Evidence map›Paper›PMID 40304900›Full record

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

Optimized Biotinylated Peptide Detection Method for Characterizing the Cell Surface Proteome.

Tamás Langó, Katalin Kuffa, Gábor E Tusnády

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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 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

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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
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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

3 authors.

Tamás LangóProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, Hungarian Research Network, Budapest, Hungary.
Katalin KuffaProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, Hungarian Research Network, Budapest, Hungary.
Gábor E TusnádyProtein Bioinformatics Research Group, Institute of Molecular Life Sciences, Research Centre for Natural Sciences, Hungarian Research Network, Budapest, Hungary. tusnady.gabor@ttk.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell surface proteins (CSPs) play a pivotal role in cellular processes and are crucial for differentiating various cell types. Despite the significance of the cell surface-localized proteome, it is often characterized using low-throughput techniques that provide limited information from the surface-exposed protein segments of individual cells. If such information is available, it is often scattered across numerous publications, making it time-consuming to gather. To address these challenges, we present a high-throughput method that utilizes biotinylation of accessible primary amino groups within the extracellular regions of CSPs to simultaneously generate several hundred CSP-specific peptides in a single experiment. The steps of the method have been meticulously refined to capture an increasing number of cell type-specific biotinylated peptides localized in cell surface accessible protein regions.The protocol developed is readily applicable to the analysis of both soluble and adherent cell surface proteins as described in detailed in this paper. Additionally, the method can be used for side-selective protein biotinylation on biological barrier-forming epithelial cells, allowing the qualitative and quantitative characterization of proteins in both their apical and basolateral membranes. The identified amino-modified surface peptides derived from CSPs have potential as targets for various molecular biology research applications, including antibody staining, inhibitor development and monitoring of host-pathogen interactions. Furthermore, label-free quantification of CSPs via mass spectrometry (based on identified peptide list) provides valuable insights into their relative abundance in different cell surface or plasma membrane regions.

Indexed as

Membrane ProteinsPeptidesProteomeProteomicsBiotinylationHumansMembrane ProteinsPeptidesProteomeBiotinylated peptidesCell surface accessible protein regionMembrane proteinsNanoHPLC peptide separationPeptide sequencingSurfaceomeTandem mass spectrometry

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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.