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使用碳水化合物抗原微阵列分析人血清抗体。

Profiling human serum antibodies with a carbohydrate antigen microarray.

作者信息

Oyelaran Oyindasola, McShane Lisa M, Dodd Lori, Gildersleeve Jeffrey C

机构信息

Laboratory of Medicinal Chemistry, National Cancer Institute, Frederick, MD 21702, USA.

出版信息

J Proteome Res. 2009 Sep;8(9):4301-10. doi: 10.1021/pr900515y.

Abstract

Carbohydrate antigen arrays (glycan arrays) have been recently developed for the high-throughput analysis of carbohydrate macromolecule interactions. When profiling serum, information about experimental variability, interindividual biological variability, and intraindividual temporal variability is critical. In this report, we describe the characterization of a carbohydrate antigen array and assay for profiling human serum. Through optimization of assay conditions and development of a normalization strategy, we obtain highly reproducible results with a within-experiment coefficient of variation (CV) of 10.8% and an overall CV (across multiple batches of slides and days) of 28.5%. We also report antibody profiles for 48 human subjects and evaluate for the first time the effects of age, race, sex, geographic location, and blood type on antibody profiles for a large set of carbohydrate antigens. We found significant dependence on age and blood type of antibody levels for a variety of carbohydrates. Finally, we conducted a longitudinal study with a separate group of 7 serum donors to evaluate the variation in anti-carbohydrate antibody levels within an individual over a period ranging from 3 to 13 weeks and found that, for nearly all antigens on our array, antibody levels are generally stable over this period. The results presented here provide the most comprehensive evaluation of experimental and biological variation reported to date for a glycan array and have significant implications for studies involving human serum profiling.

摘要

碳水化合物抗原阵列(聚糖阵列)最近已被开发用于碳水化合物大分子相互作用的高通量分析。在分析血清时,关于实验变异性、个体间生物学变异性和个体内时间变异性的信息至关重要。在本报告中,我们描述了一种用于分析人血清的碳水化合物抗原阵列及其检测方法的特性。通过优化检测条件和制定标准化策略,我们获得了高度可重复的结果,实验内变异系数(CV)为10.8%,总体变异系数(跨多批玻片和多天)为28.5%。我们还报告了48名人类受试者的抗体谱,并首次评估了年龄、种族、性别、地理位置和血型对一大组碳水化合物抗原抗体谱的影响。我们发现多种碳水化合物的抗体水平显著依赖于年龄和血型。最后,我们对另一组7名血清供体进行了纵向研究,以评估个体在3至13周内抗碳水化合物抗体水平的变化,发现对于我们阵列上几乎所有的抗原,在此期间抗体水平通常是稳定的。本文给出的结果提供了迄今为止关于聚糖阵列实验和生物学变异的最全面评估,对涉及人血清分析的研究具有重要意义。

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