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借助微阵列解读糖胺聚糖编码

Deciphering the glycosaminoglycan code with the help of microarrays.

作者信息

de Paz Jose L, Seeberger Peter H

机构信息

Grupo de Carbohidratos, Instituto de Investigaciones Químicas, CSIC, Americo Vespucio 49, E-41092 Seville, Spain.

出版信息

Mol Biosyst. 2008 Jul;4(7):707-11. doi: 10.1039/b802217h. Epub 2008 May 23.

DOI:10.1039/b802217h
PMID:18563243
Abstract

Carbohydrate microarrays have become a powerful tool to elucidate the biological role of complex sugars. Microarrays are particularly useful for the study of glycosaminoglycans (GAGs), a key class of carbohydrates. The high-throughput chip format enables rapid screening of large numbers of potential GAG sequences produced via a complex biosynthesis while consuming very little sample. Here, we briefly highlight the most recent advances involving GAG microarrays built with synthetic or naturally derived oligosaccharides. These chips are powerful tools for characterizing GAG-protein interactions and determining structure-activity relationships for specific sequences. Thereby, they contribute to decoding the information contained in specific GAG sequences.

摘要

碳水化合物微阵列已成为阐明复杂糖类生物学作用的有力工具。微阵列对于研究糖胺聚糖(GAGs)这一关键碳水化合物类别尤为有用。高通量芯片形式能够快速筛选通过复杂生物合成产生的大量潜在GAG序列,同时消耗极少的样品。在此,我们简要介绍涉及用合成或天然衍生寡糖构建的GAG微阵列的最新进展。这些芯片是表征GAG-蛋白质相互作用以及确定特定序列结构-活性关系的有力工具。因此,它们有助于解读特定GAG序列中包含的信息。

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