ArticleMetabolomics : Official journal of the Metabolomic Society2020
An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines.
Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 43 citations in OpenAlex.
- Decoding cancer across scales with metabolomics.Nature reviews. Cancer · 2026Review
- Urinary metabolite model to predict the dying process in lung cancer patients.Communications medicine · 2025Article
- Detection and quantification of ergothioneine in human serum using surface enhanced Raman scattering (SERS).The Analyst · 2025Article
- Deep learning prediction of electrospray ionization tandem mass spectra of chemically derived molecules.Nature communications · 2024Article
- The Biology and Biochemistry of Kynurenic Acid, a Potential Nutraceutical with Multiple Biological Effects.International journal of molecular sciences · 2024Review
- A Perspective on How Fibrinaloid Microclots and Platelet Pathology May be Applied in Clinical Investigations.Seminars in thrombosis and hemostasis · 2024Review
- A 70% EthanolMolecules (Basel, Switzerland) · 2024Article
- Legume rhizodeposition promotes nitrogen fixation by soil microbiota under crop diversification.Nature communications · 2024Article
- Article
- Comparative putative metabolites profiling of Tachypleus gigas and Carcinoscorpius rotundicauda hemocytes stimulated with lipopolysaccharide.Scientific reports · 2024Review
- Deorphanizing solute carriers inFrontiers in microbiology · 2024Article
- A rapid and simple non-radioactive assay for measuring uptake by solute carrier transporters.Frontiers in pharmacology · 2024Article
- Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia.Bioscience reports · 2023Article
- Multi-OMICs landscape of SARS-CoV-2-induced host responses in human lung epithelial cells.iScience · 2023Article
- Screening ofFrontiers in microbiology · 2023Article
- Computational analyses of mechanism of action (MoA): data, methods and integration.RSC chemical biology · 2022Review
- Microbial containment device: A platform for comprehensive analysis of microbial metabolism without sample preparation.Frontiers in microbiology · 2022Article
- Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Chemical Components of Aqueous Extracts ofPolish journal of microbiology · 2021Article
- MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra.Biomolecules · 2021Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
introductionIt is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natural molecules to which these drugs are structurally similar. Untargeted metabolomics can provide a method for determining the differential uptake of such metabolites.
objectivesBlood serum contains many thousands of molecules and provides a convenient source of biologically relevant metabolites. Our objective was to detect and identify metabolites present in serum, but to also establish a method capable of measure their uptake and secretion by different cell lines.
methodsWe develop an untargeted LC-MS/MS method to detect a broad range of compounds present in human serum. We apply this to the analysis of the time course of the uptake and secretion of metabolites in serum by several human cell lines, by analysing changes in the serum that represents the extracellular phase (the 'exometabolome' or metabolic footprint).
resultsOur method measures some 4000-5000 metabolic features in both positive and negative electrospray ionisation modes. We show that the metabolic footprints of different cell lines differ greatly from each other.
conclusionOur new, 15-min untargeted metabolome method allows for the robust and convenient measurement of differences in the uptake of serum compounds by cell lines following incubation in serum. This will enable future research to study these differences in multiple cell lines that will relate this to transporter expression, thereby advancing our knowledge of transporter substrates, both natural and xenobiotic compounds.
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