Evidence map›Paper›PMID 39422127›Full record

ArticleJournal of proteome research2024

PhoXplex: Combining Phospho-enrichable Cross-Linking with Isobaric Labeling for Quantitative Proteome-Wide Mapping of Protein Interfaces.

Runa D Hoenger Ramazanova, Theodoros I Roumeliotis, James C Wright, Jyoti S Choudhary

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. 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. Article
  3. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
  4. Review
  5. Protein Secondary Structure Patterns in Short-Range Cross-Link Atlas.Angewandte Chemie (International ed. in English) · 2025
    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

4 authors.

Runa D Hoenger RamazanovaFunctional Proteomics team, Chester Beatty Laboratories, The Institute of Cancer Research, London SW3 6JB, United Kingdom.
Theodoros I RoumeliotisFunctional Proteomics team, Chester Beatty Laboratories, The Institute of Cancer Research, London SW3 6JB, United Kingdom.ORCID 0000-0002-3354-5643
James C WrightFunctional Proteomics team, Chester Beatty Laboratories, The Institute of Cancer Research, London SW3 6JB, United Kingdom.
Jyoti S ChoudharyFunctional Proteomics team, Chester Beatty Laboratories, The Institute of Cancer Research, London SW3 6JB, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Integrating cross-linking mass spectrometry (XL-MS) into structural biology workflows provides valuable information about the spatial arrangement of amino acid stretches, which can guide elucidation of protein assembly architecture. Additionally, the combination of XL-MS with peptide quantitation techniques is a powerful approach to delineate protein interface dynamics across diverse conditions. While XL-MS is increasingly effective with isolated proteins or small complexes, its application to whole-cell samples poses technical challenges related to analysis depth and throughput. The use of enrichable cross-linkers has greatly improved the detectability of protein interfaces in a proteome-wide scale, facilitating global protein-protein interaction mapping. Therefore, bringing together enrichable cross-linking and multiplexed peptide quantification is an appealing approach to enable comparative characterization of structural attributes of proteins and protein interactions. Here, we combined phospho-enrichable cross-linking with TMT labeling to develop a streamline workflow (PhoXplex) for the detection of differential structural features across a panel of cell lines in a global scale. We achieved deep coverage with quantification of over 9000 cross-links and long loop-links in total including potentially novel interactions. Overlaying AlphaFold predictions and disorder protein annotations enables exploration of the quantitative cross-linking data set, to reveal possible associations between mutations and protein structures. Lastly, we discuss current shortcomings and perspectives for deep whole-cell profiling of protein interfaces at large-scale.

Indexed as

Cross-Linking ReagentsProtein Interaction MappingProteomeHumansMass SpectrometryProteomicsTandem Mass SpectrometryCross-Linking ReagentsProteomecancer cell linescross-linking mass spectrometry (XL-MS)enrichable cross-linkermutationsPhoXprotein interactionsTMT

Identifiers

PMID39422127
PMCPMC11537259

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.