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Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
R. Schmid, D. Petras, LF. Nothias, M. Wang, AT. Aron, A. Jagels, H. Tsugawa, J. Rainer, M. Garcia-Aloy, K. Dührkop, A. Korf, T. Pluskal, Z. Kameník, AK. Jarmusch, AM. Caraballo-Rodríguez, KC. Weldon, M. Nothias-Esposito, AA. Aksenov, A....
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem, Research Support, U.S. Gov't, Non-P.H.S.
Grantová podpora
R01 GM107550
NIGMS NIH HHS - United States
T32 AT010131
NCCIH NIH HHS - United States
P41 GM103484
NIGMS NIH HHS - United States
R01 AI126277
NIAID NIH HHS - United States
R01 AI145325
NIAID NIH HHS - United States
R01 GM132649
NIGMS NIH HHS - United States
R01 AI114625
NIAID NIH HHS - United States
R03 CA211211
NCI NIH HHS - United States
NLK
Directory of Open Access Journals
od 2015
Free Medical Journals
od 2010
Nature Open Access
od 2010-12-01
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2010-01-01
Open Access Digital Library
od 2015-01-01
Open Access Digital Library
od 2015-01-01
Medline Complete (EBSCOhost)
od 2012-11-01
Health & Medicine (ProQuest)
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
- MeSH
- hmotnostní spektrometrie metody MeSH
- internet MeSH
- ionty chemie metabolismus MeSH
- metabolické sítě a dráhy * MeSH
- metabolomika metody MeSH
- molekulární struktura MeSH
- reprodukovatelnost výsledků MeSH
- software MeSH
- výpočetní biologie metody MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
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.
Chair for Bioinformatics Friedrich Schiller University Jena Germany
Chiba University UC San Diego Center for Mucosal Immunology Allergy and Vaccines La Jolla CA USA
Department of Pharmaceutical Sciences College of Pharmacy Oregon State University Corvallis OR USA
Department of Psychiatry University of California San Diego San Diego CA USA
Institute of Biomedical Sciences Universidade de São Paulo São Paulo SP Brazil
Institute of Food Chemistry University of Münster Münster Germany
Institute of Inorganic and Analytical Chemistry University of Münster Münster Germany
Institute of Microbiology Czech Academy of Sciences Prague Czech Republic
Institute of Organic Chemistry and Biochemistry Czech Academy of Sciences Prague Czech Republic
IRNASUS Universidad Católica de Córdoba CONICET Facultad de Ciencias Agropecuarias Córdoba Argentina
NuBBE Institute of Chemistry São Paulo State University Araraquara SP Brazil
RIKEN Center for Integrative Medical Sciences Yokohama Kanagawa Japan
RIKEN Center for Sustainable Resource Science Yokohama Kanagawa Japan
Scripps Institution of Oceanography University of California San Diego La Jolla CA USA
Univ Grenoble Alpes CNRS Grenoble INP CHU Grenoble Alpes TIMC IMAG Grenoble France
Citace poskytuje Crossref.org
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