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High content imaging-based assay to classify estrogen receptor-? ligands based on defined mechanistic outcomes.

ABSTRACT: Estrogen receptor-? (ER) is an important target both for therapeutic compounds and endocrine disrupting chemicals (EDCs); however, the mechanisms involved in chemical modulation of regulating ER transcriptional activity are inadequately understood. Here, we report the development of a high content analysis-based assay to describe ER activity that uniquely exploits a microscopically visible multi-copy integration of an ER-regulated promoter. Through automated single-cell analyses, we simultaneously quantified promoter occupancy, recruitment of transcriptional cofactors and large-scale chromatin changes in response to a panel of ER ligands and EDCs. Image-derived multi-parametric data was used to classify a panel of ligand responses at high resolution. We propose this system as a novel technology providing new mechanistic insights into EDC activities in a manner useful for both basic mechanistic studies and drug testing.

SUBMITTER: Ashcroft FJ

PROVIDER: S-EPMC3086628 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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High content imaging-based assay to classify estrogen receptor-α ligands based on defined mechanistic outcomes.

Ashcroft F J FJ Newberg J Y JY Jones E D ED Mikic I I Mancini M A MA

Gene 20110120 1-2

Estrogen receptor-α (ER) is an important target both for therapeutic compounds and endocrine disrupting chemicals (EDCs); however, the mechanisms involved in chemical modulation of regulating ER transcriptional activity are inadequately understood. Here, we report the development of a high content analysis-based assay to describe ER activity that uniquely exploits a microscopically visible multi-copy integration of an ER-regulated promoter. Through automated single-cell analyses, we simultaneous ...[more]

PMID: 21256200

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