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Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics.
Bittremieux, Wout; Avalon, Nicole E; Thomas, Sydney P; Kakhkhorov, Sarvar A; Aksenov, Alexander A; Gomes, Paulo Wender P; Aceves, Christine M; Caraballo-Rodríguez, Andrés Mauricio; Gauglitz, Julia M; Gerwick, William H; Huan, Tao; Jarmusch, Alan K; Kaddurah-Daouk, Rima F; Kang, Kyo Bin; Kim, Hyun Woo; Kondic, Todor; Mannochio-Russo, Helena; Meehan, Michael J; Melnik, Alexey V; Nothias, Louis-Felix; O'Donovan, Claire; Panitchpakdi, Morgan; Petras, Daniel; Schmid, Robin; Schymanski, Emma L; van der Hooft, Justin J J; Weldon, Kelly C; Yang, Heejung; Xing, Shipei; Zemlin, Jasmine; Wang, Mingxun; Dorrestein, Pieter C.
Afiliação
  • Bittremieux W; Department of Computer Science, University of Antwerp, 2020, Antwerpen, Belgium. wout.bittremieux@uantwerpen.be.
  • Avalon NE; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA.
  • Thomas SP; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Kakhkhorov SA; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Aksenov AA; Laboratory of Physical and Chemical Methods of Research, Center for Advanced Technologies, Tashkent, 100174, Uzbekistan.
  • Gomes PWP; Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.
  • Aceves CM; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Caraballo-Rodríguez AM; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Gauglitz JM; Department of Chemistry, University of Connecticut, Storrs, CT, 06269, USA.
  • Gerwick WH; Arome Science inc., Farmington, CT, 06032, USA.
  • Huan T; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Jarmusch AK; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Kaddurah-Daouk RF; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA.
  • Kang KB; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Kim HW; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Kondic T; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Mannochio-Russo H; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Meehan MJ; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA.
  • Melnik AV; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Nothias LF; Department of Chemistry, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.
  • O'Donovan C; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Panitchpakdi M; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Petras D; Immunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA.
  • Schmid R; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27701, USA.
  • Schymanski EL; Department of Medicine, Duke University, Durham, NC, 27710, USA.
  • van der Hooft JJJ; Duke Institute of Brain Sciences, Duke University, Durham, NC, 27710, USA.
  • Weldon KC; College of Pharmacy and Research Institute of Pharmaceutical Sciences, Sookmyung Women's University, Seoul, 04310, Korea.
  • Yang H; College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University, Goyang, 10326, Korea.
  • Xing S; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367, Belvaux, Luxembourg.
  • Zemlin J; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Wang M; Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
  • Dorrestein PC; Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University, Araraquara, 14800-901, Brazil.
Nat Commun ; 14(1): 8488, 2023 Dec 20.
Article em En | MEDLINE | ID: mdl-38123557
ABSTRACT
Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over the past decade, the majority of acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect spectral library, consisting of 87,916 annotated MS/MS spectra derived from hundreds of millions of MS/MS spectra originating from published untargeted metabolomics experiments. Entries in this library, or "suspects," were derived from unannotated spectra that could be linked in a molecular network to an annotated spectrum. Annotations were propagated to unknowns based on structural relationships to reference molecules using MS/MS-based spectrum alignment. We demonstrate the broad relevance of the nearest neighbor suspect spectral library through representative examples of propagation-based annotation of acylcarnitines, bacterial and plant natural products, and drug metabolism. Our results also highlight how the library can help to better understand an Alzheimer's brain phenotype. The nearest neighbor suspect spectral library is openly available for download or for data analysis through the GNPS platform to help investigators hypothesize candidate structures for unknown MS/MS spectra in untargeted metabolomics data.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acesso à Informação / Espectrometria de Massas em Tandem Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acesso à Informação / Espectrometria de Massas em Tandem Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica