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PXD059544

PXD059544 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleThe intracellular free concentration of EDCs enables successful translation between cell-free and cell-based estrogenic activity assays
DescriptionMany environmental toxicants can activate the estrogen receptor α (ERα), contributing to disruption of normal endocrine function. Although these activities are known from in silico, in vitro and in vivo models, transferring the active concentrations between the different models is often challenging. We hypothesized that cellular uptake and the resulting active free intracellular concentration could bridge the gap in efficacy between assays of different complexity. Here, we tested this hypothesis by comparing cell-free (hER) and cellular (ERα-CALUX cells) estrogen assays. First, we used predictive modeling to select representative estrogenic chemicals from the ToxCast collection. Three classes of compounds were identified: Bisphenols, parabens and phthalates. We then confirmed that the potency of many of the estrogenic chemicals differed between the two systems. Next, we determined cellular uptake and intracellular binding using computational and experimental methods. Finally, we used cellular uptake and intracellular binding to improve the correlation between ERα activities in cell-free systems (hER) and cellular systems (ERα-CALUX cells) to allow translation of active concentrations between the two models. Both the computationally derived and measured cellular TK parameters varied widely between the different classes and chemicals within these classes. The free intracellular concentration was up to 1000 times lower than the nominal extracellular concentration. Correcting the active concentrations in the cell-free and cell-based assays for the computationally predicted or experimentally derived free (unbound) concentration resulted in significantly improved correlations between the two assays. The potencies in the two systems corrected by the experimentally derived cell uptake and binding showed a better correlation (Pearson coefficient, r = 0.887) than the computationally derived one (r = 0.811), and both were significantly improved compared to the uncorrected values (r=0.623). Our results indicate that the free intracellular concentration plays a crucial role for the biological activity of the tested estrogenic compounds and that its determination should be considered for a correct prediction of the potency of estrogenic toxicants. Furthermore, the computational predictions of cellular uptake and binding for these chemicals approach the accuracy of the experimentally determined data and could provide a reliable alternative for rapid screening for potential estrogenicity.
HostingRepositoryPRIDE
AnnounceDate2025-07-31
AnnouncementXMLSubmission_2025-07-31_00:33:12.045.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAlina Meyer
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-01-08 03:57:29ID requested
12025-07-31 00:33:12announced
Publication List
Munic Kos V, Arvidsson S, Islam B, Nikiforova V, Mickols E, Meyer A, Svensson R, Boztepe UG, Banti E, Lundquist P, Khalidi H, Gardner I, Spjuth O, Cotgreave I, Artursson P, The intracellular free concentration of endocrine disrupting chemicals enables translation between cell-free and cell-based estrogenic activity assays. Environ Toxicol Pharmacol, 117():104750(2025) [pubmed]
10.1016/j.etap.2025.104750;
Keyword List
submitter keyword: in vitro,Endocrine-Disrupting Chemicals, estrogenic chemicals, intracellular free concentration
Contact List
Per Artursson
contact affiliationProfessor at Department of Pharmacy, Drug Delivery, Uppsala University
contact emailPer.Artursson@farmaci.uu.se
lab head
Alina Meyer
contact affiliationDepartment of Pharmacy, Uppsala University
contact emailalina.meyer@farmaci.uu.se
dataset submitter
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Dataset FTP location
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