Programmable Chemoenzymatic Assembly of a Bisected and Core‐Fucosylated <i>N</i> ‐Glycan Library Reveals Glycan‐Binding Protein Specificity and Branch Preference

Abstract Bisected and core‐fucosylated N ‐glycans represent a distinct class of complex biomolecules that are implicated in diverse biological and pathological processes. The structural complexity and synthetic challenges of these glycans hinder comprehensive understanding of their biological functions due to limited access to well‐defined samples. Despite advances in the complex N ‐glycan synthesis, the efficient preparation of bisected and core‐fucosylated asymmetric N ‐glycans with various branches and terminal epitopes remains an unmet challenge. In this study, we report a streamlined divergent chemoenzymatic approach for the programmable synthesis of an asymmetric bisected and core‐fucosylated N ‐glycan library, featuring bi‐, tri‐, and tetra‐antennary structures with variable‐length oligo‐LacNAc extensions and various terminal epitopes. This methodology relies on protecting‐group‐controlled branch extension, glycosyltransferase intrinsic branch selectivity and glyco‐epitope blocking effects, enabling the precise installment of each branch with unique epitopes. These structurally diverse N ‐glycans are printed as a microarray to comprehensively investigate structure–function relationships, revealing that glycan‐binding protein specificities are mediated by distinct branching patterns, oligo‐LacNAc chain length, and terminal epitope presentation. This work provides valuable insights into glycan‐protein interactions and highlights the potential of our approach for advancing glycoscience and biomedical applications.

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Publication Details

Journal
Angewandte Chemie
Published
2025-09-04
DOI
https://doi.org/10.1002/ange.202514754
Citations
1
Primary Topic
Carbohydrate Chemistry and Synthesis
Type
article
Field-Weighted Citation Impact
0.94

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article

Programmable Chemoenzymatic Assembly of a Bisected and Core‐Fucosylated N ‐Glycan Library Reveals Glycan‐Binding Protein Specificity and Branch Preference

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1 citations
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Carbohydrate Chemistry and Synthesis
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article

Programmable Chemoenzymatic Assembly of a Bisected and Core‐Fucosylated N ‐Glycan Library Reveals Glycan‐Binding Protein Specificity and Branch Preference

Wei Zhang, Zhuojia Xu, Yi Huang, Tiehai Li, Xi Cheng, Jialin Liu, Wenjing Ma
article en
1 citations

Abstract

Abstract Bisected and core‐fucosylated N ‐glycans represent a distinct class of complex biomolecules that are implicated in diverse biological and pathological processes. The structural complexity and synthetic challenges of these glycans hinder comprehensive understanding of their biological functions due to limited access to well‐defined samples. Despite advances in the complex N ‐glycan synthesis, the efficient preparation of bisected and core‐fucosylated asymmetric N ‐glycans with various branches and terminal epitopes remains an unmet challenge. In this study, we report a streamlined divergent chemoenzymatic approach for the programmable synthesis of an asymmetric bisected and core‐fucosylated N ‐glycan library, featuring bi‐, tri‐, and tetra‐antennary structures with variable‐length oligo‐LacNAc extensions and various terminal epitopes. This methodology relies on protecting‐group‐controlled branch extension, glycosyltransferase intrinsic branch selectivity and glyco‐epitope blocking effects, enabling the precise installment of each branch with unique epitopes. These structurally diverse N ‐glycans are printed as a microarray to comprehensively investigate structure–function relationships, revealing that glycan‐binding protein specificities are mediated by distinct branching patterns, oligo‐LacNAc chain length, and terminal epitope presentation. This work provides valuable insights into glycan‐protein interactions and highlights the potential of our approach for advancing glycoscience and biomedical applications.

Angewandte ChemieVol. 137(44)
Nanjing University of Chinese Medicine (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Beijing Academy of Artificial Intelligence (CN), Shanghai Institute of Materia Medica (CN), Artificial Intelligence in Medicine (Canada) (CA)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Carbohydrate Chemistry and Synthesis
0.94
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