GCI‐Based Affinity Screening of Synthetic Oligomannosides toward Concanavalin A

Herein, we report the first application of grating-coupled interferometry (GCI) to quantify the binding affinity of synthetically defined mannose-based neo-glycoproteins to Concanavalin A (ConA), a model lectin for carbohydrate recognition. Mono-, di-, and tri-saccharides were conjugated to carrier proteins to create multivalent ligands in a structurally defined yet heterogeneous format. Unlike free sugars, which can interact with lectins in multiple orientations, conjugation constrains sugar presentation and provides a more realistic proxy of how glycans are encountered in glycoconjugates. This approach enabled a systematic comparison of sugar epitopes, confirming that Man(α1,2)Man motif shows stronger binding than Man(α1,6), and that the trisaccharide displays the highest affinity. Notably, the multivalent display of these relatively simple sugar motifs resulted in affinities comparable to or higher than those of natural glycoproteins, highlighting the contribution of valency and presentation rather than glycan complexity. Dissociation constants measured by GCI are consistent with literature values obtained by surface plasmon resonance (SPR) and other methods, confirming the reliability of this platform. This work establishes GCI as a reliable tool for affinity profiling of glycoconjugates and highlights the value of a simple and reproducible screening strategy for evaluating structure-affinity relationships of glycans in a presentation format closer to their intended applications.

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Publication Details

Journal
Chemistry - A European Journal
Published
2025-09-20
DOI
https://doi.org/10.1002/chem.202502137
Citations
1
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.81
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article

GCI‐Based Affinity Screening of Synthetic Oligomannosides toward Concanavalin A

Massimo Serra, Enrica Calleri, Francesca Rinaldi, Marco Terreni et al.
1 citations
Chemistry - A European Journal
Glycosylation and Glycoproteins Research
0.81
article

GCI‐Based Affinity Screening of Synthetic Oligomannosides toward Concanavalin A

Massimo Serra, Enrica Calleri, Francesca Rinaldi, Marco Terreni, Teodora Bavaro, Caterina Temporini, Sara Tengattini, Yongmin Zhang, Davide Rubes, Shaofeng Wang
article en
1 citations

Abstract

Herein, we report the first application of grating-coupled interferometry (GCI) to quantify the binding affinity of synthetically defined mannose-based neo-glycoproteins to Concanavalin A (ConA), a model lectin for carbohydrate recognition. Mono-, di-, and tri-saccharides were conjugated to carrier proteins to create multivalent ligands in a structurally defined yet heterogeneous format. Unlike free sugars, which can interact with lectins in multiple orientations, conjugation constrains sugar presentation and provides a more realistic proxy of how glycans are encountered in glycoconjugates. This approach enabled a systematic comparison of sugar epitopes, confirming that Man(α1,2)Man motif shows stronger binding than Man(α1,6), and that the trisaccharide displays the highest affinity. Notably, the multivalent display of these relatively simple sugar motifs resulted in affinities comparable to or higher than those of natural glycoproteins, highlighting the contribution of valency and presentation rather than glycan complexity. Dissociation constants measured by GCI are consistent with literature values obtained by surface plasmon resonance (SPR) and other methods, confirming the reliability of this platform. This work establishes GCI as a reliable tool for affinity profiling of glycoconjugates and highlights the value of a simple and reproducible screening strategy for evaluating structure-affinity relationships of glycans in a presentation format closer to their intended applications.

Chemistry - A European JournalVol. 31(59)
Centre National de la Recherche Scientifique (FR), University of Pavia (IT), Sorbonne Université (FR), Institut Parisien de Chimie Moléculaire (FR)
Openalex Percentile: Top 23%
Glycosylation and Glycoproteins Research
0.81
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