Monosaccharide Binding to Synthetic Carbohydrate Receptor Microarrays

单糖与合成碳水化合物受体微阵列的结合

阅读:1

Abstract

A glycan detection platform, comprised of synthetic carbohydrate receptors (SCRs) immobilized onto polymer brushes, was prepared. SCR043, an alkene-containing SCR, was incorporated into grafted-from polymer brushes using hypersurface photolithography, resulting in microarrays of SCR043-functionalized polymer brushes, where brush height (h) and SCR grafting density (Γ) are controlled precisely at each feature in the array. The influence of h and Γ on the binding to five fluorescently labeled monosaccharidesα-glucose (α-Gluc-FL), α-galactose (α-Gal-FL), α-mannose (α-Man-FL), β-glucose (β-Gluc-FL), and β-galactose (β-Gal-FL)in aqueous buffer was investigated using fluorescence microscopy. These experiments provided 9072 data points, each corresponding to an individual binding experiment, which were used to assess the effects of polymer h, Γ, monosaccharide structure, and monosaccharide concentration on binding avidity (K (d)). We demonstrate that SCR-based microarrays bind monosaccharides selectively as a result of cooperative, supramolecular interactions that occur within the multivalent polymer brushes. K (d), Hill coefficients, 50% inhibition concentrations, and inhibition constants (K (i)) were calculated for the different monosaccharide-SCR043 binding pairs and were compared with the binding energies calculated using Density Functional Theory. The SCR-functionalized polymer brush microarrays could detect monosaccharides at micromolar concentrations in aqueous buffers, with K (i) as low as 5 μM for α-Man-FL. The strength of the monosaccharide-SCR interactions is attributed to the cluster-glycoside effects that can occur within the SCR-functionalized polymer brushes. This report represents the first demonstration that SCRs can function as effective glycan recognition elements in microarray formats.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。