High-throughput, multiplexed IgG subclassing of antigen-specific antibodies from clinical samples
High-throughput, multiplexed IgG subclassing of antigen-specific antibodies from clinical samples
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DOI：
10.1016/j.jim.2012.09.007
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发表时间：
2012-12-14
影响因子：
2.2
通讯作者：
Ackerman, Margaret E.
中科院分区：
文献类型：
--
作者：
Brown, Eric P.;Licht, Anna F.;Ackerman, Margaret E.
在体内，抗体的活性主要依赖于负责抗原识别的可变区和负责天然免疫识别的恒定区的性质。在这里，我们描述了一种灵活的、基于微球的阵列格式，用于从复杂的多克隆临床血清样本中捕获关于疾病特异性抗体的两个功能端的信息。使用最低限度的血清，我们展示了多种抗体特异性的Ig G亚类分布。我们进一步捕获和确定表位特异性抗体的亚类。该阵列中产生的数据提供了体液免疫反应的概况，以及关于可变和恒定Ig G结构域的属性的多维度量。值得注意的是，这些属性被同时评估，因此关于可变结构域特征和恒定结构域特征之间的关系的信息被捕获，并且可以用于预测诸如抗体效应器活性的功能。(C)2012爱思唯尔B.V.保留所有权利。
In vivo, the activity of antibodies relies critically on properties of both the variable domain, responsible for antigen recognition, and the constant domain, responsible for innate immune recognition. Here, we describe a flexible, microsphere-based array format for capturing information about both functional ends of disease-specific antibodies from complex, polyclonal clinical serum samples. Using minimal serum, we demonstrate IgG subclass profiling of multiple antibody specificities. We further capture and determine the subclass of epitope-specific antibodies. The data generated in this array provides a profile of the humoral immune response with multi-dimensional metrics regarding properties of both variable and constant IgG domains. Significantly, these properties are assessed simultaneously, and therefore information about the relationship between variable and constant domain characteristics is captured, and can be used to predict functions such as antibody effector activity. (C) 2012 Elsevier B.V. All rights reserved.