Evidence map›Paper›PMID 36831567›Full record

ArticleCancers2023

In Situ Imaging of O-Linked β-N-Acetylglucosamine Using On-Tissue Hydrolysis and MALDI Mass Spectrometry.

Edwin E Escobar, Erin H Seeley, Jesús E Serrano-Negrón, David J Vocadlo, Jennifer S Brodbelt

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Immunohistochemical Study onActa histochemica et cytochemica · 2025
    Review
  3. 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

5 authors at 3 institutions in 2 countries.

Edwin E EscobarDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-0086-6264
Erin H SeeleyDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-8000-5754
Jesús E Serrano-NegrónDepartment of Molecular Biology and Biochemistry, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0001-9666-3797
David J VocadloDepartment of Molecular Biology and Biochemistry, Burnaby, BC V5A 1S6, Canada.
Jennifer S BrodbeltDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.
The University of Texas at Austin · USBurnaby Hospital · CASimon Fraser University · CA

Funding

Ultraviolet Photodissociation Mass Spectrometry for Characterization of Biological MoleculesR35GM139658 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2021 to 2025
$2.9M
NIGMS NIH HHS R35 GM139658
6 · The paper itself

Abstract

Post-translational O-glycosylation of proteins via the addition of N-acetylglucosamine (O-GlcNAc) is a regulator of many aspects of cellular physiology. Processes driven by perturbed dynamics of O-GlcNAcylation modification have been implicated in cancer development. Variability in O-GlcNAcylation is emerging as a metabolic biomarker of many cancers. Here, we evaluate the use of MALDI-mass spectrometry imaging (MSI) to visualize the location of O-GlcNAcylated proteins in tissue sections by mapping GlcNAc that has been released by the enzymatic hydrolysis of glycoproteins using an O-GlcNAc hydrolase. We use this strategy to monitor O-GlcNAc within hepatic VX2 tumor tissue. We show that increased O-GlcNAc is found within both viable tumor and tumor margin regions, implicating GlcNAc in tumor progression.

Indexed as

biomarkersin situ digestionMALDImass spectrometry imagingO-GlcNAcO-glycosylationultraviolet photodissociation

Identifiers

PMID36831567
PMCPMC9954453
OpenAlexW4320920315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.