microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data.
Creators: name: Zuffa, Simone
name: Schmid, Robin
name: Bauermeister, Anelize
name: Gomes, Paulo Wender P
name: Caraballo-Rodriguez, Andres M
name: Abiead, Yasin El
name: Aron, Allegra T
name: Gentry, Emily C
name: Zemlin, Jasmine
name: Meehan, Michael J
name: Avalon, Nicole E
name: Cichewicz, Robert H
name: Buzun, Ekaterina
name: Terrazas, Marvic Carrillo
name: Hsu, Chia-Yun
name: Oles, Renee
name: Ayala, Adriana Vasquez
name: Zhao, Jiaqi
name: Chu, Hiutung
name: Kuijpers, Mirte CM
name: Jackrel, Sara L
name: Tugizimana, Fidele
name: Nephali, Lerato Pertunia
name: Dubery, Ian A
name: Madala, Ntakadzeni Edwin
name: Moreira, Eduarda Antunes
name: Costa-Lotufo, Leticia Veras
name: Lopes, Norberto Peporine
name: Rezende-Teixeira, Paula
name: Jimenez, Paula C
name: Rimal, Bipin
name: Patterson, Andrew D
name: Traxler, Matthew F
name: de Cassia Pessotti, Rita
name: Alvarado-Villalobos, Daniel
name: Tamayo-Castillo, Giselle
name: Chaverri, Priscila
name: Escudero-Leyva, Efrain
name: Quiros-Guerrero, Luis-Manuel
name: Bory, Alexandre Jean
name: Joubert, Juliette
name: Rutz, Adriano
name: Wolfender, Jean-Luc
name: Allard, Pierre-Marie
name: Sichert, Andreas
name: Pontrelli, Sammy
name: Pullman, Benjamin S
name: Bandeira, Nuno
name: Gerwick, William H
name: Gindro, Katia
name: Massana-Codina, Josep
name: Wagner, Berenike C
name: Forchhammer, Karl
name: Petras, Daniel
name: Aiosa, Nicole
name: Garg, Neha
name: Liebeke, Manuel
name: Bourceau, Patric
name: Bin Kang, Kyo
name: Gadhavi, Henna
name: de Carvalho, Luiz Pedro Sorio
name: Dos Santos, Mariana Silva
name: Pérez-Lorente, Alicia Isabel
name: Molina-Santiago, Carlos
name: Romero, Diego
name: Franke, Raimo
name: Brönstrup, Mark
name: de León, Arturo Vera Ponce
name: Pope, Phillip Byron
name: La Rosa, Sabina Leanti
name: La Barbera, Giorgia
name: Roager, Henrik M
name: Laursen, Martin Frederik
name: Hammerle, Fabian
name: Siewert, Bianka
name: Peintner, Ursula
name: Licona-Cassani, Cuauhtemoc
name: Rodriguez-Orduña, Lorena
name: Rampler, Evelyn
name: Hildebrand, Felina
name: Koellensperger, Gunda
name: Schoeny, Harald
name: Hohenwallner, Katharina
name: Panzenboeck, Lisa
name: Gregor, Rachel
name: O'Neill, Ellis Charles
name: Roxborough, Eve Tallulah
name: Odoi, Jane
name: Bale, Nicole J
name: Ding, Su
name: Damsté, Jaap S Sinninghe
name: Guan, Xue Li
name: Cui, Jerry J
name: Ju, Kou-San
name: Silva, Denise Brentan
name: Silva, Fernanda Motta Ribeiro
name: da Silva, Gilvan Ferreira
name: Koolen, Hector HF
name: Grundmann, Carlismari
name: Clement, Jason A
name: Mohimani, Hosein
name: Broders, Kirk
name: McPhail, Kerry L
name: Ober-Singleton, Sidnee E
name: Rath, Christopher M
name: McDonald, Daniel
name: Knight, Rob
name: Wang, Mingxun
name: Dorrestein, Pieter C
Publisher: name: The Francis Crick Institute
Year: 2024
Subjects: classificationCode: Tumour Biology
subject: Tumour Biology
classificationCode: Signalling & Oncogenes
subject: Signalling &amp; Oncogenes
classificationCode: Ecology,Evolution & Ethology
subject: Ecology,Evolution &amp; Ethology
classificationCode: Infectious Disease
subject: Infectious Disease
classificationCode: Immunology
subject: Immunology
subject: FOS: Clinical medicine
classificationCode: Genetics & Genomics
subject: Genetics &amp; Genomics
classificationCode: Metabolism
subject: Metabolism
classificationCode: Developmental Biology
subject: Developmental Biology
classificationCode: Computational & Systems Biology
subject: Computational &amp; Systems Biology
classificationCode: Human Biology & Physiology
subject: Human Biology &amp; Physiology
classificationCode: Biochemistry & Proteomics
subject: Biochemistry &amp; Proteomics
classificationCode: Structural Biology & Biophysics
subject: Structural Biology &amp; Biophysics
classificationCode: Cell Biology
subject: Cell Biology

description: microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of &gt;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.