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microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data
Zuffa, S.; Schmid, R.; Bauermeister, A.; P. Gomes, P.W.; Caraballo-Rodriguez, A.M.; El Abiead, Y.; Aron, A.T.; Gentry, E.C.; Zemlin, J.; Meehan, M.J.; Avalon, N.E.; Cichewicz, R.H.; Buzun, E.; Terrazas, M.C.; Hsu, C.-Y.; Oles, R.; Ayala, A.V.; Zhao, J.; Chu, H.; Kuijpers, M.C.M.; Jackrel, S.L.; Tugizimana, F.; Nephali, L.P.; Dubery, I.A.; Madala, N.E.; Moreira, E.A.; Costa-Lotufo, L.V.; Lopes, N.P.; Rezende-Teixeira, P.; Jimenez, P.C.; Rimal, B.; Patterson, A.D.; Traxler, M.F.; Pessotti, R. de Cassia; Alvarado-Villalobos, D.; Tamayo-Castillo, G.; Chaverri, P.; Escudero-Leyva, E.; Quiros-Guerrero, L.-M.; Bory, A.J.; Joubert, J.; Rutz, A.; Wolfender, J.-L.; Allard, P.-M.; Sichert, A.; Pontrelli, S.; Pullman, B.S.; Bandeira, N.; Gerwick, W.H.; Gindro, K.; Massana-Codina, J.; Wagner, B.C.; Forchhammer, K.; Petras, D.; Aiosa, N.; Garg, N.; Liebeke, M.; Bourceau, P.; Kang, K.B.; Gadhavi, H.; de Carvalho, L.P.S.; Silva dos Santos, M.; Pérez-Lorente, A.I.; Molina-Santiago, C.; Romero, D.; Franke, R.; Brönstrup, M.; Vera Ponce de León, A.; Pope, P.B.; La Rosa, S.L.; La Barbera, G.; Roager, H.M.; Laursen, M.F.; Hammerle, F.; Siewert, B.; Peintner, U.; Licona-Cassani, C.; Rodriguez-Orduña, L.; Rampler, E.; Hildebrand, F.; Koellensperger, G.; Schoeny, H.; Hohenwallner, K.; Panzenboeck, L.; Gregor, R.; O’Neill, E.C.; Roxborough, E.T.; Odoi, J.; Bale, N.J.; Ding, S.; Sinninghe Damsté, J.S.; Guan, X.L.; Cui, J.J.; Ju, K.-S.; Silva, D.B.; Silva, F.M.R.; da Silva, G.F.; Koolen, H.H.F.; Grundmann, C.; Clement, J.A.; Mohimani, H.; Broders, K.; McPhail, K.L.; Ober-Singleton, S.E.; Rath, C.M.; McDonald, D.; Knight, R.; Wang, M.; Dorrestein, P.C. (2024). microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nature Microbiology 9(2): 336-345. https://dx.doi.org/10.1038/s41564-023-01575-9
In: Nature Microbiology. Springer Nature: London. ISSN 2058-5276, more
Peer reviewed article  

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Author keywords
    Computational biology and bioinformatics; Metabolomics; Microbiology

Authors  Top 
  • Bale, N., more
  • Sinninghe Damste, J.S., more

Abstract
    microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms’ role in ecology and human health.

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