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Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis
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Published on: September 29, 2023

Surface characterization of carbohydrate microarrays.

David J Scurr1, Tim Horlacher, Matthias A Oberli

  • 1University of Nottingham, School of Pharmacy, Boots Science Building, NG7 2RD, United Kingdom.

Langmuir : the ACS Journal of Surfaces and Colloids
|October 20, 2010
PubMed
Summary

This study uses time-of-flight secondary ion mass spectrometry (ToF-SIMS) to analyze carbohydrate microarrays, revealing how sugar concentration affects spot distribution and identifying key ions for galectin binding. This improves understanding of glycan interactions and microarray quality.

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Area of Science:

  • Glycoscience
  • Analytical Chemistry
  • Biophysics

Background:

  • Carbohydrate microarrays are crucial for understanding glycan biological functions.
  • Optimizing microarray quality requires understanding the physicochemical properties of individual spots.

Purpose of the Study:

  • To analyze glycan array spot properties using time-of-flight secondary ion mass spectrometry (ToF-SIMS).
  • To improve carbohydrate microarray quality by understanding spot formation and composition.
  • To identify specific glycan ions correlating with galectin protein binding.

Main Methods:

  • Preparation of carbohydrate microarrays via piezo printing of thiol-terminated sugars onto maleimide functionalized glass slides.
  • Hyperspectral ToF-SIMS imaging of glycan arrays.
  • Multivariate data analysis using Multivariate Curve Resolution (MCR) and Partial Least Squares (PLS).

Main Results:

  • Saccharide distribution within spots is uniform at concentrations ≤0.4 mM but forms a 'doughnut shape' at higher concentrations.
  • Phosphate buffered saline (PBS) salts are heterogeneously distributed in larger spots, concentrating sugars at the rim.
  • Saccharide spot diameter increases with concentration due to reduced surface tension.
  • PLS analysis identified specific sugar ions that correlate with galectin protein binding.

Conclusions:

  • A model of spot formation from evaporating sessile drops explains observed distribution patterns.
  • Understanding physicochemical properties of microarray spots is key to improving their quality and reliability.
  • ToF-SIMS combined with MCR and PLS is a powerful tool for analyzing complex biological microarrays and identifying functional glycan biomarkers.