Androgen receptor functional analyses by high throughput imaging: determination of ligand, cell cycle, and

Adam T Szafran1, Maria Szwarc, Marco Marcelli

  • 1Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.

Plos One
|November 4, 2008
PubMed
Abstract

Insights

A new high-throughput imaging assay quantifies androgen receptor (AR) function and its response to various compounds. This method aids in developing therapies for AR-related diseases like prostate cancer and personalizing treatments for androgen insensitivity syndrome (AIS).

Area of Science:

  • Molecular Biology
  • Cell Biology
  • Pharmacology

Background:

  • Androgen receptor (AR) function is crucial in diseases like prostate cancer and androgen insensitivity syndrome (AIS).
  • Understanding AR modulation by external factors is key for developing effective therapies and analyzing environmental endocrine disruptors.

Purpose of the Study:

  • To develop a high-throughput (HT) image-based assay for quantifying AR subcellular localization, subnuclear distribution, and transcriptional activity.
  • To enable cell cycle-dependent analysis of AR function in unsynchronized cell populations.

Main Methods:

  • Developed an HT image-based assay measuring AR distribution and reporter gene activity cell-by-cell.
  • Integrated DNA content analysis for cell cycle determination.
  • Selective analysis of cells expressing physiological AR levels to ensure assay accuracy.

Main Results:

  • Achieved high assay quality with EC50 coefficients of variation of 5-24% and Z' values up to 0.91.
  • Demonstrated that AR nuclear translocation and speckling correlate with transcriptional output.
  • Showed differential effects of ligands on wild-type versus mutant AR, indicating distinct mechanisms of action.
  • Successfully applied HT imaging to patient-derived AIS mutations for personalized medicine, identifying ligands to restore AR function.

Conclusions:

  • HT imaging-based multiplex screening offers a rapid, systems-level approach for analyzing compounds and RNAi.
  • This method can differentiate effects on wild-type AR versus clinically relevant AR mutations.
  • Facilitates personalized medicine strategies for AR-related disorders.