ArticleScientific reports2022
Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Clustering of host N-glycans by the microneme MIC1/4/6 complex licenses Toxoplasma rhoptry discharge.The EMBO journal · 2026Article
- Glycan reachability analysis: A bottleneck-aware framework for inferring tissue-specific glycan biosynthetic potential from transcriptomics.PLoS computational biology · 2026Article
- A comprehensive landscape of human organ N-glycoproteome.Nature communications · 2026Article
- Application of Post-Glycosylation Modifying Enzymes for Mass Spectrometry Imaging of ModifiedJournal of the American Society for Mass Spectrometry · 2026Article
- A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities.Nature communications · 2026Article
- Development and application of GlycanDIA workflow for glycomic analysis.Nature communications · 2025Article
- A glycan atlas of the mammalian intestine through ontogeny and inflammation.bioRxiv : the preprint server for biology · 2025Article
- Inter-tissue glycan heterogeneity: site-specific glycoform analysis of mouse tissue N-glycoproteomes using MS1-based glycopeptide detection method assisted by lectin microarray.Analytical and bioanalytical chemistry · 2025Article
- Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice.Nature communications · 2024Article
- Non-targeted isomer-sensitive N-glycome analysis reveals new layers of organ-specific diversity in mice.Research square · 2024Article
- Review
- Host glycosylation of immunoglobulins impairs the immune response to acute Lyme disease.EBioMedicine · 2024Article
- N-glycoproteomics of brain synapses and synaptic vesicles.Cell reports · 2023Article
- Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022.Mass spectrometry reviewsReview
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents "mouse tissue glycome atlas" representing the profiles of major N-glycans of mouse glycoproteins that may define their essential functions in the surface glycocalyx of mouse organs/tissues and serum-derived extracellular vesicles (exosomes). Cell surface glycocalyx composed of a variety of N-glycans attached covalently to the membrane proteins, notably characteristic "N-glycosylation patterns" of the glycocalyx, plays a critical role for the regulation of cell differentiation, cell adhesion, homeostatic immune response, and biodistribution of secreted exosomes. Given that the integrity of cell surface glycocalyx correlates significantly with maintenance of the cellular morphology and homeostatic immune functions, dynamic alterations of N-glycosylation patterns in the normal glycocalyx caused by cellular abnormalities may serve as highly sensitive and promising biomarkers. Although it is believed that inter-organs variations in N-glycosylation patterns exist, information of the glycan diversity in mouse organs/tissues remains to be elusive. Here we communicate for the first-time N-glycosylation patterns of 16 mouse organs/tissues, serum, and serum-derived exosomes of Slc:ddY mice using an established solid-phase glycoblotting platform for the rapid, easy, and high throughput MALDI-TOFMS-based quantitative glycomics. The present results elicited occurrence of the organ/tissue-characteristic N-glycosylation patterns that can be discriminated to each other. Basic machine learning analysis using this N-glycome dataset enabled classification between 16 mouse organs/tissues with the highest F1 score (69.7-100%) when neural network algorithm was used. A preliminary examination demonstrated that machine learning analysis of mouse lung N-glycome dataset by random forest algorithm allows for the discrimination of lungs among the different mouse strains such as the outbred mouse Slc:ddY, inbred mouse DBA/2Crslc, and systemic lupus erythematosus model mouse MRL-lpr/lpr with the highest F1 score (74.5-83.8%). Our results strongly implicate importance of "human organ/tissue glycome atlas" for understanding the crucial and diversified roles of glycocalyx determined by the organ/tissue-characteristic N-glycosylation patterns and the discovery research for N-glycome-based disease-specific biomarkers and therapeutic targets.
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