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Toward building mass spectrometry-based metabolomics and lipidomics atlases for biological and clinical research
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SYSNO ASEP 0570367 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Toward building mass spectrometry-based metabolomics and lipidomics atlases for biological and clinical research Author(s) Rakušanová, Stanislava (FGU-C) ORCID
Fiehn, O. (US)
Čajka, Tomáš (FGU-C) RID, ORCID, SAIArticle number 116825 Source Title TrAC-Trends in Analytical Chemistry. - : Elsevier - ISSN 0165-9936
Roč. 158, January (2023)Number of pages 21 s. Language eng - English Country GB - United Kingdom Keywords metabolomics ; lipidomics ; analytical methods ; mass spectrometry ; atlas ; database OECD category Analytical chemistry R&D Projects NU20-01-00186 GA MZd - Ministry of Health (MZ) NU22-02-00161 GA MZd - Ministry of Health (MZ) LX22NPO5104 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) LTAUSA19124 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA20-21114S GA ČR - Czech Science Foundation (CSF) GA21-00477S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support FGU-C - RVO:67985823 UT WOS 000995351600001 EID SCOPUS 85142678094 DOI 10.1016/j.trac.2022.116825 Annotation Current metabolomics and lipidomics studies are limited in the number of examined matrices, the breadth and scope of methods, reporting the number of metabolites, and data sharing. Here, we discuss the concept of metabolomics and lipidomics atlases that characterize the quantitative distribution and relationships of metabolites in biological matrices and serve as a resource for future studies. Combined sample extraction is recommended to screen the metabolome and lipidome comprehensively. A multiplatform mass spectrometry-based approach with methods for each fraction should follow to separate and detect metabolites differing in their physicochemical properties. Since many known metabolites are detected through untargeted analysis, routine use of multiple internal standards for quantification is advised. This approach provides semiquantitative data and delivers molar concentrations for selected polar metabolites and lipids. An interactive web tool to query metabolites, generate statistical models, visualize data, and download the results should be developed to access generated data easily. Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2024 Electronic address https://doi.org/10.1016/j.trac.2022.116825
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