Suppr超能文献

一种用于碳水化合物微阵列的实用方案。

A practical protocol for carbohydrate microarrays.

作者信息

Wang Ruobing, Liu Shaoyi, Shah Dhaval, Wang Denong

机构信息

Carbohydrate Microarray Laboratory, Department of Genetics, Stanford University School of Medicine, CA, USA.

出版信息

Methods Mol Biol. 2005;310:241-52. doi: 10.1007/978-1-59259-948-6_17.

Abstract

We have established a high-throughput biochip platform for constructing carbohydrate microarrays. Using this technology, carbohydrate-containing macromolecules of diverse structures, including polysaccharides, natural glycoconjugates, and mono- and oligosaccharides coupled to carrier molecules, can be stably immobilized on a glass chip without chemical modification. Here, we describe a practical protocol for this technology. We hope that anyone who has access to a standard cDNA microarray facility will be able to explore this technology for his or her own research interest. We also provide an example to illustrate that the carbohydrate microarray is also a discovery tool; this is particularly useful for identifying immunologic sugar moieties, including complex carbohydrates of cancer cells and sugar signatures of previously unrecognized microbial pathogens.

摘要

我们已经建立了一个用于构建碳水化合物微阵列的高通量生物芯片平台。利用这项技术,各种结构的含碳水化合物大分子,包括多糖、天然糖缀合物以及与载体分子偶联的单糖和寡糖,无需化学修饰即可稳定地固定在玻璃芯片上。在此,我们描述了该技术的实用方案。我们希望任何能够使用标准cDNA微阵列设备的人都能够基于自身的研究兴趣探索这项技术。我们还提供了一个例子来说明碳水化合物微阵列也是一种发现工具;这对于识别免疫糖部分特别有用,包括癌细胞的复合碳水化合物和先前未识别的微生物病原体的糖特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd26/7120908/80d6f9cfed78/978-1-59259-948-6_17_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验