Selective Glycan Presentation in Liquid‐Ordered or ‐Disordered Membrane Phases and its Effect on Lectin Binding

Abstract Glycan‐protein interactions play a key role in various biological processes from fertilization to infections. Many of these interactions take place at the glycocalyx—a heavily glycosylated layer at the cell surface. Despite its significance, studying the glycocalyx remains challenging due to its complex, dynamic, and heterogeneous nature. This study introduces a glycocalyx model allowing for the first time to control spatial organization and heterogeneity of the glycan moieties. Glycan‐mimetics with lipid‐moieties that partition into either liquid‐ordered (Lo, lipid rafts ) or liquid‐disordered (Ld) phases of giant unilamellar vesicles (GUVs), which serve as simplified cell membrane models mimicking lipid rafts, are developed. This phase‐specific allocation allows controlled placement of glycan motifs in distinct membrane environments, creating heteromultivalent systems that replicate the natural glycocalyx's complexity. We show that phase localization of glycan mimetics significantly influences recruitment of protein receptors to the membrane. Glycan‐conjugates in the ordered phase demonstrate enhanced lectin binding, supporting the idea that raft‐like domains facilitate stronger receptor interactions. This study provides a platform for systematically investigating spatial and dynamic presentation of glycans in biological systems and presents the first experimental evidence that glycan accumulation in lipid rafts enhances receptor binding affinity, offering deeper insights into the glycocalyx‘s functional mechanisms.

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Publication Details

Journal
Angewandte Chemie
Published
2024-10-16
DOI
https://doi.org/10.1002/ange.202414847
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Selective Glycan Presentation in Liquid‐Ordered or ‐Disordered Membrane Phases and its Effect on Lectin Binding

Cornelia Monzel, Laura Hartmann, Stephan Schmidt, Luca‐Cesare Blawitzki
Angewandte Chemie
Glycosylation and Glycoproteins Research
article

Selective Glycan Presentation in Liquid‐Ordered or ‐Disordered Membrane Phases and its Effect on Lectin Binding

Cornelia Monzel, Laura Hartmann, Stephan Schmidt, Luca‐Cesare Blawitzki
article en

Abstract

Abstract Glycan‐protein interactions play a key role in various biological processes from fertilization to infections. Many of these interactions take place at the glycocalyx—a heavily glycosylated layer at the cell surface. Despite its significance, studying the glycocalyx remains challenging due to its complex, dynamic, and heterogeneous nature. This study introduces a glycocalyx model allowing for the first time to control spatial organization and heterogeneity of the glycan moieties. Glycan‐mimetics with lipid‐moieties that partition into either liquid‐ordered (Lo, lipid rafts ) or liquid‐disordered (Ld) phases of giant unilamellar vesicles (GUVs), which serve as simplified cell membrane models mimicking lipid rafts, are developed. This phase‐specific allocation allows controlled placement of glycan motifs in distinct membrane environments, creating heteromultivalent systems that replicate the natural glycocalyx's complexity. We show that phase localization of glycan mimetics significantly influences recruitment of protein receptors to the membrane. Glycan‐conjugates in the ordered phase demonstrate enhanced lectin binding, supporting the idea that raft‐like domains facilitate stronger receptor interactions. This study provides a platform for systematically investigating spatial and dynamic presentation of glycans in biological systems and presents the first experimental evidence that glycan accumulation in lipid rafts enhances receptor binding affinity, offering deeper insights into the glycocalyx‘s functional mechanisms.

Angewandte ChemieVol. 137(2)
University of Freiburg (DE), Heinrich Heine University Düsseldorf (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 84%
Glycosylation and Glycoproteins Research
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