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Sensitive image-based chromatin binding assays using inducible ERα to rapidly characterize estrogenic chemicals and mixtures.
Szafran, Adam T; Mancini, Maureen G; Stossi, Fabio; Mancini, Michael A.
Affiliation
  • Szafran AT; Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, MS: BCM 130, Houston, TX 77030, USA.
  • Mancini MG; Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, MS: BCM 130, Houston, TX 77030, USA.
  • Stossi F; Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, MS: BCM 130, Houston, TX 77030, USA.
  • Mancini MA; GCC Center for Advanced Microscopy and Image Informatics, Texas A&M University, Houston, TX, USA.
iScience ; 25(10): 105200, 2022 Oct 21.
Article in En | MEDLINE | ID: mdl-36238893
The United States Environmental Protection Agency (EPA) has been pursuing new high throughput in vitro assays to characterize endocrine disrupting chemicals (EDCs) that interact with estrogen receptor signaling. We characterize two new PRL-HeLa cell models expressing either inducible C-terminal (iGFP-ER) or N-terminal (iER-GFP) tagged estrogen receptor-α (ERα) that allows direct visualization of chromatin binding. These models are an order of magnitude more sensitive, detecting 87 - 93% of very weak estrogens tested compared to only 27% by a previous PRL-HeLa variant and compares favorably to the 73% detected by an EPA-developed computational model using in vitro data. Importantly, the chromatin binding assays distinguished agonist- and antagonist-like phenotypes without activity specific assays. Finally, analysis of complex environmentally relevant chemical mixtures demonstrated how chromatin binding data can be used in risk assessment models to predict activity. These new assays should be a useful in vitro tool to screen for estrogenic activity.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: IScience Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: IScience Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos