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Updated: May 30, 2026

Imaging of Estrogen Receptor-α in Rat Pial Arterioles using a Digital Immunofluorescent Microscope

Imaging of Estrogen Receptor-α in Rat Pial Arterioles using a Digital Immunofluorescent Microscope

Published on: November 29, 2011

Automated microscopy and image analysis for androgen receptor function.

Sean M Hartig¹, Justin Y Newberg, Michael J Bolt

¹Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA. hartig@bcm.edu

Methods in Molecular Biology (Clifton, N.J.)

|July 29, 2011

Summary

This summary is machine-generated.

High-throughput microscopy enables detailed analysis of androgen receptor (AR) signaling pathways. This approach facilitates the discovery of new drug targets and understanding AR

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Area of Science:

Cell biology
Molecular biology
Pharmacology

Background:

Traditional biochemical methods have limitations in studying complex cellular signaling.
Androgen receptor (AR) signaling is crucial in various physiological processes and diseases.
Systems-level approaches are needed to understand AR signaling dynamics.

Purpose of the Study:

To highlight key steps for developing and conducting high-throughput microscopy screens.
To identify novel drug targets and mechanisms in AR signaling.
To enable the discovery of agonist/antagonist response windows.

Main Methods:

Utilizing analytical, microscopy-based technology for systems-level analysis.
Quantifying single-cell behavior via high-throughput microscopy.
Employing endogenous protein analysis and biosensor cell lines.
Automating cell imaging and analytical protocols.

Main Results:

Enabled quantification of single-cell behavior in AR signaling.
Facilitated detection of acute and latent responses to androgenic stimuli.
Provided access to a multiplex model system for AR signaling analysis.
Automated protocols for discovering agonist/antagonist response windows.

Conclusions:

High-throughput microscopy offers a powerful platform for AR signaling research.
This approach surpasses limitations of classic biochemical methods.
It is instrumental in identifying novel drug targets and understanding AR pathway effectors.