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LM-GlycomeAtlas Ver. 2.0: An Integrated Visualization for Lectin Microarray-based Mouse Tissue Glycome Mapping Data
Chiaki Nagai-Okatani1, Xia Zou2, Noriaki Fujita1
1Molecular and Cellular Glycoproteomics Research Group, Cellular 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
|March 4, 2021
Summary
The updated LM-GlycomeAtlas tool enhances tissue glycome mapping by integrating high-resolution images with glycomic profiles. This facilitates detailed glyco-pathological analysis for glycoscience and proteomics research.
Area of Science:
- Glycoscience
- Proteomics
- Histopathology
Background:
- Laser microdissection-assisted lectin microarray (LMLM) provides glycan information from tissue sections.
- Effective visualization of LMLM data is crucial for tissue glycome mapping.
- LM-GlycomeAtlas Version 1.0 offered initial glycomic profiles for nine normal mouse tissues.
Purpose of the Study:
- To introduce an updated LM-GlycomeAtlas with enhanced spatial information and visualization capabilities.
- To facilitate glyco-pathological analysis by integrating high-resolution histological images with glycomic profiles.
- To expand the open resource for glycoscience and proteomics communities.
Main Methods:
- Development of LM-GlycomeAtlas Version 2.0 with interfaces for multiple datasets and high-resolution histological images.
- Inclusion of lectin staining images and comparative visualization of normal and diseased mouse tissues.
- Visualization of 451 glycomic profiling datasets and 42 histological images from 14 mouse tissues.
Main Results:
- The updated LM-GlycomeAtlas successfully visualizes extensive glycomic profiling data alongside detailed histological images.
- New interfaces enable direct comparison of glycomic profiles between different tissue types and conditions (normal vs. diseased).
- The platform now supports high-resolution visualization of glycan distribution in various tissues.
Conclusions:
- The enhanced LM-GlycomeAtlas is a valuable open resource for tissue glycome mapping and glyco-pathological analysis.
- Integration capabilities with glycoproteomic and protein glycosylation tools will further enhance its utility.
- This updated tool significantly advances research in glycoscience and proteomics by providing comprehensive glycomic spatial information.
