<scp>MultiPassMerger</scp>: Automated data processing for multipass cyclic ion mobility <scp>HDX</scp>‐<scp>MS</scp>

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.

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Publication Details

Journal
Protein Science
Published
2025-05-24
DOI
https://doi.org/10.1002/pro.70168
Citations
1
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76

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article

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

Damon Griffiths, Argyris Politis, Vanessa Duerr
1 citations
Protein Science
Mass Spectrometry Techniques and Applications
0.76
article

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

Damon Griffiths, Argyris Politis, Vanessa Duerr
article en
1 citations

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.

Protein ScienceVol. 34(6)
University of Manchester (GB), Alexander Fleming Biomedical Sciences Research Center (GR)
European Commission, Medical Research Centre, Directorate for Biological Sciences, HORIZON EUROPE Framework Programme, Medical Research Council, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council
Decent work and economic growth
Openalex Percentile: Top 31%
Mass Spectrometry Techniques and Applications
0.76
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