Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
New England Biolabs, Ipswich, MA, USA.
Methods Mol Biol. 2022;2370:3-23. doi: 10.1007/978-1-0716-1685-7_1.
Glycosylation is important in biology, contributing to both protein conformation and function. Structurally, glycosylation is complex and diverse. This complexity is reflected in the topology, composition, monosaccharide linkages, and isomerism of each oligosaccharide. Glycoanalytics is a discipline that addresses the understanding and characterization of this complexity and its correlation with biology. It includes analytical steps such as sample preparation, instrument measurements, and data analyses. Of these, data analysis has emerged as a critical bottleneck because data collection has increasingly become high-throughput. This has resulted in data-rich workflows that lack rapid and automated data analytics. To address this issue, the field has been developing software for interpretation of quantitative glycomics studies. Here, we describe a protocol using available informatics tools for analysis of data from analysis of released glycans using high-/ultraperformance liquid chromatography (H/UPLC) coupled with mass spectrometry (MS).
糖基化在生物学中很重要,它有助于蛋白质的构象和功能。从结构上看,糖基化是复杂多样的。这种复杂性反映在每种寡糖的拓扑结构、组成、单糖连接和异构体上。糖组学是一门研究理解和描述这种复杂性及其与生物学相关性的学科。它包括分析步骤,如样品制备、仪器测量和数据分析。其中,数据分析已经成为一个关键的瓶颈,因为数据收集越来越具有高通量的特点。这导致了数据丰富的工作流程缺乏快速和自动化的数据分析。为了解决这个问题,该领域一直在开发用于解释定量糖组学研究的软件。在这里,我们描述了一个使用现有信息学工具的方案,用于分析使用高效/超高效液相色谱(H/UPLC)与质谱(MS)联用分析释放聚糖所得到的数据。