Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment

Bibliographic Details
Main Author: Schmid, Robin
Publication Date: 2021
Other Authors: Petras, Daniel, Nothias, Louis-Félix, Wang, Mingxun, Aron, Allegra T., Jagels, Annika, Tsugawa, Hiroshi, Rainer, Johannes, Garcia-Aloy, Mar, Dührkop, Kai, Korf, Ansgar, Pluskal, Tomáš, Kameník, Zdeněk, Jarmusch, Alan K., Caraballo-Rodríguez, Andrés Mauricio, Weldon, Kelly C., Nothias-Esposito, Melissa, Aksenov, Alexander A., Bauermeister, Anelize, Albarracin Orio, Andrea, Grundmann, Carlismari O., Vargas, Fernando, Koester, Irina, Gauglitz, Julia M., Gentry, Emily C., Hövelmann, Yannick, Kalinina, Svetlana A., Pendergraft, Matthew A., Panitchpakdi, Morgan, Tehan, Richard, Le Gouellec, Audrey, Aleti, Gajender, Mannochio Russo, Helena [UNESP], Arndt, Birgit, Hübner, Florian, Hayen, Heiko, Zhi, Hui, Raffatellu, Manuela, Prather, Kimberly A., Aluwihare, Lihini I., Böcker, Sebastian, McPhail, Kerry L., Humpf, Hans-Ulrich, Karst, Uwe, Dorrestein, Pieter C.
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1038/s41467-021-23953-9
http://hdl.handle.net/11449/221817
Summary: Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.
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spelling Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environmentMolecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.National Institute of General Medical SciencesInstitute of Inorganic and Analytical Chemistry University of MünsterSkaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La JollaScripps Institution of Oceanography University of California San DiegoCMFI Cluster of Excellence Interfaculty Institute of Microbiology and Medicine University of TübingenInstitute of Food Chemistry University of MünsterRIKEN Center for Sustainable Resource ScienceRIKEN Center for Integrative Medical SciencesDepartment of Biotechnology and Life Science Tokyo University of Agriculture and TechnologyInstitute for Biomedicine Eurac Research Affiliated Institute of the University of LübeckChair for Bioinformatics Friedrich-Schiller-UniversityInstitute of Organic Chemistry and Biochemistry Czech Academy of SciencesInstitute of Microbiology Czech Academy of SciencesCollaborative Mass Spectrometry Innovation Center University of California San Diego La JollaInstitute of Biomedical Sciences Universidade de São PauloIRNASUS Universidad Católica de Córdoba CONICET Facultad de Ciencias AgropecuariasSchool of Pharmaceutical Sciences of Ribeirão Preto Universidade de São PauloDepartment of Pharmaceutical Sciences College of Pharmacy Oregon State UniversityUniv. Grenoble Alpes CNRS Grenoble INP CHU Grenoble Alpes TIMC-IMAGDepartment of Psychiatry University of California San DiegoNuBBE Institute of Chemistry São Paulo State University (UNESP)Division of Host-Microbe Systems & Therapeutics Department of Pediatrics University of California San DiegoChiba University-UC San Diego Center for Mucosal Immunology Allergy and Vaccines (CU-UCSD cMAV)NuBBE Institute of Chemistry São Paulo State University (UNESP)National Institute of General Medical Sciences: P41 GM103484National Institute of General Medical Sciences: R01 GM107550National Institute of General Medical Sciences: R03 CA211211University of MünsterLa JollaUniversity of California San DiegoUniversity of TübingenRIKEN Center for Sustainable Resource ScienceRIKEN Center for Integrative Medical SciencesTokyo University of Agriculture and TechnologyAffiliated Institute of the University of LübeckFriedrich-Schiller-UniversityCzech Academy of SciencesUniversidade de São Paulo (USP)Facultad de Ciencias AgropecuariasOregon State UniversityTIMC-IMAGUniversidade Estadual Paulista (UNESP)Allergy and Vaccines (CU-UCSD cMAV)Schmid, RobinPetras, DanielNothias, Louis-FélixWang, MingxunAron, Allegra T.Jagels, AnnikaTsugawa, HiroshiRainer, JohannesGarcia-Aloy, MarDührkop, KaiKorf, AnsgarPluskal, TomášKameník, ZdeněkJarmusch, Alan K.Caraballo-Rodríguez, Andrés MauricioWeldon, Kelly C.Nothias-Esposito, MelissaAksenov, Alexander A.Bauermeister, AnelizeAlbarracin Orio, AndreaGrundmann, Carlismari O.Vargas, FernandoKoester, IrinaGauglitz, Julia M.Gentry, Emily C.Hövelmann, YannickKalinina, Svetlana A.Pendergraft, Matthew A.Panitchpakdi, MorganTehan, RichardLe Gouellec, AudreyAleti, GajenderMannochio Russo, Helena [UNESP]Arndt, BirgitHübner, FlorianHayen, HeikoZhi, HuiRaffatellu, ManuelaPrather, Kimberly A.Aluwihare, Lihini I.Böcker, SebastianMcPhail, Kerry L.Humpf, Hans-UlrichKarst, UweDorrestein, Pieter C.2022-04-28T19:40:47Z2022-04-28T19:40:47Z2021-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/s41467-021-23953-9Nature Communications, v. 12, n. 1, 2021.2041-1723http://hdl.handle.net/11449/22181710.1038/s41467-021-23953-92-s2.0-85108366538Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNature Communicationsinfo:eu-repo/semantics/openAccess2022-04-28T19:40:48Zoai:repositorio.unesp.br:11449/221817Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:40:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
title Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
spellingShingle Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
Schmid, Robin
title_short Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
title_full Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
title_fullStr Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
title_full_unstemmed Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
title_sort Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
author Schmid, Robin
author_facet Schmid, Robin
Petras, Daniel
Nothias, Louis-Félix
Wang, Mingxun
Aron, Allegra T.
Jagels, Annika
Tsugawa, Hiroshi
Rainer, Johannes
Garcia-Aloy, Mar
Dührkop, Kai
Korf, Ansgar
Pluskal, Tomáš
Kameník, Zdeněk
Jarmusch, Alan K.
Caraballo-Rodríguez, Andrés Mauricio
Weldon, Kelly C.
Nothias-Esposito, Melissa
Aksenov, Alexander A.
Bauermeister, Anelize
Albarracin Orio, Andrea
Grundmann, Carlismari O.
Vargas, Fernando
Koester, Irina
Gauglitz, Julia M.
Gentry, Emily C.
Hövelmann, Yannick
Kalinina, Svetlana A.
Pendergraft, Matthew A.
Panitchpakdi, Morgan
Tehan, Richard
Le Gouellec, Audrey
Aleti, Gajender
Mannochio Russo, Helena [UNESP]
Arndt, Birgit
Hübner, Florian
Hayen, Heiko
Zhi, Hui
Raffatellu, Manuela
Prather, Kimberly A.
Aluwihare, Lihini I.
Böcker, Sebastian
McPhail, Kerry L.
Humpf, Hans-Ulrich
Karst, Uwe
Dorrestein, Pieter C.
author_role author
author2 Petras, Daniel
Nothias, Louis-Félix
Wang, Mingxun
Aron, Allegra T.
Jagels, Annika
Tsugawa, Hiroshi
Rainer, Johannes
Garcia-Aloy, Mar
Dührkop, Kai
Korf, Ansgar
Pluskal, Tomáš
Kameník, Zdeněk
Jarmusch, Alan K.
Caraballo-Rodríguez, Andrés Mauricio
Weldon, Kelly C.
Nothias-Esposito, Melissa
Aksenov, Alexander A.
Bauermeister, Anelize
Albarracin Orio, Andrea
Grundmann, Carlismari O.
Vargas, Fernando
Koester, Irina
Gauglitz, Julia M.
Gentry, Emily C.
Hövelmann, Yannick
Kalinina, Svetlana A.
Pendergraft, Matthew A.
Panitchpakdi, Morgan
Tehan, Richard
Le Gouellec, Audrey
Aleti, Gajender
Mannochio Russo, Helena [UNESP]
Arndt, Birgit
Hübner, Florian
Hayen, Heiko
Zhi, Hui
Raffatellu, Manuela
Prather, Kimberly A.
Aluwihare, Lihini I.
Böcker, Sebastian
McPhail, Kerry L.
Humpf, Hans-Ulrich
Karst, Uwe
Dorrestein, Pieter C.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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dc.contributor.none.fl_str_mv University of Münster
La Jolla
University of California San Diego
University of Tübingen
RIKEN Center for Sustainable Resource Science
RIKEN Center for Integrative Medical Sciences
Tokyo University of Agriculture and Technology
Affiliated Institute of the University of Lübeck
Friedrich-Schiller-University
Czech Academy of Sciences
Universidade de São Paulo (USP)
Facultad de Ciencias Agropecuarias
Oregon State University
TIMC-IMAG
Universidade Estadual Paulista (UNESP)
Allergy and Vaccines (CU-UCSD cMAV)
dc.contributor.author.fl_str_mv Schmid, Robin
Petras, Daniel
Nothias, Louis-Félix
Wang, Mingxun
Aron, Allegra T.
Jagels, Annika
Tsugawa, Hiroshi
Rainer, Johannes
Garcia-Aloy, Mar
Dührkop, Kai
Korf, Ansgar
Pluskal, Tomáš
Kameník, Zdeněk
Jarmusch, Alan K.
Caraballo-Rodríguez, Andrés Mauricio
Weldon, Kelly C.
Nothias-Esposito, Melissa
Aksenov, Alexander A.
Bauermeister, Anelize
Albarracin Orio, Andrea
Grundmann, Carlismari O.
Vargas, Fernando
Koester, Irina
Gauglitz, Julia M.
Gentry, Emily C.
Hövelmann, Yannick
Kalinina, Svetlana A.
Pendergraft, Matthew A.
Panitchpakdi, Morgan
Tehan, Richard
Le Gouellec, Audrey
Aleti, Gajender
Mannochio Russo, Helena [UNESP]
Arndt, Birgit
Hübner, Florian
Hayen, Heiko
Zhi, Hui
Raffatellu, Manuela
Prather, Kimberly A.
Aluwihare, Lihini I.
Böcker, Sebastian
McPhail, Kerry L.
Humpf, Hans-Ulrich
Karst, Uwe
Dorrestein, Pieter C.
description Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01
2022-04-28T19:40:47Z
2022-04-28T19:40:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1038/s41467-021-23953-9
Nature Communications, v. 12, n. 1, 2021.
2041-1723
http://hdl.handle.net/11449/221817
10.1038/s41467-021-23953-9
2-s2.0-85108366538
url http://dx.doi.org/10.1038/s41467-021-23953-9
http://hdl.handle.net/11449/221817
identifier_str_mv Nature Communications, v. 12, n. 1, 2021.
2041-1723
10.1038/s41467-021-23953-9
2-s2.0-85108366538
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nature Communications
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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