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Toward building mass spectrometry-based metabolomics and lipidomics atlases for biological and clinical research

  1. 1.
    0570367 - FGÚ 2024 RIV GB eng J - Článek v odborném periodiku
    Rakušanová, Stanislava - Fiehn, O. - Čajka, Tomáš
    Toward building mass spectrometry-based metabolomics and lipidomics atlases for biological and clinical research.
    TrAC-Trends in Analytical Chemistry. Roč. 158, January (2023), č. článku 116825. ISSN 0165-9936. E-ISSN 1879-3142
    Grant CEP: GA MZd(CZ) NU20-01-00186; GA MZd(CZ) NU22-02-00161; GA MŠMT(CZ) LX22NPO5104; GA MŠMT(CZ) LTAUSA19124; GA ČR(CZ) GA20-21114S; GA ČR(CZ) GA21-00477S
    Institucionální podpora: RVO:67985823
    Klíčová slova: metabolomics * lipidomics * analytical methods * mass spectrometry * atlas * database
    Obor OECD: Analytical chemistry
    Impakt faktor: 11.8, rok: 2023
    Způsob publikování: Open access
    Web výsledku:
    https://doi.org/10.1016/j.trac.2022.116825DOI: https://doi.org/10.1016/j.trac.2022.116825

    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.

    Trvalý link: https://hdl.handle.net/11104/0341665

     
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