规模的IgE表位作图。在此，我们描述了一种可靠且灵敏的肽微阵列免疫分析方法，该方法是我们实验室开发的，可用于鉴定有助于确定过敏性疾病严重程度和预后以及预测治疗结果的候选IgE表位生物标志物。本章还介绍了一种可用于预筛选肽段并降低肽微阵列成本的胃消化模型。
