Integrative analysis of multimodal mass spectrometry data in MZmine 3

0574795 - ÚOCHB 2024 RIV US eng J - Článek v odborném periodiku
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
Grant CEP: GA ČR(CZ) GM21-11563M
GRANT EU: European Commission(XE) 891397 - KavaTarget
Institucionální podpora: RVO:61388963
Klíčová slova: mass spectrometry * data processing * ion mobility * MALDI
Obor OECD: Analytical chemistry
Impakt faktor: 46.9, rok: 2022
Způsob publikování: Omezený přístup
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.
Trvalý link: https://hdl.handle.net/11104/0344852