NuXLApp : Interactive data analysis and visualization for protein‐nucleic acid crosslinking mass spectrometry

Protein-nucleic acid (protein-Nu) interactions are crucial for many cellular processes and biological functions. Crosslinking mass spectrometry (XL-MS) has emerged as a powerful method for identifying these interactions. However, the analysis of protein-Nu XL-MS data requires an integrated workflow from raw data processing to results inspection and validation. Existing workflows for protein-Nu XL-MS often require switching between tools and considerable manual processing. Here, we introduce NuXLApp, an interactive web-based application for data processing and results visualization in protein-Nu XL-MS studies. NuXLApp integrates the protein-Nu crosslink search engine "NuXL," machine-learning models for peptide property prediction, and interactive result visualization within a reproducible workflow. It enables rapid validation of false discovery rate-controlled crosslink spectrum match-level identifications and facilitates collaboration and intuitive exploration of experimental results. In addition, NuXLApp generates a spectral library from identified protein-Nu crosslinks to enable quantitative analysis of crosslinks using data-independent acquisition (DIA). NuXLApp supports discovery-driven identification of protein-nucleic acid crosslinks and enables DIA-based follow-up experiments for their quantitative analysis. NuXLApp is open-source and available via the OpenMS WebApps platform at https://nuxl.webapps.openms.de/.

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Publication Details

Journal
Protein Science
Published
2026-10-15
DOI
https://doi.org/10.1002/pro.70820
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

NuXLApp : Interactive data analysis and visualization for protein‐nucleic acid crosslinking mass spectrometry

Sergei A. Moshkovskii, Timo T. Sachsenberg, Oliver Kohlbacher, Arslan Siraj et al.
Protein Science
Advanced Proteomics Techniques and Applications
article

NuXLApp : Interactive data analysis and visualization for protein‐nucleic acid crosslinking mass spectrometry

Sergei A. Moshkovskii, Timo T. Sachsenberg, Oliver Kohlbacher, Arslan Siraj, Henning Urlaub, Tom David Müller
article en

Abstract

Protein-nucleic acid (protein-Nu) interactions are crucial for many cellular processes and biological functions. Crosslinking mass spectrometry (XL-MS) has emerged as a powerful method for identifying these interactions. However, the analysis of protein-Nu XL-MS data requires an integrated workflow from raw data processing to results inspection and validation. Existing workflows for protein-Nu XL-MS often require switching between tools and considerable manual processing. Here, we introduce NuXLApp, an interactive web-based application for data processing and results visualization in protein-Nu XL-MS studies. NuXLApp integrates the protein-Nu crosslink search engine "NuXL," machine-learning models for peptide property prediction, and interactive result visualization within a reproducible workflow. It enables rapid validation of false discovery rate-controlled crosslink spectrum match-level identifications and facilitates collaboration and intuitive exploration of experimental results. In addition, NuXLApp generates a spectral library from identified protein-Nu crosslinks to enable quantitative analysis of crosslinks using data-independent acquisition (DIA). NuXLApp supports discovery-driven identification of protein-nucleic acid crosslinks and enables DIA-based follow-up experiments for their quantitative analysis. NuXLApp is open-source and available via the OpenMS WebApps platform at https://nuxl.webapps.openms.de/.

Protein ScienceVol. 35(11)
Universitätsklinikum Tübingen (DE), Universitätsmedizin Göttingen (DE), Max Planck Institute for Biophysical Chemistry (DE), University of Göttingen (DE), University of Tübingen (DE)
Openalex Percentile: Top 26%
Advanced Proteomics Techniques and Applications
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