Titel
A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
Autor*in
Nils Hoffmann
Forschungszentrum Jülich GmbH, Institute for Bio- and Geosciences (IBG-5)
Autor*in
Gerhard Mayer
Institute of Medical Systems Biology, Ulm University
Autor*in
Canan Has
Biological Mass Spectrometry, Max Planck Institute of Molecular Cell Biology and Genetics
... show all
Abstract
Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography−mass spectrometry, ion mobility or MS imaging approaches on MS1 and potentially higher MS levels. As a result, we determined that the Human Proteome Organization-Proteomics Standards Initiative standard data formats, mzML and mzTab-M, are already supported by a substantial number of recent software tools. We further discuss how mzTab-M can serve as a bridge between data acquisition and lipid bioinformatics tools for interpretation, capturing their output and transmitting rich annotated data for downstream processing. However, we identified several challenges of currently available tools and standards. Potential areas for improvement were: adaptation of common nomenclature and standardized reporting to enable high throughput lipidomics and improve its data handling. Finally, we suggest specific areas where tools and repositories need to improve to become FAIRer.
Stichwort
lipidomicsbioinformaticsdata formatdatabasemass spectrometrystandardizationFAIR
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
phaidra.univie.ac.at/o:1670847
Erschienen in
Titel
Metabolites
Band
12
Ausgabe
7
ISSN
2218-1989
Erscheinungsdatum
2022
Publication
MDPI AG
Erscheinungsdatum
2022
Zugänglichkeit
Rechteangabe
© 2022 by the authors

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