A Taxonomically-informed Mass Spectrometry Search Tool for Microbial Metabolomics Data

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 the...

Descripción completa

Detalles Bibliográficos
Autores principales: Zuffa, Simone, Schmid, Robin, Bauermeister, Anelize, Gomes, Paulo Wender P., Caraballo-Rodriguez, Andres M., Abiead, Yasin El, Aron, Allegra T., Gentry, Emily C., Zemlin, Jasmine, Meehan, Michael J., Avalon, Nicole E., Cichewicz, Robert H., Buzun, Ekaterina, Terrazas, Marvic Carrillo, Hsu, Chia-Yun, Oles, Renee, Ayala, Adriana Vasquez, Zhao, Jiaqi, Chu, Hiutung, Kuijpers, Mirte C. M., Jackrel, Sara L., Tugizimana, Fidele, Nephali, Lerato Pertunia, Dubery, Ian A., Madala, Ntakadzeni Edwin, Moreira, Eduarda Antunes, Costa-Lotufo, Leticia Veras, Lopes, Norberto Peporine, Rezende-Teixeira, Paula, Jimenez, Paula C., Rimal, Bipin, Patterson, Andrew D., Traxler, Matthew F., de Cassia Pessotti, Rita, Alvarado-Villalobos, Daniel, Tamayo-Castillo, Giselle, Chaverri, Priscila, Escudero-Leyva, Efrain, Quiros-Guerrero, Luis-Manuel, Bory, Alexandre Jean, Joubert, Juliette, Rutz, Adriano, Wolfender, Jean-Luc, Allard, Pierre-Marie, Sichert, Andreas, Pontrelli, Sammy, Pullman, Benjamin S, Bandeira, Nuno, Gerwick, William H., Gindro, Katia, Massana-Codina, Josep, Wagner, Berenike C., Forchhammer, Karl, Petras, Daniel, Aiosa, Nicole, Garg, Neha, Liebeke, Manuel, Bourceau, Patric, Kang, Kyo Bin, Gadhavi, Henna, de Carvalho, Luiz Pedro Sorio, dos Santos, Mariana Silva, Pérez-Lorente, Alicia Isabel, Molina-Santiago, Carlos, Romero, Diego, Franke, Raimo, Brönstrup, Mark, de León, Arturo Vera Ponce, Pope, Phillip Byron, Rosa, Sabina Leanti La, Barbera, Giorgia La, Roager, Henrik M., Laursen, Martin Frederik, Hammerle, Fabian, Siewert, Bianka, Peintner, Ursula, Licona-Cassani, Cuauhtemoc, Rodriguez-Orduña, Lorena, Rampler, Evelyn, Hildebrand, Felina, Koellensperger, Gunda, Schoeny, Harald, Hohenwallner, Katharina, Panzenboeck, Lisa, Gregor, Rachel, O’Neill, Ellis Charles, Roxborough, Eve Tallulah, Odoi, Jane, Bale, Nicole J., Ding, Su, Sinninghe Damsté, Jaap S., Guan, Xueli Li, Cui, Jerry J., Ju, Kou-San, Silva, Denise Brentan, Silva, Fernanda Motta Ribeiro, da Silva, Gilvan Ferreira, Koolen, Hector H. F., Grundmann, Carlismari, Clement, Jason A., Mohimani, Hosein, Broders, Kirk, McPhail, Kerry L., Ober-Singleton, Sidnee E., Rath, Christopher M., McDonald, Daniel, Knight, Rob, Wang, Mingxun, Dorrestein, Pieter C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418563/
https://www.ncbi.nlm.nih.gov/pubmed/37577622
http://dx.doi.org/10.21203/rs.3.rs-3189768/v1
Descripción
Sumario: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 microbial-derived metabolites and relative producers, without a priori knowledge, will vastly enhance the understanding of microorganisms’ role in ecology and human health.

Ejemplares similares