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The Mouse N-Glycoproteome Atlas: Tissue-Specific Glycan Signatures Decoded

The Mouse N-Glycoproteome Atlas: Tissue-Specific Glycan Signatures Decoded

May 18, 2026

Glycosylation is one of the most complex post-translational modifications of proteins. Minute structural differences in a single N-glycan chain can directly determine a protein's fate within the body, its half-life, and even its functional output. However, due to the high degree of structural microheterogeneity and non-linear complexity inherent to glycan chains, the scientific community has long lacked a high-resolution, site-specific glycoproteome atlas that spans multiple tissues across the entire organism.

In January 2026, the research team led by Sun from Northwest University published their latest findings in Nature Communications in an article titled "A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities." Utilizing their independently developed software, StrucGP, the study systematically mapped the N-glycoproteome across 24 distinct mouse tissues—comprising 16 major organs, 7 brain regions, and serum—thereby providing an unprecedented, systematic perspective on how glycosylation regulates tissue function.

Study Scope and Data Quality

The research team collected 24 types of tissue samples from five male and five female C57BL/6N mice. They enriched glycopeptides using a combination of hydrophilic interaction chromatography (HILIC) and mixed-mode anion exchange chromatography, followed by mass spectrometry analysis utilizing a stepped high-energy collision dissociation (HCD) strategy.

Study design schematic of 24 mouse tissues and workflow of N-glycoproteome sample preparation through mass spectrometry and data analysis.

Fig. 1 Study design and analytical workflow of the mouse multi-tissue N-glycoproteome atlas. (Wu, et al. 2026)

The final dataset comprises:

  • 74,277 unique intact N-glycopeptides
  • 8,681 N-Glycosylation Sites
  • 5,026 N-glycoproteins
  • 3,045 N-glycan structures with clearly defined structural characteristics

Notably, 88.2% of the identified glycan structures met high-confidence criteria (probability ≥ 0.82), as determined by an integrated confidence assessment framework. This dataset covers 63.5% of the mouse N-glycoproteins currently annotated in UniProtKB, while also identifying 2,795 glycoproteins that had not been previously annotated.

Glycan Signatures of Tissue Identity

The study revealed significant differences in the glycan landscapes across various tissues—differences so distinct that their discriminatory power in distinguishing between tissues surpassed even that of proteomic and glycomic data.

  • Nervous System: Seven brain regions clustered tightly together in the analysis, exhibiting glycosylation profiles distinctly different from those of other tissues. Neural tissues displayed the highest structural diversity of glycan chains; a single glycosylation site could harbor anywhere from 257 to 367 distinct glycan structures. However, the overall structural complexity of these glycans was relatively low, predominantly featuring mono-antennary structures.
  • Kidney: This organ yielded the highest number of identified glycosylation sites (2,133) and glycoproteins. However, the glycan-to-glycosite ratio was relatively low (0.42), suggesting that while the kidney possesses a high abundance of glycoproteins, the structural diversity of its associated glycans is comparatively limited.
  • Liver and Serum: Both were enriched in complex-type, Sialylated Glycan Structures. Serum exhibited exceptionally high levels of N-glycolylneuraminic acid (Neu5Gc), whereas Neu5Gc was virtually undetectable in neural tissues, where N-acetylneuraminic acid (Neu5Ac) predominated.
  • Digestive System: The stomach and intestines showed a significant enrichment of highly branched, multi-antennary glycan structures, while the pancreas was characterized primarily by hybrid-type glycan structures.

These tissue-specific glycan patterns correlated strongly with the expression profiles of Glycosyltransferases. For instance, the high expression of the Mgat3 gene in neural tissues corresponded directly to the enrichment of bisecting core structures; similarly, the high expression of Fut9 in the kidney and brain regions explained the significant increase in Fucosylated Glycan Structures.

Glycan Remodeling of Identical Proteins Across Different Tissues

The study further tracked 62 conserved glycoproteins that are ubiquitously expressed across multiple tissue types. The results demonstrated that, despite possessing identical protein backbone sequences, the N-Glycan Structures attached to these proteins underwent significant remodeling depending on the specific tissue type.

Take the Mannose-6-phosphate receptor (M6pr) as an example: at the Asn-84 glycosylation site, the liver predominantly featured highly sialylated, complex-type glycan structures—a profile consistent with the liver's functional requirements for protein longevity (extended half-life) and endosomal recycling. In contrast, in the seminal vesicle and pancreas, Asn-84 was mainly decorated with hybrid-type glycans, but sialylation was largely absent in the seminal vesicle. This site-specific remodeling of glycan chains indicates that glycosylation serves as a crucial mechanism through which cells finely tune protein function in response to local physiological demands. In contrast, the Asn-914 site of the cell-surface hyaluronidase (Cemip2) maintains a highly conserved glycan composition across various tissues, suggesting that the functional integrity of certain glycosylation sites imposes strict requirements on structural stability.

Subcellular Localization Constrains Glycan Diversity

The subcellular localization of a glycoprotein is one of the key factors determining the structure of its associated glycans.

  • Endoplasmic Reticulum (ER): Glycoproteins primarily bear oligomannose-type glycans; these structures are simple and highly conserved, reflecting the characteristics of early-stage glycosylation processing.
  • Extracellular Matrix (ECM) and Cell Membrane: Glycans exhibit a high degree of complexity, being rich in terminal modifications such as sialylation and fucosylation, thereby reflecting the diversity of late-stage processing within the Golgi apparatus.
  • Cross-Tissue Comparison: Glycoproteins localized to the ER display the highest degree of glycan similarity, whereas those localized to the cell membrane and ECM exhibit the greatest glycan heterogeneity—a characteristic that aligns with their respective roles in signal transduction, ion transport, and cell-specific recognition.

This finding reveals a distinct gradient in glycan structure, transitioning from a state of high conservation within the intracellular environment to one of high diversity in the extracellular environment.

Glycan Co-occurrence Networks and Non-Random Microheterogeneity

To investigate the phenomenon of multiple distinct glycan structures coexisting at a single glycosylation site, this study constructed glycan co-occurrence networks. The results revealed that site-specific microheterogeneity is not a random occurrence but rather adheres to distinct modular principles.

  • Dynamic Editing of Terminal Modifications: At a given glycosylation site, pairs of glycans differing only by the presence or absence of one or more terminal monosaccharide residues—such as sialic acid, fucose, or mannose—frequently co-occur. For instance, in serum, biantennary glycans that are disialylated, monosialylated, or asialylated co-occur at the same glycosylation site with a probability exceeding 98%. This pattern suggests that local glycan diversity arises primarily from the dynamic addition and removal of terminal monosaccharides, rather than from entirely distinct biosynthetic pathways.
  • Preferred Pairing of Core Structures and Branches: Core Structure I (the unmodified core) exhibits a strong preference for mannose-rich branches; Core Structure II (the fucosylated core) favors LacNAc-containing and fucosylated branches; whereas bisecting cores (Cores III and IV) are associated with simpler branches lacking sialic acid and fucose caps—a finding consistent with the known inhibitory effect of bisecting structures on branching glycosyltransferases.
  • Inter-branch Coordination: Polysialylated branches frequently co-occur with Lewisx/a structures; furthermore, sialylation on one branch increases the probability of sialylation on the opposing branch, and both Neu5Ac and Neu5Gc tend to engage in homotypic pairing.

Future Applications and Database Value

The multi-tissue N-glycoproteome atlas of the mouse, established by this study, provides a fundamental resource of significant importance for glycobiology research and translational medicine.

  • Biomarker Discovery: Tissue-specific glycan signatures and glycoforms offer a new dimension for the development of highly specific Biomarkers indicative of tissue origin.
  • Disease Modeling: In the future, this atlas of normal tissues can be compared against glycoproteomic data derived from states of aging, tumorigenesis, or neurodegenerative disease to elucidate the patterns of glycosylation remodeling under pathological conditions.
  • Drug Development: Understanding how tissue-specific glycans modulate protein half-life, immunogenicity, and receptor binding will aid in optimizing the design of therapeutic glycoproteins.
  • Algorithm Development: This dataset provides a large-scale validation foundation for benchmarking glycoproteomics search engines, identifying rare glycan modifications, and developing algorithms for O-glycopeptide analysis.

The research team also notes that significant differences exist between mouse and human glycosylation (e.g., mice express Neu5Gc and α-Gal epitopes, whereas humans do not); therefore, cross-species comparative studies are critical for translational applications.

Conclusion

Through a site-specific structural characterization strategy, this study expands the scope of glycobiology from single organs to a multi-tissue systemic level, and—for the first time at a proteome-wide scale—reveals the non-random patterns governing glycan microheterogeneity. With the further advancement of single-cell and spatial glycoproteomics technologies, this atlas will serve as a crucial cornerstone for decoding the biological functions of glycosylation.

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Reference

  1. Wu, Y., et al. (2026). A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities. Nature Communications. DOI: 1038/s41467-025-68186-2.
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