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Harrieder, E.-M. ; Kretschmer, F.* ; Dunn, W.* ; Böcker, S.* ; Witting, M.

Critical assessment of chromatographic metadata in publicly available metabolomics data repositories.

Metabolomics 18:97 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
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Introduction: The structural identification of metabolites represents one of the current bottlenecks in non-targeted liquid chromatography-mass spectrometry (LC–MS) based metabolomics. The Metabolomics Standard Initiative has developed a multilevel system to report confidence in metabolite identification, which involves the use of MS, MS/MS and orthogonal data. Limitations due to similar or same fragmentation pattern (e.g. isomeric compounds) can be overcome by the additional orthogonal information of the retention time (RT), since it is a system property that is different for each chromatographic setup. Objectives: In contrast to MS data, sharing of RT data is not as widespread. The quality of data and its (re-)useability depend very much on the quality of the metadata. We aimed to evaluate the coverage and quality of this metadata from public metabolomics repositories. Methods: We acquired an overview on the current reporting of chromatographic separation conditions. For this purpose, we defined the following information as important details that have to be provided: column name and dimension, flow rate, temperature, composition of eluents and gradient. Results: We found that 70% of descriptions of the chromatographic setups are incomplete (according to our definition) and an additional 10% of the descriptions contained ambiguous and/or incorrect information. Accordingly, only about 20% of the descriptions allow further (re-)use of the data, e.g. for RT prediction. Therefore, we have started to develop a unified and standardized notation for chromatographic metadata with detailed and specific description of eluents, columns and gradients. Conclusion: Reporting of chromatographic metadata is currently not unified. Our recommended suggestions for metadata reporting will enable more standardization and automatization in future reporting.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Data Reuse ; Lc-ms ; Metabolomics ; Repositories ; Retention Time
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 1573-3882
e-ISSN 1573-3890
Journal Metabolomics
Quellenangaben Volume: 18, Issue: 12, Pages: , Article Number: 97 Supplement: ,
Publisher Springer
Publishing Place New York, NY
Reviewing status Peer reviewed
POF-Topic(s) 30203 - Molecular Targets and Therapies
30202 - Environmental Health
Research field(s) Enabling and Novel Technologies
Environmental Sciences
PSP Element(s) G-505700-001
G-504800-001
Grants Deutsche Forschungsgemeinschaft
Scopus ID 85142616716
PubMed ID 36436113
Erfassungsdatum 2022-12-08