Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA.
Faraday Discuss. 2019 Oct 30;219(0):90-111. doi: 10.1039/c9fd00021f.
Protein-carbohydrate interactions play significant roles in a wide variety of biological systems. Glycan microarrays are commonly utilized to interrogate the selectivity, sensitivity, and breadth of these complex protein-carbohydrate interactions. During the past two decades, numerous distinct glycan microarray platforms have been developed, each assembled from a variety of slide-surface chemistries, glycan-attachment chemistries, glycan presentations, linkers, and glycan densities. Comparative analyses of glycan microarray data have shown that while many protein-carbohydrate interactions behave predictably across microarrays, there are instances when various array formats produce different results. For optimal construction and use of this technology, it is important to understand sources of variances across array platforms. In this study, we performed a systematic comparison of microarray data from 8 lectins across a range of concentrations on the CFG and neoglycoprotein array platforms. While there was good general agreement on the binding specificity of the lectins on the two arrays, there were some cases of large discrepancies. Differences in glycan density and linker composition contributed significantly to variability. The results provide insights for interpreting microarray data and designing future glycan microarrays.
蛋白质-碳水化合物相互作用在广泛的生物系统中起着重要作用。糖芯片通常用于研究这些复杂的蛋白质-碳水化合物相互作用的选择性、灵敏度和广度。在过去的二十年中,已经开发出了许多不同的糖芯片平台,每个平台都由各种玻片表面化学、糖基附着化学、糖基呈现方式、连接子和糖基密度组成。对糖芯片数据的比较分析表明,尽管许多蛋白质-碳水化合物相互作用在芯片上表现出可预测的行为,但在某些情况下,各种芯片格式会产生不同的结果。为了优化该技术的构建和使用,了解不同芯片平台之间的差异来源非常重要。在这项研究中,我们对 CFG 和新糖蛋白芯片平台上一系列浓度的 8 种凝集素的芯片数据进行了系统比较。虽然两种芯片上的凝集素的结合特异性具有良好的总体一致性,但也存在一些差异较大的情况。糖密度和连接子组成的差异对变异性有很大影响。研究结果为解释芯片数据和设计未来的糖芯片提供了见解。