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Elucidating glycosaminoglycan-protein-protein interactions using carbohydrate microarray and computational approaches
Journal article   Open access   Peer reviewed

Elucidating glycosaminoglycan-protein-protein interactions using carbohydrate microarray and computational approaches

Claude J Rogers, Peter M Clark, Sarah E Tully, Ravinder Abrol, K Christopher Garcia, William A Goddard, 3rd and Linda C Hsieh-Wilson
Proceedings of the National Academy of Sciences - PNAS, v 108(24), pp 9747-9752
14 Jun 2011
PMID: 21628576
url
http://www.pnas.org/content/108/24/9747.full.pdfView
Published, Version of Record (VoR) Open

Abstract

Amino Acid Sequence Animals Antigens, Protozoan - chemistry Antigens, Protozoan - genetics Antigens, Protozoan - metabolism Binding Sites - genetics Carbohydrate Sequence Carbohydrates - analysis Chondroitin Sulfates - chemistry Chondroitin Sulfates - metabolism Computer Simulation Fibroblast Growth Factor 2 - chemistry Fibroblast Growth Factor 2 - genetics Fibroblast Growth Factor 2 - metabolism Glycosaminoglycans - chemistry Glycosaminoglycans - metabolism Microarray Analysis - methods Models, Molecular Molecular Sequence Data Oligosaccharides - chemistry Oligosaccharides - metabolism PC12 Cells Protein Binding Protein Structure, Tertiary Proteins - chemistry Proteins - genetics Proteins - metabolism Rats Receptor, Fibroblast Growth Factor, Type 1 - chemistry Receptor, Fibroblast Growth Factor, Type 1 - genetics Receptor, Fibroblast Growth Factor, Type 1 - metabolism Sequence Homology, Amino Acid Tumor Necrosis Factor-alpha - chemistry Tumor Necrosis Factor-alpha - genetics Tumor Necrosis Factor-alpha - metabolism
Glycosaminoglycan polysaccharides play critical roles in many cellular processes, ranging from viral invasion and angiogenesis to spinal cord injury. Their diverse biological activities are derived from an ability to regulate a remarkable number of proteins. However, few methods exist for the rapid identification of glycosaminoglycan-protein interactions and for studying the potential of glycosaminoglycans to assemble multimeric protein complexes. Here, we report a multidisciplinary approach that combines new carbohydrate microarray and computational modeling methodologies to elucidate glycosaminoglycan-protein interactions. The approach was validated through the study of known protein partners for heparan and chondroitin sulfate, including fibroblast growth factor 2 (FGF2) and its receptor FGFR1, the malarial protein VAR2CSA, and tumor necrosis factor-α (TNF-α). We also applied the approach to identify previously undescribed interactions between a specific sulfated epitope on chondroitin sulfate, CS-E, and the neurotrophins, a critical family of growth factors involved in the development, maintenance, and survival of the vertebrate nervous system. Our studies show for the first time that CS is capable of assembling multimeric signaling complexes and modulating neurotrophin signaling pathways. In addition, we identify a contiguous CS-E-binding site by computational modeling that suggests a potential mechanism to explain how CS may promote neurotrophin-tyrosine receptor kinase (Trk) complex formation and neurotrophin signaling. Together, our combined microarray and computational modeling methodologies provide a general, facile means to identify new glycosaminoglycan-protein-protein interactions, as well as a molecular-level understanding of those complexes.

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Web of Science research areas
Biochemistry & Molecular Biology
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