Evidence map›Paper›PMID 38877149›Full record

ArticleAnalytical and bioanalytical chemistry2025

Quantitative proteome-wide O-glycoproteomics analysis with FragPipe.

Daniel A Polasky, Lei Lu, Fengchao Yu, Kai Li, Michael R Shortreed, Lloyd M Smith, Alexey I Nesvizhskii

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel A PolaskyDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA. dpolasky@umich.edu.ORCID http://orcid.org/0000-0002-0515-1735
Lei LuDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Kai LiDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Michael R ShortreedDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA. nesvi@med.umich.edu.

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
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
Sequence-specific Hybridization Capture to Reveal the lncRNA Interactome in Prostate CancerR01CA193481 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DAVID F. JARRARD, Lloyd M Smith · 2015 to 2026
$3.4M
NCI NIH HHS R01 CA193481NCI NIH HHS U24 CA271037NCI NIH HHS U24CA271037NIGMS NIH HHS R01 GM094231NIGMS NIH HHS R01GM094231
6 · The paper itself

Abstract

Identification of O-glycopeptides from tandem mass spectrometry data is complicated by the near complete dissociation of O-glycans from the peptide during collisional activation and by the combinatorial explosion of possible glycoforms when glycans are retained intact in electron-based activation. The recent O-Pair search method provides an elegant solution to these problems, using a collisional activation scan to identify the peptide sequence and total glycan mass, and a follow-up electron-based activation scan to localize the glycosite(s) using a graph-based algorithm in a reduced search space. Our previous O-glycoproteomics methods with MSFragger-Glyco allowed for extremely fast and sensitive identification of O-glycopeptides from collisional activation data but had limited support for site localization of glycans and quantification of glycopeptides. Here, we report an improved pipeline for O-glycoproteomics analysis that provides proteome-wide, site-specific, quantitative results by incorporating the O-Pair method as a module within FragPipe. In addition to improved search speed and sensitivity, we add flexible options for oxonium ion-based filtering of glycans and support for a variety of MS acquisition methods and provide a comparison between all software tools currently capable of O-glycosite localization in proteome-wide searches.

Indexed as

GlycopeptidesPolysaccharidesProteomeProteomicsAlgorithmsHumansSoftwareTandem Mass SpectrometryGlycopeptidesPolysaccharidesProteomeGlycoproteomicsLocalizationO-GlycopeptidesSoftware

Identifiers

PMID38877149
PMCPMC11648966

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Registered trials

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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.