Univ. Lyon, Université Lyon 1, ICBMS, UMR 5246, 69622 Villeurbanne, France.
University Grenoble Alpes, CNRS, CERMAV, 38000 Grenoble, France.
Curr Opin Struct Biol. 2022 Jun;74:102355. doi: 10.1016/j.sbi.2022.102355. Epub 2022 Mar 17.
Glycosaminoglycans are complex polysaccharides exhibiting a large structural and conformational diversity. These key biological players organize the extracellular matrix, contribute to cell-matrix interactions, and regulate cell signaling. Natural and synthetic libraries of glycosaminoglycans have been spotted on microarrays to find glycosaminoglycan partners and determine the size and the chemical groups promoting protein binding. Advances in glycosaminoglycan sequencing allow the characterization of glycosaminoglycan sequences interacting with proteins, and glycosaminoglycan-mediated pull-down proteomics can identify glycosaminoglycan-binding proteins at a proteome scale in various biological samples. The analysis of the glycosaminoglycan interaction networks generated using these data gives insights into the molecular and cellular mechanisms underlying glycosaminoglycan functions. These interactomes can also be used to design inhibitors targeting specific GAG interactions for therapeutic purpose.
糖胺聚糖是具有大量结构和构象多样性的复杂多糖。这些关键的生物分子组织细胞外基质，有助于细胞-基质相互作用，并调节细胞信号转导。天然和合成的糖胺聚糖文库已被固定在微阵列上，以寻找糖胺聚糖伴侣，并确定促进蛋白质结合的大小和化学基团。糖胺聚糖测序的进展允许对与蛋白质相互作用的糖胺聚糖序列进行表征，糖胺聚糖介导的下拉蛋白质组学可以在各种生物样品中以蛋白质组的规模鉴定糖胺聚糖结合蛋白。使用这些数据生成的糖胺聚糖相互作用网络的分析提供了对糖胺聚糖功能背后的分子和细胞机制的深入了解。这些相互作用组也可用于设计针对特定 GAG 相互作用的抑制剂，以达到治疗目的。
