Evidence map›Paper›PMID 41373727›Full record

ArticleInternational journal of molecular sciences2025

Optimization of Methods for the Quantitative Analysis of Global Cell Surface Proteome and Cell Surface Polarization.

Katalin Kuffa, Tamás Langó, András Czirók, Júlia Tárnoki-Zách, Szilvia Bősze, Gábor E Tusnády, Zoltán Szabó

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Katalin KuffaDoctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Pázmány P. stny. 1/C, H-1117 Budapest, Hungary.
Tamás LangóProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, HUN-REN, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.ORCID 0009-0008-6948-3721
András CzirókDepartment of Biological Physics, Eötvös Loránd University, Pázmány P. stny. 1/A, H-1117 Budapest, Hungary.
Júlia Tárnoki-ZáchDepartment of Biological Physics, Eötvös Loránd University, Pázmány P. stny. 1/A, H-1117 Budapest, Hungary.
Szilvia BőszeHUN-REN-ELTE Research Group of Peptide Chemistry, Hungarian Research Network, Eötvös Loránd University, Pázmány P. stny. 1/A, H-1117 Budapest, Hungary.
Gábor E TusnádyProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, HUN-REN, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.ORCID 0000-0001-8105-0285
Zoltán SzabóProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, HUN-REN, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.ORCID 0000-0001-8278-8038

Funding

Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund C1793861Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund K142904Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund K146314
6 · The paper itself

Abstract

The cell surface proteome of polarized epithelial cells plays a central role in barrier function, signaling, and vectorial transport, yet the quantitative characterization of their surface proteins remains technically challenging. We developed an optimized chemoproteomic strategy specifically tailored to studying the surface proteins of polarized cells while keeping membrane integrity intact. By applying a disulfide-linked membrane-impermeable biotin reagent, labeling was restricted to extracellular regions of transmembrane proteins (TMPs) and secreted proteins, thereby minimizing contributions from intracellular contaminants. Following biotinylated peptide-level or protein-level enrichment and mass spectrometric analysis, we systematically compared data-dependent (DDA) and data-independent acquisition (DIA) approaches, showing that while DIA increases proteome coverage, DDA more reliably identifies biotinylated peptides in our studies. To ensure robustness, we established replicate-based normalization and contaminant-aware quality control metrics that minimize biases from proteins in cell culture medium and damaged cells. The application of the workflow to Madin-Darby canine kidney (MDCK) II epithelial monolayers enabled the large-scale quantification of apical versus basolateral domains, yielding over 2100 proteins, with 235 showing significant polarized distribution, in agreement with known biology. This method offers high specificity for the extracellular labeling and quantitative resolution of cell surface protein (CSP) polarization, providing a powerful platform for studying epithelial biology and identifying extracellular epitopes relevant to diagnostics and therapeutic targeting.

Indexed as

Cell MembraneCell PolarityMembrane ProteinsProteomeProteomicsAnimalsBiotinylationDogsEpithelial CellsMadin Darby Canine Kidney CellsMass SpectrometryMembrane ProteinsProteomecell surfacepolarizationproteomics

Identifiers

PMID41373727
PMCPMC12692164

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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.