Evidence map›Paper›PMID 42642374›Full record

ArticleNature communications2026

FAIMS-GPF XL-MS: crosslinking-mass spectrometry based on gas-phase fractionation.

Hugo Gizardin-Fredon, Salvatore Terrosu, Simon Pichard, Zinedine Loukili, Dursun Korkut, Cathy Braun, Arnaud Poterszman, Clément Charenton, Sarah Cianférani

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hugo Gizardin-FredonLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France.ORCID http://orcid.org/0000-0002-3566-7206
Salvatore TerrosuUniversité de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.ORCID http://orcid.org/0000-0001-8643-4077
Simon PichardBiostructure (CBI/IGBMC), CNRS UAR 2061, Inserm US 67, Université de Strasbourg, Illkirch, France.
Zinedine LoukiliLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France.
Dursun KorkutUniversité de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.
Cathy BraunUniversité de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.
Arnaud PoterszmanUniversité de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.
Clément CharentonUniversité de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.ORCID http://orcid.org/0000-0002-8959-7012
Sarah CianféraniLaboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178, Université de Strasbourg, CNRS, Strasbourg, France. sarah.cianferani@unistra.fr.ORCID http://orcid.org/0000-0003-4013-4129

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-10-INBS-08-03
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) underpin nearly all cellular processes; therefore, mapping PPI and protein-protein association networks is critical for understanding how biological systems function in health and disease. However, many functionally relevant PPIs are transient and mediated by weak affinity interactions, making them challenging to detect. Using chemical cross-linking together with mass spectrometry (XL-MS) has emerged as an important category of methods for mapping PPIs, including those that are more dynamic and transient. However, XL-MS workflows face limitations which hinder their routine use, especially in proteomic platforms. Here, to address these limitations, we develop a XL-MS workflow based on gas-phase fractionation (GPF) using high-field asymmetric waveform ion mobility spectrometry (FAIMS). Our optimized FAIMS-GPF XL-MS protocols exhibit improved performance when handling both low-complexity samples, such as purified Cdk7-Activating Kinase (CAK) heterotrimer, and high-complexity cross-linked HeLa lysates. In HeLa lysate, we identify 1269 cross-links accounting for 213 PPIs without any in-solution fractionation, starting from less than 20 µg of sample. The method also proves effective for analyzing low-abundance, high-complexity samples such as spliceosomes. Here we show that FAIMS-GPF enhances the detection of cross-linked peptides and improves PPI coverage, thus offering a scalable, high-sensitivity solution for XL-MS integration with structural biology and functional proteomics applications.

Indexed as

Chemical FractionationIon Mobility SpectrometryMass SpectrometryProtein Interaction MappingCross-Linking ReagentsGasesHeLa CellsHumansProteomicsCross-Linking ReagentsGases

Identifiers

PMID42642374
PMCPMC13507205

What Socratic holds

Textmetadata
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 Socratic graph.