Lisacek Frédérique
Proteome Informatics Group, SIB Swiss Institute of Bioinformatics; Computer Science Department, University of Geneva; Section of Biology, University of Geneva;
J Vis Exp. 2022 Jan 20(179). doi: 10.3791/63356.
The Glyco@Expasy initiative was launched as a collection of interdependent databases and tools spanning several aspects of knowledge in glycobiology. In particular, it aims at highlighting interactions between glycoproteins (such as cell surface receptors) and carbohydrate-binding proteins mediated by glycans. Here, major resources of the collection are introduced through two illustrative examples centered on the N-glycome of the human Prostate Specific Antigen (PSA) and the O-glycome of human serum proteins. Through different database queries and with the help of visualization tools, this article shows how to explore and compare content in a continuum to gather and correlate otherwise scattered pieces of information. Collected data are destined to feed more elaborate scenarios of glycan function. Glycoinformatics introduced here is, therefore, proposed as a means to either strengthen, shape, or refute assumptions on the specificity of a protein glycome in a given context.
Glyco@Expasy计划作为一个相互依存的数据库和工具集合而启动，涵盖了糖生物学知识的多个方面。特别是，它旨在突出聚糖介导的糖蛋白（如细胞表面受体）与碳水化合物结合蛋白之间的相互作用。在这里，通过两个以人前列腺特异性抗原（PSA）的N-糖组和人血清蛋白的O-糖组为中心的示例，介绍了该集合的主要资源。通过不同的数据库查询并借助可视化工具，本文展示了如何在连续统一体中探索和比较内容，以收集和关联原本分散的信息片段。收集到的数据旨在为更详尽的聚糖功能场景提供支持。因此，这里介绍的糖生物信息学被提议作为一种手段，用于在给定背景下加强、塑造或反驳关于蛋白质糖组特异性的假设。
