Evidence map›Paper›PMID 40196649›Full record

ArticlebioRxiv : the preprint server for biology2025

Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter.

Kathryn Kothlow, Haley M Schramm, Kayla A Markuson, Jacob H Russell, Emmajay Sutherland, Tim S Veth, Ruby Zhang, Anna G Duboff, Vishnu R Tejus, Leah E McDermott and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

12 authors.

Kathryn KothlowDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0009-0007-3252-0616
Haley M SchrammDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0000-0002-1588-7949
Kayla A MarkusonDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0009-0006-4285-8840
Jacob H RussellDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0009-0006-8054-7082
Emmajay SutherlandDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0000-0001-5150-4346
Tim S VethDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0000-0002-2561-5437
Ruby ZhangDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0009-0001-4410-945X
Anna G DuboffDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0009-0002-7316-3831
Vishnu R TejusDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0000-0001-9871-3129
Leah E McDermottDepartment of Chemistry, University of Washington, Seattle, WA, 98195.
Laura S DrägerDepartment of Chemistry, University of Washington, Seattle, WA, 98195.
Nicholas M RileyDepartment of Chemistry, University of Washington, Seattle, WA, 98195.ORCID 0000-0002-1536-2966

Funding

Molecular Biophysics Training ProgramT32GM153507 · NIGMS · UNIVERSITY OF WASHINGTON · PI Charles L Asbury, Justin M Kollman · 2024 to 2026
$1.7M
Capturing the Holistic Glycocode through Systems GlycobiologyR00GM147304 · NIGMS · UNIVERSITY OF WASHINGTON · PI Nicholas M Riley · 2024 to 2026
$747k
NIGMS NIH HHS R00 GM147304NIGMS NIH HHS T32 GM153507
6 · The paper itself

Abstract

Glycopeptide tandem mass spectra typically contain numerous glycan-specific fragments that can inform several features of glycan modifications, including glycan class, composition, and structure. While these fragment ions are often straightforward to observe by eye, few tools exist to systemically explore these common glycopeptide spectral features or explore their relationships to each other. Instead, most studies rely on manual inspection to understand glycan-informative ion content in their data, or they are restricted to evaluating the presence of these ions only in the small fraction of spectra that are identified by glycopeptide search algorithms. Here we introduce GlyCounter as a freely available, open-source tool to rapidly extract oxonium, Y-type, and custom ion information from raw data files. We highlight GlyCounter's utility by evaluating glycan-specific fragments in a diverse selection of publicly available datasets to demonstrate how others in the field can make immediate use of this software. In several cases, we show how conclusions drawn in these publications are evident simply through GlyCounter's extracted ion information without requiring database searches or experiment-specific programs. Although one of our goals is to decouple spectral evaluation from glycopeptide identification, we also show that evaluating oxonium ion content with GlyCounter can supplement a database search as valuable spectral evidence to validate conclusions. In all, we present GlyCounter as a user-friendly platform that can be easily incorporated into most glycoproteomic workflows to refine sample preparation, data acquisition, and post-acquisition identification methods through straightforward evaluation of the glycan content of glycoproteomic data. Software and instructions are available at https://github.com/riley-research/GlyCounter.

Indexed as

data evaluationglycopeptidesGlycoproteomicsinformaticstandem mass spectrometry

Identifiers

PMID40196649
PMCPMC11974806

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.