Glycoinformatics

Review
In: Essentials of Glycobiology [Internet]. 4th edition. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press; 2022. Chapter 52.

Excerpt

Glycans are branched, biosynthetic metabolic products that are commonly encoded by multiple genes. Unique genes may be involved in the biosynthesis of specific glycan classes (glycoprotein, glycolipid, glycosaminoglycans etc.), and at the same time, many glycogenes participate in the biosynthesis of more than one glycan class. These intricacies relating to gene expression, enzyme specificity, endoplasmic reticulum (ER)–Golgi compartment–specific localization of enzymes, the branched nature of glycan structures, and species-specific variation in monosaccharide composition makes the analysis of glycosylation processes complicated. To aid this effort, a variety of analytical methods have been developed to identify and quantify the structure of glycans and their conjugates in biological samples. Glycoinformatics tools and software aim to use computers to integrate these experimental data, using our knowledge of glycan biosynthetic pathways as a backbone. Glycoinformatics databases ideally curate experimental data allowing glycan structures to be rigorously defined, archived, organized, searched, and annotated. When linked to other relational databases, glycoscience data may then be integrated with related genomic, transcriptomic, proteomic, lipidomic, and metabolomic information. This chapter describes the current status of glycoinformatics databases and software development, with focus on efforts to bridge the gap between glycan structure and function.

Publication types

  • Review