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Glycosaminoglycan interaction networks and databases
Institution:1. Univ. Lyon, Université Lyon 1, ICBMS, UMR 5246, 69622 Villeurbanne, France;2. University Grenoble Alpes, CNRS, CERMAV, 38000 Grenoble, France;1. Program of Glycobiology, Institute of Medical Biochemistry Leopoldo de Meis, and University Hospital Clementino Fraga Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-913, Brazil;2. Glycosciences Laboratory, Imperial College, Department of Medicine, Burlington Danes Building, Du Cane Road, London W12 0NN, UK;1. Jagiellonian University, Jagiellonian Centre for Experimental Therapeutics (JCET), Bobrzynskiego 14, 30-348, Krakow, Poland;2. Universität zu Lübeck, Institut für Physiologie, Ratzeburger Allee 160, Gebäude 61, D-23562, Lübeck, Germany;3. Jagiellonian University Medical College, Chair and Department of Toxicology, Medyczna 9, 30-688, Krakow, Poland;4. Jagiellonian University Medical College, Chair of Pharmacology, Grzegorzecka 16, 31-531, Krakow, Poland;1. Karl-Franzens-University Graz, Institute of Pharmaceutical Sciences, Schubertstrasse 1, 8010, Graz, Austria;2. Antagonis Biotherapeutics GmbH, Strasserhofweg 77a, 8045, Graz, Austria
Abstract: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.
Keywords:Glycosaminoglycans  Interactions  Networks  Structure  Databases
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