Evidence map›Paper›PMID 41931467›Full record

ReviewJournal of the American Society for Mass Spectrometry2026

Mass Spectrometry-Based Proteomics Methods for Systematic Identification and Quantification of Protein O-Glycosylation in Complex Biological Samples.

Longping Fu, Xing Xu, Ronghu Wu

Abstract readReview
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Longping FuSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0006-4275-3264
Xing XuSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Ronghu WuSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0001-9493-9462

Funding

Characterizing extracellular glycoproteins and unraveling their functionsR35GM156318 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Ronghu Wu · 2025 to 2026
$1.0M
NIGMS NIH HHS R35 GM156318
6 · The paper itself

Abstract

Protein O-glycosylation is one of the most common and important modifications in human cells. It regulates protein folding, trafficking, stability, and interactions with other molecules, and its dysregulation is directly related to numerous diseases such as cancer and neurodegenerative diseases. Modern mass spectrometry (MS)-based proteomics provides a unique opportunity to systematically characterize O-glycosylated proteins. However, it is still extremely challenging due to the low abundance of many glycoproteins, the heterogeneity of O-glycans, and the complexity of biological samples. In this review, we discuss recent advances in MS-based proteomics methods designed to overcome the challenges for global and site-specific characterization of protein O-glycosylation. We begin with an overview of the biosynthetic pathways underlying the major classes of protein O-glycosylation. Then, we discuss different methods to enrich O-glycopeptides with diverse structures of O-glycans. Furthermore, various MS dissociation techniques for intact glycopeptide profiling are covered. In addition, different quantitative approaches are included for studying protein O-glycosylation in biological and biomedical research. We also discuss computational tools for intact O-glycopeptide identification, highlighting the challenges in search space requirement, false discovery rate control, and glycosylation site localization. The advancements of MS-based glycoproteomics are critical for gaining insights into the critical roles of protein O-glycosylation in biology and human disease.

Indexed as

GlycoproteinsMass SpectrometryProteomicsAnimalsGlycopeptidesGlycosylationHumansPolysaccharidesGlycopeptidesGlycoproteinsPolysaccharidesBottom-up ProteomicsEnrichment MethodsFragmentationIntact O-GlycopeptidesMass SpectrometryO-Glycoproteomics

Identifiers

PMID41931467
PMCPMC13154189

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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.