ArticleNature methods2019
Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries.
Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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
47 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
- Mass Spectrometry-Based Proteomics Methods for Systematic Identification and Quantification of Protein O-Glycosylation in Complex Biological Samples.Journal of the American Society for Mass Spectrometry · 2026Review
- Interferon-stimulated gene GALNT2 restricts respiratory virus infections.Nature microbiology · 2026Article
- Glycosylation in neuroinflammation: mechanisms, implications, and therapeutic strategies for neurodegenerative diseases.Translational neurodegeneration · 2025Review
- Development and application of GlycanDIA workflow for glycomic analysis.Nature communications · 2025Article
- In-depth plasma N-glycoproteome profiling using narrow-window data-independent acquisition on the Orbitrap Astral mass spectrometer.Nature communications · 2025Article
- Data Independent Acquisition Mass Spectrometry Enhanced Personalized Glycosylation Profiling of Haptoglobin in Hepatocellular Carcinoma.Journal of proteome research · 2024Article
- Prediction of glycopeptide fragment mass spectra by deep learning.Nature communications · 2024Article
- Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.Nature biomedical engineering · 2024Article
- Recent trends in glycoproteomics by characterization of intact glycopeptides.Analytical and bioanalytical chemistry · 2023Review
- Hybrid-DIA: intelligent data acquisition integrates targeted and discovery proteomics to analyze phospho-signaling in single spheroids.Nature communications · 2023Article
- Methods for quantification of glycopeptides by liquid separation and mass spectrometry.Mass spectrometry reviews · 2023Review
- Editorial: New methods, techniques and applications in clinical glycoproteomics.Frontiers in molecular biosciences · 2023Article
- Measuring the multifaceted roles of mucin-domain glycoproteins in cancer.Advances in cancer research · 2023Review
- Pathological implication of protein post-translational modifications in cancer.Molecular aspects of medicine · 2022Review
- Exploring the glycosylation of mucins by use of O-glycodomain reporters recombinantly expressed in glycoengineered HEK293 cells.The Journal of biological chemistry · 2022Article
- Glycosylation in cancer: its application as a biomarker and recent advances of analytical techniques.Glycoconjugate journal · 2022Review
- Review
- Glycomaterials to Investigate the Functional Role of Aberrant Glycosylation in Glioblastoma.Advanced healthcare materials · 2022Review
- Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity.International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report a liquid chromatography coupled to tandem mass spectrometry O-glycoproteomics strategy using data-independent acquisition (DIA) mode for direct analysis of O-glycoproteins. This approach enables characterization of glycopeptides and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries (though it does not allow for direct unambiguous glycosite identification). The method relies on a spectral library of O-glycopeptides; the Glyco-DIA library contains sublibraries obtained from human cell lines and human serum, and it currently covers 2,076 O-glycoproteins (11,452 unique glycopeptide sequences) and the 5 most common core1 O-glycan structures. Applying the Glyco-DIA library to human serum without enrichment for glycopeptides enabled us to identify and quantify 269 distinct glycopeptide sequences bearing up to 5 different core1 O-glycans from 159 glycoproteins in a SingleShot analysis.
Indexed as
Identifiers
31384044What 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.