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Published June 14, 2011 | Supplemental Material + Published
Journal Article Open

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

Abstract

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.

Additional Information

© 2011 National Academy of Sciences. Edited by Chi-Huey Wong, Academia Sinica, Taipei, Taiwan, and approved May 4, 2011 (received for review February 25, 2011). Published online before print May 31, 2011. We thank Dr. Jose Luis Riechmann, Dr. Igor Antoshechkin, and the Caltech Millard and Muriel Jacobs Genetics and Genomics Laboratory for assistance and instrumentation for the microarray studies. We also thank Dr. Nagarajan Vaidehi, Adam Griffith, and other members of the Goddard group for their assistance. This work was supported by National Institutes of Health Grants R01 GM093627 (to L.H.W.), Training Grant 5T32 GM07616 (to C.J.R.), Training Grant 5T32 GM07737 (to P.M.C.), R01 NS071112 and 1R01 NS073115 (to W.A.G.), and by a National Science Foundation Predoctoral Fellowship (to S.E.T.). Author contributions: C.J.R., P.M.C., R.A., W.A.G., and L.C.H.-W. designed research; C.J.R., P.M.C., and S.E.T. performed research; C.J.R., P.M.C., S.E.T., and K.C.G. contributed new reagents/analytic tools; C.J.R., P.M.C., R.A., W.A.G., and L.C.H.-W. analyzed data; and C.J.R., P.M.C., and L.C.H.-W. wrote the paper.

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Published - Rogers2011p14279P_Natl_Acad_Sci_Usa.pdf

Supplemental Material - Appendix.pdf

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