ArticleNature communications2019
Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
140 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent Advances in Software Tools for More Generic and Precise Intact Glycopeptide Analysis.Molecular & cellular proteomics : MCP · 2021Pooled it
- GlycoViz: a glycoproteomics tool for validating and visualizing glycopeptide identifications.Bioinformatics (Oxford, England) · 2026Article
- Micro- and Macro-Heterogeneity of N-Glycoproteome Remodeling in Endoplasmic Reticulum Stress.Molecular & cellular proteomics : MCP · 2026Article
- Cellular Consequences, Citrullination Substrates, and Antigenicity of Targeting PAD4 to Cell Surfaces.ACS central science · 2026Article
- GlycoDiveR: A Modular R Framework to Analyze and Visualize Highly Dimensional Glycoproteomics Data.ACS measurement science au · 2026Article
- Beyond Sequence: Posttranslational Remodeling of Antigens in Autoimmunity.Immunological reviews · 2026Review
- Evaluating the Performance of Photon- and Electron-Based Fragmentation Methods in Omnitrap-LCMS Analysis ofAnalytical chemistry · 2026Article
- Membrane Protein Glycosylation Revisited: Functional Dynamics and Emerging Clinical Insights.International journal of molecular sciences · 2026Review
- Boronic acid affinity media conjugating with PEG enable precise pH-responsive HPLC separation of glycoproteins depending on differences of sugar chains.Scientific reports · 2026Article
- UnderstandingJournal of the American Society for Mass Spectrometry · 2026Article
- GlycoDiveR: a modular R framework to analyze and visualize highly dimensional glycoproteomics data.bioRxiv : the preprint server for biology · 2026Article
- A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration.Nature communications · 2026Article
- Cellular consequences, citrullination substrates, and antigenicity resulting from wild-type and targeted PAD4 on cell surfaces.bioRxiv : the preprint server for biology · 2026Article
- Article
- Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter.bioRxiv : the preprint server for biology · 2025Article
- Accelerating the stride toward functional glycoproteomics.Trends in biochemical sciences · 2025Article
- Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.Nature communications · 2025Article
- Improvements in Glycoproteomics through Architecture Changes to the Orbitrap Tribrid MS Platform.Analytical chemistry · 2025Article
- Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco).Nature structural & molecular biology · 2025Article
- Engineered Proteins and Chemical Tools to Probe the Cell Surface Proteome.Chemical reviews · 2025Review
80 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Protein glycosylation is a highly important, yet poorly understood protein post-translational modification. Thousands of possible glycan structures and compositions create potential for tremendous site heterogeneity. A lack of suitable analytical methods for large-scale analyses of intact glycopeptides has limited our abilities both to address the degree of heterogeneity across the glycoproteome and to understand how this contributes biologically to complex systems. Here we show that N-glycoproteome site-specific microheterogeneity can be captured via large-scale glycopeptide profiling methods enabled by activated ion electron transfer dissociation (AI-ETD), ultimately characterizing 1,545 N-glycosites (>5,600 unique N-glycopeptides) from mouse brain tissue. Our data reveal that N-glycosylation profiles can differ between subcellular regions and structural domains and that N-glycosite heterogeneity manifests in several different forms, including dramatic differences in glycosites on the same protein. Moreover, we use this large-scale glycoproteomic dataset to develop several visualizations that will prove useful for analyzing intact glycopeptides in future studies.
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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.