Breaking the Limits in Analyzing Carbohydrate Recognition by NMR Spectroscopy: Resolving Branch‐Selective Interaction of a Tetra‐Antennary N‐Glycan with Lectins
The biological recognition of complex‐type N‐glycans is part of many key physiological and pathological events. Despite their importance, the structural characterization of these events remains unsolved. The inherent flexibility of N‐glycans hampers crystallization and the chemical equivalence of in...
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Published in | Angewandte Chemie International Edition Vol. 56; no. 47; pp. 14987 - 14991 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
20.11.2017
John Wiley and Sons Inc |
Edition | International ed. in English |
Subjects | |
Online Access | Get full text |
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Summary: | The biological recognition of complex‐type N‐glycans is part of many key physiological and pathological events. Despite their importance, the structural characterization of these events remains unsolved. The inherent flexibility of N‐glycans hampers crystallization and the chemical equivalence of individual branches precludes their NMR characterization. By using a chemoenzymatically synthesized tetra‐antennary N‐glycan conjugated to a lanthanide binding tag, the NMR signals under paramagnetic conditions discriminated all four N‐acetyl lactosamine antennae with unprecedented resolution. The NMR data revealed the conformation of the N‐glycan and permitted for the first time the direct identification of individual branches involved in the recognition by two N‐acetyllactosamine‐binding lectins, Datura stramonium seed lectin (DSL) and Ricinus Communis agglutinin (RCA120).
Finally resolved: For the first time, the direct identification of all four branches of a complex tetra‐antennary N‐glycan by paramagnetic NMR spectroscopy is possible. The unprecedented resolution allowed an in‐depth characterization of the conformations and molecular recognition patterns of this complex oligosaccharide. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.201709130 |