Evidence map›Paper›PMID 39985669›Full record

ArticleAnalytical and bioanalytical chemistry2025

GlycoDash: automated, visually assisted curation of glycoproteomics datasets for large sample numbers.

Tamas Pongracz, Steinar Gijze, Agnes L Hipgrave Ederveen, Rico J E Derks, David Falck

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
  2. Review
  3. Article
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  5. Article
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

5 authors.

Tamas PongraczCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-8089-4352
Steinar GijzeCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0009-0005-0982-7658
Agnes L Hipgrave EderveenCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-1689-0442
Rico J E DerksCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-8920-7133
David FalckCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. d.falck@lumc.nl.ORCID http://orcid.org/0000-0003-3908-2376

Funding

European Research Council ERC SynergyEuropean Research Council GlycanSwitchEuropean Research Council Project 101071386Health~Holland LSHM21062Health~Holland ReconVac
6 · The paper itself

Abstract

The challenge of robust and automated glycopeptide quantitation from liquid chromatography-mass spectrometry (LC-MS) data has yet to be adequately addressed by commercial software. Recently, open-source tools like Skyline and LaCyTools have advanced the field of label-free MS

Indexed as

GlycopeptidesGlycoproteinsProteomicsSoftwareAutomationChromatography, LiquidGlycosylationHumansMass SpectrometryTandem Mass SpectrometryGlycopeptidesGlycoproteinsAntibody glycosylationData curationGlycomics softwareGlycoproteomicsHigh-throughput glycomicsLC–MS

Identifiers

PMID39985669
PMCPMC11961463

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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.