| Literature DB >> 34611862 |
Ian Walsh1, Sophie Zhao1, Katherine Wongtrakul-Kish1, Matthew Choo1, Shi Jie Tay1, Christopher H Taron2, Pauline M Rudd1, Terry Nguyen-Khuong3.
Abstract
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).Entities:
Keywords: Bioinformatics; Glycoanalytics; Glycosylation; Mass spectrometry
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Year: 2022 PMID： 34611862 DOI： 10.1007/978-1-0716-1685-7_1
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745