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Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Is high throughput glycomics possible?

Carlito B Lebrilla1

  • 1Department of Chemistry, University of California, Davis.

Mass Spectrometry (Tokyo, Japan)
|December 19, 2013
PubMed
Summary
This summary is machine-generated.

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Advancements in analyzing complex carbohydrates, or glycans, enable high-throughput glycomics. This study uses nanoflow liquid chromatography and mass spectrometry to identify glycans and their functions, aiding disease biomarker discovery.

Area of Science:

  • Carbohydrate Chemistry
  • Glycobiology
  • Biomarker Discovery

Background:

  • Glycosylation analysis is complex due to structural diversity.
  • High-throughput analysis is the next frontier in glycomics.
  • Oligosaccharide structure elucidation remains challenging.

Purpose of the Study:

  • To enable high-throughput glycomics through structural identification.
  • To determine the biological functions of milk oligosaccharides.
  • To discover glycan-based biomarkers for diseases.

Main Methods:

  • Utilizing nanoflow liquid chromatography retention times.
  • Employing accurate mass spectrometry.
  • Leveraging tandem mass spectrometry (MS/MS) for structural determination.
Keywords:
disease markersglycansglycomicsnanoLC

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Related Experiment Videos

Last Updated: Feb 8, 2026

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Spatial Molecular Imaging of the Glycome Using Mass Spectrometry

Published on: November 28, 2025

558
Glycan Node Analysis: A Bottom-up Approach to Glycomics
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Glycan Node Analysis: A Bottom-up Approach to Glycomics

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A Quantitative Glycomics and Proteomics Combined Purification Strategy
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Main Results:

  • A method combining LC-MS and MS/MS provides high certainty in glycan structure identification.
  • The method facilitates the determination of biological functions for milk oligosaccharides.
  • Potential glycan biomarkers for diseases can be discovered.

Conclusions:

  • High-throughput glycomics is achievable by creating structural databases.
  • Accurate identification of glycans is crucial for understanding their biological roles.
  • This analytical approach supports biomarker discovery and functional glycomics.