The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Probing Low Affinity and Multivalent Interactions with Surface Plasmon Resonance: Ligands for Concanavalin A
Abstract
The affinities of the carbohydrate-binding protein concanavalin A (Con A) for mono- and multivalent ligands were measured by surface plasmon resonance (SPR) detection. Assessing protein−carbohydrate affinities is typically difficult due to weak affinities observed and the complications that arise from the importance of multivalency in these interactions. We describe a convenient method to rapidly evaluate the inhibitory constants for a panel of different ligands, both monovalent and multivalent, for low-affinity receptors, such as the carbohydrate-binding protein Con A. A nonnatural, mannose-substituted glycolipid was synthesized, and self-assembled monolayers of varying carbohydrate density were generated. The synthetic surfaces bind Con A. Competition experiments that employed monovalent ligands in solution yielded K i values similar to equilibrium binding constants obtained in titration microcalorimetry experiments. In addition, this assay could be used to examine various polymeric ligands of defined lengths, generated by ring-opening metathesis polymerization (ROMP). This study demonstrates the utility of this method for rapidly screening ligands that engage in low affinity interactions with their target receptors. Our results emphasize that those molecules that can simultaneously occupy two or more saccharide binding sites within a lectin oligomer are effective inhibitors of protein−carbohydrate interactions.
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Cites
Biological roles of oligosaccharides: all of the theories are correct
Varki, A. (1993) · Glycobiology · doi:10.1093/glycob/3.2.97 · Cited by 5,195
Drickamer, K., & Taylor, M. E. (1993) · Annual Review of Cell Biology · doi:10.1146/annurev.cb.09.110193.001321 · Cited by 775
Kinetic analysis of macromolecular interactions using surface plasmon resonance biosensors
Myszka, D. G. (1997) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(97)80157-7 · Cited by 552
Strength in numbers: non-natural polyvalent carbohydrate derivatives
Kiessling, L. L., & Pohl, N. L. (1996) · Chemistry & Biology · doi:10.1016/s1074-5521(96)90280-x · Cited by 376
Self-citationSauter, N. K., Bednarski, M. D., Wurzburg, B. A., Hanson, J. E., Whitesides, G. M., Skehel, J. J., & Wiley, D. C. (1989) · Biochemistry · doi:10.1021/bi00447a018 · Cited by 354
Sigal, G. B., Mammen, M., Dahmann, G., & Whitesides, G. M. (1996) · Journal of the American Chemical Society · doi:10.1021/ja953729u · Cited by 338
Kuziemko, G. M., Stroh, M., & Stevens, R. C. (1996) · Biochemistry · doi:10.1021/bi952314i · Cited by 335
Carbohydrate recognition systems: functional triads in cell—cell interactions
Crocker, P. R., & Feizi, T. (1996) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(96)80036-4 · Cited by 302
Kanai, M., Mortell, K. H., & Kiessling, L. L. (1997) · Journal of the American Chemical Society · doi:10.1021/ja972089n · Cited by 297
Self-citationNieba, L., Krebber, A., & Plückthun, A. (1996) · Analytical Biochemistry · doi:10.1006/abio.1996.0067 · Cited by 290
The structure of the saccharide-binding site of concanavalin A.
Derewenda, Z., Yariv, J., Helliwell, J. R., Kalb, A. J., Dodson, E. J., Papiz, M. Z., Wan, T., & Campbell, J. (1989) · The EMBO Journal · doi:10.1002/j.1460-2075.1989.tb08341.x · Cited by 288
Parallel Synthesis and Screening of a Solid Phase Carbohydrate Library
Liang, R., Yan, L., Loebach, J., Ge, M., Uozumi, Y., Sekanina, K., Horan, N., Gildersleeve, J., Thompson, C., Smith, A., et al. (1996) · Science · doi:10.1126/science.274.5292.1520 · Cited by 277
Recognition Specificity of Neoglycopolymers Prepared by Ring-Opening Metathesis Polymerization
Mortell, K. H., Weatherman, R. V., & Kiessling, L. L. (1996) · Journal of the American Chemical Society · doi:10.1021/ja953574q · Cited by 261
Self-citationO'Shannessy, D. J., & Winzor, D. J. (1996) · Analytical Biochemistry · doi:10.1006/abio.1996.0167 · Cited by 253
Surface plasmon resonance and its use in biomolecular interaction analysis (BIA)
Szabo, A., Stolz, L., & Granzow, R. (1995) · Current Opinion in Structural Biology · doi:10.1016/0959-440x(95)80064-6 · Cited by 238
Karlsson, R. (1994) · Analytical Biochemistry · doi:10.1006/abio.1994.1390 · Cited by 208
Synthesis of Sulfated Neoglycopolymers: Selective P-Selectin Inhibitors
Manning, D. D., Hu, X. Y., Beck, P. J., & Kiessling, L. L. (1997) · Journal of the American Chemical Society · doi:10.1021/ja964046x · Cited by 177
Self-citationSynthetic ligands point to cell surface strategies
Gordon, E. J., Sanders, W. J., & Kiessling, L. L. (1998) · Nature · doi:10.1038/32073 · Cited by 153
Self-citationAlon, R., Feizi, T., Yuen, C.-T., Fuhlbrigge, R. C., & Springer, T. A. (1995) · The Journal of Immunology · doi:10.4049/jimmunol.154.10.5356 · Cited by 127
Garg, U. C., & Hassid, A. (1991) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)52393-0 · Cited by 113
Analysis of cell-adhesion molecule interactions using surface plasmon resonance
van der Merwe, P. A., & Barclay, A. N. (1996) · Current Opinion in Immunology · doi:10.1016/s0952-7915(96)80065-3 · Cited by 108
Neoglycopolymer inhibitors of the selectins
Manning, D. D., Strong, L. E., Hu, X. Y., Beck, P. J., & Kiessling, L. L. (1997) · Tetrahedron · doi:10.1016/s0040-4020(97)00707-2 · Cited by 97
Self-citationAnalysis of Receptor-Ligand Interactions
Attie, A., & Raines, R. T. (1995) · Journal of Chemical Education · doi:10.1021/ed072p119 · Cited by 96
Kalinin, N. L., Ward, L. D., & Winzor, D. J. (1995) · Analytical Biochemistry · doi:10.1006/abio.1995.1345 · Cited by 66
Mandal, D. K., & Brewer, C. F. (1992) · Biochemistry · doi:10.1021/bi00165a009 · Cited by 63
Ward, L. D., Howlett, G. J., Hammacher, A., Weinstock, J., Yasukawa, K., Simpson, R. J., & Winzor, D. J. (1995) · Biochemistry · doi:10.1021/bi00009a021 · Cited by 58
The Rel family of eukaryotic transcription factors
Chytil, M., & Verdine, G. L. (1996) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(96)80100-x · Cited by 51
Deng, S., MacKenzie, C. R., Hirama, T., Brousseau, R., Lowary, T. L., Young, N. M., Bundle, D. R., & Narang, S. A. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.11.4992 · Cited by 46
How pathogens expolit interactions mediated by SH3 domains
Bliska, J. B. (1996) · Chemistry & Biology · doi:10.1016/s1074-5521(96)90076-9 · Cited by 31
Karlsson, R., Jendeberg, L., Nilsson, B., Nilsson, J., & Nygren, P. (1995) · Journal of Immunological Methods · doi:10.1016/0022-1759(95)00030-e · Cited by 29
Cited by
A unified view of propagating and localized surface plasmon resonance biosensors
Haes, A. J., & Van Duyne, R. P. (2004) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-004-2708-9 · Cited by 666
Glycopolymer probes of signal transduction
Kiessling, L. L., & Grim, J. C. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60097a · Cited by 335
Self-citationHigh-sensitivity Analytical Approaches for the Structural Characterization of Glycoproteins
Alley, W. R., Mann, B. F., & Novotny, M. V. (2013) · Chemical Reviews · doi:10.1021/cr3003714 · Cited by 310
Recognition of microbial glycans by human intelectin-1
Wesener, D. A., Wangkanont, K., McBride, R., Song, X., Kraft, M. B., Hodges, H. L., Zarling, L. C., Splain, R. A., Smith, D. F., Cummings, R. D., et al. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3053 · Cited by 163
Self-citationStrausak, D., Howie, M. K., Firth, S. D., Schlicksupp, A., Pipkorn, R., Multhaup, G., & Mercer, J. F. B. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m212437200 · Cited by 71
Metadata
- Authors
- Mann, D. A., Kanai, M., Maly, D. J., & Kiessling, L. L.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-10-01
- Volume
- 120
- Issue
- 41
- Pages
- 10575-10582
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2038996493
- Cited by
- 277
- References
- 30
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
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