Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices

Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature methods Jg. 18; H. 7; S. 747 - 756
Hauptverfasser: Alseekh, Saleh, Aharoni, Asaph, Brotman, Yariv, Contrepois, Kévin, D'Auria, John, Ewald, Jan, C Ewald, Jennifer, Fraser, Paul D, Giavalisco, Patrick, Hall, Robert D, Heinemann, Matthias, Link, Hannes, Luo, Jie, Neumann, Steffen, Nielsen, Jens, Perez de Souza, Leonardo, Saito, Kazuki, Sauer, Uwe, Schroeder, Frank C, Schuster, Stefan, Siuzdak, Gary, Skirycz, Aleksandra, Sumner, Lloyd W, Snyder, Michael P, Tang, Huiru, Tohge, Takayuki, Wang, Yulan, Wen, Weiwei, Wu, Si, Xu, Guowang, Zamboni, Nicola, Fernie, Alisdair R
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Nature Publishing Group 01.07.2021
Schlagworte:
ISSN:1548-7091, 1548-7105, 1548-7105
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography- and gas chromatography-mass spectrometry-based metabolomics-derived data.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-021-01197-1