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用于纳米级生物医学检测的凝集素糖阵列技术

Lectin glycoarrays technologies for nanoscale biomedical detection.

作者信息

Chan Ki, Ng Tzi Bun

机构信息

Biomedical and Tissue Engineering Research Group, Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, 34 Hospital Road, Hong Kong, China.

出版信息

Protein Pept Lett. 2010 Nov;17(11):1417-25. doi: 10.2174/0929866511009011417.

Abstract

Microarray technologies have begun to feature widely in biomedical science. These techniques, allow for high throughput and quantitative analysis of protein-carbohydrate interactions. Lectin and antibody have been evaluated with these new techniques which extend to the detection of viruses and bacteria. This review outlines some of the basic principles of 'glycoarrays' and illustrates their recent applications. Moreover, the review also gives an overview about a recently launched powerful detection platform using lectin microarrays with a potential to revolutionize the use of lectins in biomedical diagnosis and glycomics in general. In addition, two analytical techniques including mass spectrometry and glycan microarrays expected to play important role to characterize binding profile of new lectins are described in brief. Finally, strong and weak points of lectins as biorecognition molecules currently used in biomedical diagnosis are shown with conclusions drawn from molecular modelling of biorecognition events.

摘要

微阵列技术已开始在生物医学科学中广泛应用。这些技术能够对蛋白质 - 碳水化合物相互作用进行高通量和定量分析。利用这些新技术对凝集素和抗体进行了评估,这些技术还扩展到病毒和细菌的检测。本综述概述了“糖芯片”的一些基本原理,并阐述了其近期的应用。此外,该综述还概述了一个最近推出的强大检测平台,该平台使用凝集素微阵列,有可能彻底改变凝集素在生物医学诊断和一般糖组学中的应用。此外,还简要介绍了两种有望在表征新凝集素结合谱方面发挥重要作用的分析技术,即质谱和聚糖微阵列。最后,展示了目前用于生物医学诊断的凝集素作为生物识别分子的优缺点,并从生物识别事件的分子建模中得出结论。

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