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Hoffmann, N.* ; Mayer, G.* ; Has, C.* ; Kopczynski, D.* ; Al Machot, F.* ; Schwudke, D.* ; Ahrends, R.* ; Marcus, K.* ; Eisenacher, M.* ; Turewicz, M.*

A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.

Metabolites 12:584 (2022)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Review
Keywords Lipidomics ; Bioinformatics ; Data Format ; Database ; Mass Spectrometry ; Standardization ; Fair
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2218-1989
e-ISSN 2218-1989
Journal Metabolites
Quellenangaben Volume: 12, Issue: 7, Pages: , Article Number: 584 Supplement: ,
Publisher MDPI
Reviewing status Peer reviewed
Institute(s) Helmholtz AI - FZJ (HAI - FZJ)
Grants
PURE (Protein research Unit Ruhr within Europe), a project of North Rhine-Westphalia, a federal state of Germany
Federal Ministry of Education and Research
PubMed ID 35888710
Erfassungsdatum 2022-08-13