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使用碳水化合物微阵列分析技术对多糖进行分析

Analyses of Polysaccharides Using Carbohydrate Microarray Profiling.

作者信息

Ahl Louise I, Grace Olwen M, Pedersen Henriette L, Willats William G T, Jørgensen Bodil, Rønsted Nina

机构信息

Natural History Museum of Denmark, University of Copenhagen, Faculty of Science, Sølvgade 83S, DK-1307 Copenhagen K, Denmark.

Royal Botanic Gardens, Comparative Plant and Fungal Biology, Kew, Surrey TW9 3AE, United Kingdom.

出版信息

J AOAC Int. 2018 Nov 1;101(6):1720-1728. doi: 10.5740/jaoacint.18-0120. Epub 2018 Jun 12.

DOI:10.5740/jaoacint.18-0120
PMID:29895348
Abstract

As the popularity of extracts continues to rise, a desire to fully understand the individual polymer components of the leaf mesophyll, their relation to one another, and the effects they have on the human body are increasing. Polysaccharides present in the leaf mesophyll have been identified as the components responsible for the biological activities of and they have been widely studied in the past decades. However, the commonly used methods do not provide the desired platform to conduct large comparative studies of polysaccharide compositions, as most of them require a complete or near-complete fractionation of the polymers. The objective for this study was to assess whether carbohydrate microarrays could be used for the high-throughput analysis of cell wall polysaccharides in aloe leaf mesophyll. The method we chose is known as comprehensive microarray polymer profiling (CoMPP) and combines the high-throughput capacity of microarray technology with the specificity of molecular probes. Preliminary findings showed that CoMPP can successfully be used for high-throughput screening of aloe leaf mesophyll tissue. Seventeen species of Aloe and closely related genera were analyzed, and a clear difference in the polysaccharide compositions of the mesophyll tissues was seen. These preliminary data suggest that the polysaccharides vary between species and that true species of Aloe may differ from segregate genera.

摘要

随着提取物的受欢迎程度持续上升,人们越来越渴望全面了解叶肉细胞中各个聚合物成分、它们之间的相互关系以及它们对人体的影响。叶肉细胞中存在的多糖已被确定为具有生物活性的成分,并且在过去几十年中得到了广泛研究。然而,常用方法无法提供进行多糖成分大规模比较研究的理想平台,因为大多数方法都需要对聚合物进行完全或近乎完全的分级分离。本研究的目的是评估碳水化合物微阵列是否可用于芦荟叶肉细胞壁多糖的高通量分析。我们选择的方法称为综合微阵列聚合物分析(CoMPP),它将微阵列技术的高通量能力与分子探针的特异性相结合。初步研究结果表明,CoMPP可成功用于芦荟叶肉组织的高通量筛选。对17种芦荟及近缘属进行了分析,发现叶肉组织的多糖组成存在明显差异。这些初步数据表明,不同物种的多糖存在差异,真正的芦荟物种可能与分离属不同。

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