ArticleNature communications2026
A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- GlycoDiveR: A Modular R Framework to Analyze and Visualize Highly Dimensional Glycoproteomics Data.ACS measurement science au · 2026Article
- Single-Cell Glycomics of the Pancreatic Tumor Microenvironment: Technologies, Glyco-Immune Checkpoints, and Tumor-Immune Communication.Advanced biology · 2026Review
- Sialylation profile and Siglec-E expression across tissues in the B16OVA melanoma mouse model.Glycobiology · 2026Article
- Membrane Protein Glycosylation Revisited: Functional Dynamics and Emerging Clinical Insights.International journal of molecular sciences · 2026Review
- GlycoDiveR: a modular R framework to analyze and visualize highly dimensional glycoproteomics data.bioRxiv : the preprint server for biology · 2026Article
- GlycoTraitR: an R package for characterizing structural heterogeneity in N-linked glycoproteomics data.Bioinformatics advances · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The mouse is a key model in biomedical research, yet its tissue-specific glycoproteome remains incompletely characterized due to glycan complexity and microheterogeneity. Here, we present a comprehensive N-glycoproteomic atlas across 24 mouse tissues, comprising 3045 N-glycans with distinct structural features attached at 8681 glycosites on 74,277 glycopeptides and 5026 glycoproteins. Among these glycans, 2687 (88.2%) meet the high-confidence threshold through an integrative confidence-estimation framework. Overall glycan structural patterns show enormous tissue-specific diversities, acting as superior molecular signatures of tissue identity and system origins. Notably, even commonly expressed glycoproteins undergo tissue-dependent glycan remodeling, suggesting that glycosylation may fine-tune protein functions to meet specialized biological demands. These patterns are further shaped by subcellular localization, which constrains glycan variabilities across compartments. Co-occurrence network analyses also expose substructural biases and non-random microheterogeneities among glycans attached at the same glycosites. The dataset serves as a valuable database resource for advancing the structural and functional understanding of glycoproteins.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.