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植物科学中的碳水化合物微阵列

Carbohydrate microarrays in plant science.

作者信息

Fangel Jonatan U, Pedersen Henriette L, Vidal-Melgosa Silvia, Ahl Louise I, Salmean Armando Asuncion, Egelund Jack, Rydahl Maja Gro, Clausen Mads H, Willats William G T

机构信息

Department of Plant Biology and Biotechnology, University of Copenhagen, Frederiksberg, Denmark.

出版信息

Methods Mol Biol. 2012;918:351-62. doi: 10.1007/978-1-61779-995-2_19.

Abstract

Almost all plant cells are surrounded by glycan-rich cell walls, which form much of the plant body and collectively are the largest source of biomass on earth. Plants use polysaccharides for support, defense, signaling, cell adhesion, and as energy storage, and many plant glycans are also important industrially and nutritionally. Understanding the biological roles of plant glycans and the effective exploitation of their useful properties requires a detailed understanding of their structures, occurrence, and molecular interactions. Microarray technology has revolutionized the massively high-throughput analysis of nucleotides, proteins, and increasingly carbohydrates. Using microarrays, the abundance of and interactions between hundreds and thousands of molecules can be assessed simultaneously using very small amounts of analytes. Here we show that carbohydrate microarrays are multifunctional tools for plant research and can be used to map glycan populations across large numbers of samples to screen antibodies, carbohydrate binding proteins, and carbohydrate binding modules and to investigate enzyme activities.

摘要

几乎所有植物细胞都被富含聚糖的细胞壁所包围,细胞壁构成了植物体的大部分,并且总体上是地球上最大的生物质来源。植物利用多糖来提供支撑、进行防御、信号传导、细胞黏附以及储存能量,许多植物聚糖在工业和营养方面也很重要。要理解植物聚糖的生物学作用并有效利用其有用特性,就需要详细了解它们的结构、存在情况以及分子相互作用。微阵列技术彻底改变了对核苷酸、蛋白质以及越来越多的碳水化合物的大规模高通量分析。使用微阵列,可以用非常少量的分析物同时评估成百上千种分子的丰度及其相互作用。在这里,我们展示了碳水化合物微阵列是用于植物研究的多功能工具,可用于绘制大量样本中的聚糖图谱,以筛选抗体、碳水化合物结合蛋白和碳水化合物结合模块,并研究酶活性。

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