ArticleNature communications2024
Expanding N-glycopeptide identifications by modeling fragmentation, elution, and glycome connectivity.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- Article
- A comprehensive landscape of human organ N-glycoproteome.Nature communications · 2026Article
- Expanding Glycopeptide Identification with Match-Between-Glycans in FragPipe.bioRxiv : the preprint server for biology · 2026Article
- A Universal Spectrum Annotator for Complex Peptidoforms in Mass Spectrometry-Based Proteomics.Analytical chemistry · 2025Article
- Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter.bioRxiv : the preprint server for biology · 2025Article
- Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.Nature communications · 2025Article
- O-GlcNAc informatics: advances and trends.Analytical and bioanalytical chemistry · 2025Review
- Software Design and Analytical Challenges for Confident Glycopeptide Identification With Data-Independent Acquisition.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Accurate glycopeptide identification in mass spectrometry-based glycoproteomics is a challenging problem at scale. Recent innovation has been made in increasing the scope and accuracy of glycopeptide identifications, with more precise uncertainty estimates for each part of the structure. We present a dynamically adapting relative retention time model for detecting and correcting ambiguous glycan assignments that are difficult to detect from fragmentation alone, a layered approach to glycopeptide fragmentation modeling that improves N-glycopeptide identification in samples without compromising identification quality, and a site-specific method to increase the depth of the glycoproteome confidently identifiable even further. We demonstrate our techniques on a set of previously published datasets, showing the performance gains at each stage of optimization. These techniques are provided in the open-source glycomics and glycoproteomics platform GlycReSoft available at https://github.com/mobiusklein/glycresoft .
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.