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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Updated: Oct 8, 2025

Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals
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General Strategies for Glycan Microarray Data Processing and Analysis.

J Sebastian Temme1, Jeffrey C Gildersleeve2

  • 1Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA.

Methods in Molecular Biology (Clifton, N.J.)
|January 1, 2022
PubMed
Summary
This summary is machine-generated.

Glycan microarrays rapidly profile carbohydrate and glycan-binding protein (GBP) interactions. This guide details image acquisition and data processing for microarray analysis, applicable to various formats.

Keywords:
CarbohydratesData AnalysisGlycan MicroarrayGlycan-Binding ProteinGlycobiologyHigh-throughput screeningLectins

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Glycan microarrays are essential tools for high-throughput profiling of carbohydrate-protein interactions.
  • These arrays facilitate the study of glycan-binding proteins (GBPs) and their roles in biological processes.
  • Current methods often rely on fluorescence detection, necessitating robust image analysis techniques.

Purpose of the Study:

  • To describe methods for acquiring and processing microarray images for glycan-binding analysis.
  • To provide a detailed workflow for generating GAL files, imaging slides, and aligning grids.
  • To outline strategies for detecting problematic spots and evaluating data quality in microarray experiments.

Main Methods:

  • Image acquisition protocols for microarray slides.
  • Generation of Grid Annotation Files (GAL files) for automated analysis.
  • Grid alignment, spot detection, and quality control metrics for microarray data.
  • Specific focus on neoglycoprotein microarray processing with broader applicability.

Main Results:

  • Established a comprehensive workflow for microarray image processing.
  • Demonstrated methods for identifying and mitigating common issues in microarray data.
  • Provided a framework for reliable data quality assessment in glycan-binding assays.

Conclusions:

  • Effective image acquisition and data processing are critical for accurate glycan microarray analysis.
  • The described methods enhance the reliability and reproducibility of results from glycan-binding protein studies.
  • Lessons learned from neoglycoprotein microarrays offer valuable insights for diverse microarray applications.