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Updated: May 7, 2026

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Published on: February 5, 2018

Presentation, presentation, presentation! Molecular-level insight into linker effects on glycan array screening data.

Oliver C Grant¹, Hannah M K Smith, Daria Firsova

¹School of Chemistry, National University of Ireland, Galway, University Road, Galway, Ireland.

|September 24, 2013

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Glycan array screening identifies disease biomarkers, but linker effects can cause false negatives. This study models linker structures to explain and mitigate these artifacts for accurate glycan recognition.

Area of Science:

Biochemistry
Molecular Biology
Biophysics

Background:

Cell-surface glycans are crucial disease and cancer biomarkers.
Glycan-targeting reagents offer therapeutic and diagnostic potential.
Specific recognition of target glycans is essential for reagent efficacy.

Purpose of the Study:

To model linker structures used in glycan arrays.
To rationalize false-negative binding results caused by the "linker effect."
To guide the interpretation of glycan array screening data.

Main Methods:

Computational modeling of linker structures and dynamics.
Consideration of physical presence and surface polarity of the array.
Structure-based analysis of linker-glycan interactions.

Keywords:

glycan array screening glycan specificity glycan-binding protein linker effects molecular dynamics

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Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis

Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis

Published on: September 29, 2023

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Last Updated: May 7, 2026

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Chemo-enzymatic Synthesis of N-glycans for Array Development and HIV Antibody Profiling

Published on: February 5, 2018

Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals

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Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis

Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis

Published on: September 29, 2023

Main Results:

Developed models explaining false-negative binding in glycan arrays.
Identified specific linker characteristics contributing to the "linker effect."
Demonstrated that natural amino acids as linkers can cause recognition artifacts.

Conclusions:

Linker choice significantly impacts glycan presentation and recognition on arrays.
Understanding linker effects is critical for accurate glycan-binding protein specificity determination.
This work provides a framework for designing improved glycan arrays and interpreting screening data.