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Updated: Apr 16, 2026

Detecting the Ligand-binding Domain Dimerization Activity of Estrogen Receptor Alpha Using the Mammalian Two-Hybrid Assay
Published on: December 19, 2018
The estrogen receptor fusion system in mouse models: a reversible switch
Jonathan Whitfield1, Trevor Littlewood2, Gerard I Evan2
1Vall d'Hebron Institute of Oncology (VHIO), Barcelona 08035, Spain; Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain;
Tamoxifen-inducible mouse models offer controlled temporal regulation for studying biological processes. This review details the advantages, disadvantages, and potential improvements of these valuable research tools.
Area of Science:
- * Molecular Biology
- * Developmental Biology
- * Cancer Research
Background:
- * Reversible regulatory mouse models are crucial for understanding normal tissue and cancer biology.
- * These models allow temporal control over physiological and pathological events.
- * The tamoxifen-inducible system is a well-established
- reversible switch
- model.
Purpose of the Study:
- * To summarize the advantages and drawbacks of the tamoxifen-inducible system.
- * To describe existing mouse models utilizing this system.
- * To discuss potential improvements for enhanced utility and versatility.
Main Methods:
- * Review of literature on tamoxifen-inducible mouse models.
- * Analysis of the mechanism involving the estrogen receptor's hormone-binding domain.
- * Description of specific mouse models and their applications.
Main Results:
- * The tamoxifen-inducible system utilizes the mammalian estrogen receptor's hormone-binding domain for regulation.
- * Ligand binding releases the fusion protein, enabling its function.
- * Various mouse models employing this system have been developed.
Conclusions:
- * Tamoxifen-inducible systems provide powerful temporal control in biological research.
- * Understanding the system's limitations is key to its effective application.
- * Future improvements could expand the versatility of these regulatory models.
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