Evidence map›Paper›PMID 40304903›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Aminooxy Biotin-Based Characterization of the Surfaceome of Chondrogenic Cells.

Patrik Kovács, David J Boocock, Clare Coveney, Ali Mobasheri, Csaba Matta

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Patrik KovácsDepartment of Anatomy, Histology and Embryology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
David J BoocockJohn van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, UK.
Clare CoveneyJohn van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, UK.
Ali MobasheriResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Csaba MattaDepartment of Anatomy, Histology and Embryology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. matta.csaba@med.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol outlines a comprehensive approach for characterizing the cell surface subproteome of chondroprogenitor cells, based on aminooxy biotinylation followed by mass spectrometry analysis. The first step involves the selective labeling of cell surface proteins with aminooxy biotin on living chondroprogenitor cells, ensuring the specific tagging of glycoproteins on the outer membrane. Subsequently, glycocapture technique is employed to enrich the glycosylated fraction of the cell surface proteins. Following multiple wash steps to reduce contamination with detergents and nonsurface proteins, shotgun mass spectrometry is applied for the quantitative and qualitative analysis of the enriched subproteome, allowing for the identification and characterization of surface proteins. The integration of these techniques offers a comprehensive and sensitive method for profiling the cell surface proteome during chondrogenesis, enabling a deeper understanding of the molecular composition of chondroprogenitor cells. This protocol holds promise for advancing our knowledge of chondrogenesis and may contribute to the identification of potential therapeutic targets for cartilage-related disorders.

Indexed as

BiotinChondrocytesChondrogenesisMembrane ProteinsProteomeProteomicsAnimalsBiotinylationHumansMass SpectrometryMiceBiotinMembrane ProteinsProteomeAminooxy biotinChondrogenesisChondroprogenitor cellGlycocaptureSurfaceome

Identifiers

PMID40304903

What OpenQuestion holds

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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.