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Updated: Feb 23, 2026

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
Published on: November 28, 2025
Spatial Profiling of Glycosaminoglycans (GAGomics) From Laser Microdissected Mouse Brain
1Department of Biochemistry & Cell Biology, Center for Biomedical Mass Spectrometry, Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts, USA.
We developed a new method combining laser microdissection with liquid chromatography and mass spectrometry to analyze glycosaminoglycans (GAGs) in specific brain tissue regions. This spatial GAGomics approach enables detailed structural analysis for biomarker discovery.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Neuroscience
Background:
- Glycosaminoglycans (GAGs), including heparan sulfate (HS) and chondroitin sulfate (CS), are crucial for cellular functions but challenging to analyze due to their heterogeneity.
- Current structural analysis of HS and CS is limited to bulk tissues, hindering spatially resolved insights.
Purpose of the Study:
- To develop an integrated workflow for the identification and quantification of HS and CS disaccharides from small, spatially resolved tissue sections.
- To enable detailed structural analysis of GAGs in specific regions of the mouse brain.
Main Methods:
- Integrated workflow combining laser microdissection (LMD), hydrophilic interaction liquid chromatography (HILIC), and cyclic ion mobility mass spectrometry (cIM-MS).
- Sequential enzymatic digestion of HS and CS chains from LMD-collected tissue sections.
- Quantitative analysis using linear calibration curves.
Main Results:
- Successfully identified and quantified common and rare HS and CS disaccharides, including saturated uronic acid residues and lyase-resistant tetrasaccharides.
- HILIC separated disaccharides by composition and hydrophilicity; cIM-MS resolved positional isomers.
- Quantitative data on disaccharide abundances from small-scale tissue sections were obtained.
Conclusions:
- The LMD-HILIC-cIM-MS workflow is effective for spatial GAGomics, providing detailed analysis of HS and CS.
- This method holds potential for biomarker discovery and advancing therapeutic applications by enabling site-specific GAG analysis.
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