Integrative analysis of multimodal mass spectrometry data in MZmine 3

0574795 - ÚOCHB 2024 RIV US eng J - Journal Article
Schmid, Robin - Heuckeroth, S. - Korf, A. - Smirnov, A. - Myers, O. - Dyrlund, T. S. - Bushuiev, Roman - Murray, K. J. - Hoffmann, N. - Lu, M. - Sarvepalli, A. - Zhang, Z. - Fleischauer, M. - Dührkop, K. - Wesner, M. - Hoogstra, S. J. - Rudt, E. - Mokshyna, Olena - Brungs, Corinna - Ponomarov, Kirill - Mutabdžija, Lana - Damiani, Tito - Pudney, C. J. - Earll, M. - Helmer, P. O. - Fallon, T. R. - Schulze, T. - Rivas-Ubach, A. - Bilbao, A. - Richter, H. - Nothias, L. F. - Wang, M. - Orešič, M. - Weng, J. K. - Böcker, S. - Jeibmann, A. - Hayen, H. - Karst, U. - Dorrestein, P. C. - Petras, D. - Du, X. - Pluskal, Tomáš
Integrative analysis of multimodal mass spectrometry data in MZmine 3.
Nature Biotechnology. Roč. 41, č. 4 (2023), s. 447-449. ISSN 1087-0156. E-ISSN 1546-1696
R&D Projects: GA ČR(CZ) GM21-11563M
EU Projects: European Commission(XE) 891397 - KavaTarget
Institutional support: RVO:61388963
Keywords : mass spectrometry * data processing * ion mobility * MALDI
OECD category: Analytical chemistry
Impact factor: 46.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1038/s41587-023-01690-2

Innovation in mass spectrometry (MS) is one of the main drivers of progress in life sciences. The rapidly increasing throughput and sensitivity of MS instrumentation require adaptations and innovations in data processing tools. Here, we introduce MZmine 3, a scalable MS data analysis platform that supports hybrid datasets from various instrumental setups, including gas and liquid chromatography (GC and LC)-MS, ion mobility spectrometry (IMS)-MS, and MS imaging. In particular, the integration of IMS-MS imaging and LC-IMS-MS datasets provides unprecedented opportunities for spatial metabolomics analyses with increased annotation confidence.
Permanent Link: https://hdl.handle.net/11104/0344852