首页> 外文期刊>International journal of bioinformatics research and applications >Processing and analysis of serum antibody binding signals from Printed Glycan Arrays for diagnostic and prognostic applications.
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Processing and analysis of serum antibody binding signals from Printed Glycan Arrays for diagnostic and prognostic applications.

机译:处理和分析来自印刷聚糖阵列的血清抗体结合信号,用于诊断和预后应用。

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摘要

Procedures for data preprocessing, quality control, data analysis, evaluation and visualization of the new high-throughput biomarker platform based on printed glycan arrays (PGA) are presented in this paper. PGAs are similar in concept to DNA arrays but contain deposits of various carbohydrate structures (glycans) instead of spotted DNAs. PGA biomarker discovery for the early detection, diagnosis and prognosis of human malignancies and viral diseases is based on the response of the immune system as measured by the level of binding of anti-glycan antibodies from human serum to the glycans on the array. Procedures related to PGA data processing are herein demonstrated in a pilot study of cases representing 50 sera from patients with malignant mesothelioma and a control sample of 65 sera from high risk subjects exposed to asbestos without symptoms of disease.
机译:本文介绍了基于印刷聚糖阵列(PGA)的新型高通量生物标志物平台的数据预处理,质量控制,数据分析,评估和可视化过程。 PGA在概念上与DNA阵列相似,但包含各种碳水化合物结构(聚糖)的沉积物而不是斑点DNA。用于人类恶性肿瘤和病毒性疾病的早期检测,诊断和预后的PGA生物标志物的发现基于免疫系统的反应,该反应是通过人血清中抗聚糖抗体与阵列上聚糖的结合水平来衡量的。本文在涉及恶性间皮瘤患者的50份血清和来自暴露于无疾病症状的高风险受试者的65份血清的对照样本的初步研究中证明了与PGA数据处理有关的程序。

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