Evidence map›Paper›PMID 33020657›Full record

ArticleNature methods2020

Fast and comprehensive N- and O-glycoproteomics analysis with MSFragger-Glyco.

Daniel A Polasky, Fengchao Yu, Guo Ci Teo, Alexey I Nesvizhskii

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

167 citing papers in PubMed.

  1. Glycopeptide Mass Spectrometry Data Analysis Using Protein Prospector.Methods in molecular biology (Clifton, N.J.) · 2027
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  10. Deep Learning Prediction of O-Glycopeptide Tandem Mass Spectra Enhances O-Glycoproteomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  12. Optimized cumate toolkit for tunable protein expression duringApplied and environmental microbiology · 2026
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  19. UnderstandingJournal of the American Society for Mass Spectrometry · 2026
    Article
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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Daniel A PolaskyDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-0515-1735
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-7695-3698
Guo Ci TeoDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-3212-4051
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA. nesvi@med.umich.edu.ORCID http://orcid.org/0000-0002-2806-7819

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
NCI NIH HHS U24 CA210967NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

Recent advances in methods for enrichment and mass spectrometric analysis of intact glycopeptides have produced large-scale glycoproteomics datasets, but interpreting these data remains challenging. We present MSFragger-Glyco, a glycoproteomics mode of the MSFragger search engine, for fast and sensitive identification of N- and O-linked glycopeptides and open glycan searches. Reanalysis of recent N-glycoproteomics data resulted in annotation of 80% more glycopeptide spectrum matches (glycoPSMs) than previously reported. In published O-glycoproteomics data, our method more than doubled the number of glycoPSMs annotated when searching the same glycans as the original search, and yielded 4- to 6-fold increases when expanding searches to include additional glycan compositions and other modifications. Expanded searches also revealed many sulfated and complex glycans that remained hidden to the original search. With greatly improved spectral annotation, coupled with the speed of index-based scoring, MSFragger-Glyco makes it possible to comprehensively interrogate glycoproteomics data and illuminate the many roles of glycosylation.

Indexed as

GlycopeptidesSearch EngineTandem Mass SpectrometryDatabases, ProteinGlycosylationProteomicsGlycopeptides

Identifiers

PMID33020657
PMCPMC7606558

What OpenQuestion holds

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Registered trials

None linked

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.