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LM-GlycoRepo Version 1.0: A Novel Repository System for Mouse Tissue Glycome Mapping Data
Chiaki Nagai-Okatani1, Noriaki Fujita1, Patcharaporn Boottanun1,2
1Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8565, Japan.
Journal of Proteome Research
|June 11, 2025
Summary
A new data repository, LM-GlycoRepo, has been developed for lectin microarray (LMA) data. This system ensures FAIR data principles for protein glycosylation research and supports data sharing during peer review.
Area of Science:
- Glycomics
- Biotechnology
- Data Science
Background:
- Lectin microarray (LMA) is a sensitive method for profiling protein glycosylation.
- The increasing use of LMA necessitates a data repository adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable).
Purpose of the Study:
- To introduce LM-GlycoRepo, a novel repository system for lectin-based multimodal (LM) data.
- To establish a system compliant with the MIRAGE (Minimum Information Required for a Glycomics Experiment) guideline.
Main Methods:
- LM-GlycoRepo Version 1.0 is designed for mouse tissue glycome mapping data using laser microdissection (LMD)-assisted LMA.
- The system accepts LMD images, LMA data, and lectin staining images.
- An embargo system is incorporated for data release timing, compatible with manuscript peer review.
Main Results:
- LM-GlycoRepo Version 1.0 is specialized for mouse tissue glycome mapping data.
- Deposited data can be visualized using the LM-GlycomeAtlas web tool after the embargo period.
- The repository is freely accessible via the GlyCosmos portal.
Conclusions:
- LM-GlycoRepo provides a FAIR-compliant repository for LMA and related data.
- The system supports data sharing and visualization for glycomics research.
- Future versions will accommodate diverse biospecimens, including human samples.

