Mass Spectrometry Imaging Data for Modified N-Glycans in Tissue

Julia E. Dreifus published a dataset on figshare in April 2026, detailing a novel method for visualizing post-glycosylation modifications (PGMs) in tissue N-glycans. The dataset, 889.2 KB in size, supports the described approach using matrix-assisted laser desorption ionization-based mass spectrometry imaging. The method enables in situ investigation of PGM distributions to aid in identifying novel disease biomarkers.

Use Cases

• Visualizing spatial distribution of modified N-glycans in tissue based on mass spectrometry imaging data.
• Identifying specific post-glycosylation modifications (PGMs) present in glycan structures.
• Investigating correlations between glycan modification profiles and disease progression for biomarker discovery.
• Developing analytical pipelines for in situ glycome characterization using enzyme-targeting approaches.

Strengths

• Dataset is associated with a novel, peer-reviewed methodology described in the summary.
• File size is 889.2 KB, indicating a focused and likely manageable dataset.
• License is CC-BY-NC-4.0, providing clear terms for non-commercial reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data likely generated from applying PGM-targeting enzymes to matrix-assisted laser desorption ionization-based mass spectrometry imaging of tissue samples.

Freshness

Last updated 2026-04-28 09:05:01; freshness should be verified.