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用于高通量检测碳水化合物-蛋白质相互作用及特异性鉴定的寡糖微阵列。

Oligosaccharide microarrays for high-throughput detection and specificity assignments of carbohydrate-protein interactions.

作者信息

Fukui Shigeyuki, Feizi Ten, Galustian Christine, Lawson Alexander M, Chai Wengang

机构信息

Glycosciences Laboratory, Imperial College Faculty of Medicine, Northwick Park Hospital, Watford Road, Harrow, Middlesex HA1 3UJ, UK.

出版信息

Nat Biotechnol. 2002 Oct;20(10):1011-7. doi: 10.1038/nbt735. Epub 2002 Sep 3.

Abstract

We describe microarrays of oligosaccharides as neoglycolipids and their robust display on nitrocellulose. The arrays are obtained from glycoproteins, glycolipids, proteoglycans, polysaccharides, whole organs, or from chemically synthesized oligosaccharides. We show that carbohydrate-recognizing proteins single out their ligands not only in arrays of homogeneous oligosaccharides but also in arrays of heterogeneous oligosaccharides. Initial applications have revealed new findings, including: (i) among O-glycans in brain, a relative abundance of the Lewis(x) sequence based on N-acetyllactosamine recognized by anti-L5, and a paucity of the Lewis(x) sequence based on poly-N-acetyllactosamine recognized by anti-SSEA-1; (ii) insights into chondroitin sulfate oligosaccharides recognized by an antiserum and an antibody (CS-56) to chondroitin sulfates; and (iii) binding of the cytokine interferon-gamma (IFN-gamma) and the chemokine RANTES to sulfated sequences such as HNK-1, sulfo-Lewis(x), and sulfo-Lewis(a), in addition to glycosaminoglycans. The approach opens the way for discovering new carbohydrate-recognizing proteins in the proteome and for mapping the repertoire of carbohydrate recognition structures in the glycome.

摘要

我们将寡糖微阵列描述为新糖脂及其在硝酸纤维素上的稳固展示。这些阵列可从糖蛋白、糖脂、蛋白聚糖、多糖、整个器官或化学合成的寡糖中获得。我们表明,碳水化合物识别蛋白不仅能在同质寡糖阵列中识别其配体,也能在异质寡糖阵列中识别。初步应用揭示了一些新发现,包括:(i) 在脑的O-聚糖中,基于N-乙酰乳糖胺的Lewis(x)序列相对丰富,可被抗L5识别,而基于聚-N-乙酰乳糖胺的Lewis(x)序列稀少,可被抗SSEA-1识别;(ii) 对软骨素硫酸寡糖的深入了解,其可被抗血清和抗软骨素硫酸抗体(CS-56)识别;(iii) 除了糖胺聚糖外,细胞因子干扰素-γ(IFN-γ)和趋化因子RANTES与硫酸化序列如HNK-1、磺基-Lewis(x)和磺基-Lewis(a)的结合。该方法为在蛋白质组中发现新的碳水化合物识别蛋白以及绘制糖组中碳水化合物识别结构的全部内容开辟了道路。

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