Evidence map›Paper›PMID 40411377›Full record

ArticleProtein science : a publication of the Protein Society2025

MultiPassMerger: Automated data processing for multipass cyclic ion mobility HDX-MS.

Vanessa Duerr, Damon Griffiths, Argyris Politis

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 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. MultiPassMerger: Automated data processing for multipass cyclic ion mobility HDX-MS.Protein science : a publication of the Protein Society · 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

3 authors.

Vanessa DuerrFaculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK.ORCID 0009-0007-0632-3619
Damon GriffithsFaculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK.ORCID 0009-0003-1314-7503
Argyris PolitisFaculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-6658-3224

Funding

Biotechnology and Biological Sciences Research Council BB/V006487/2Biotechnology and Biological Sciences Research Council BB/Y004981/1Engineering and Physical Sciences Research Council EP/V011715/1European Commission 101183630Medical Research Centre MR/X013030/1Waters Corporation through iCASE partnership PhD programmes
6 · The paper itself

Abstract

Hydrogen/deuterium exchange-mass spectrometry (HDX-MS) is a powerful tool for studying protein structure and dynamics. As a bottom-up LC-MS technique, its success largely depends on peptide identifications made by peptide mapping prior to HDX measurements. We previously demonstrated that combining peptide mapping results from complementary single- and multipass cyclic ion mobility-mass spectrometry (cIM-MS) experiments, an approach we term "multi-sequence" cIM-MS, can enhance HDX-MS by increasing peptide identifications. However, this approach required labor-intensive, manual handling of the acquired data, including lengthy optimization of drift time (DT) versus DT full width half maximum (FWHM) trendlines during peak detection processing to combat cyclic wrap-around effects. Here, we present MultiPassMerger, an open-source software tool that automates the processing, merging, and filtering of single- and multipass cIM-MS peptide mapping data. MultiPassMerger was validated through re-analysis of several model proteins. Its automated capabilities enabled better optimization of DT versus DT FWHM trendlines on a protein-specific basis, enhancing peptide identification relative to manually optimized trendlines. Beyond automating our previous approach, MultiPassMerger also introduces a novel "multi-trendline" processing method, involving iterative processing using multiple trendlines and merging of results to better sample ions across the DT versus DT FWHM distribution. Using MultiPassMerger with both multi-sequence and multi-trendline strategies increased peptide identifications up to 392% relative to SYNAPT G2-Si with linear ion mobility and 102% relative to use of single-pass cIM-MS alone. Consequently, MultiPassMerger can enhance peptide mapping and makes this approach practical and more accessible to the wider HDX-MS community. MultiPassMerger is available as a downloadable Windows executable at https://politislab.uk/multipassmerger.

Indexed as

Hydrogen Deuterium Exchange-Mass SpectrometryIon Mobility SpectrometryPeptide MappingPeptidesProteinsSoftwarePeptidesProteinscIM‐MScyclic ion mobilityHDMSEHDXhydrogen/deuterium exchangeintegral membrane proteinsmultipasspeptide mapping

Identifiers

PMID40411377
PMCPMC12102732

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LicenceCC BY
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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.