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Updated: Jun 30, 2025

Detecting the Ligand-binding Domain Dimerization Activity of Estrogen Receptor Alpha Using the Mammalian Two-Hybrid Assay
Published on: December 19, 2018
Rational evolution for altering the ligand preference of estrogen receptor alpha
Roy Eerlings1,2,3, Purvi Gupta4, Xiao Yin Lee1
1Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Researchers engineered a new estrogen receptor variant, TERRA, activated by tamoxifen instead of estrogen. This advance enhances synthetic biology tools by overcoming estrogen interference in cellular processes.
Area of Science:
- Synthetic Biology
- Molecular Biology
- Protein Engineering
Background:
- Estrogen receptor alpha is a key component in synthetic biology for controlling genome editing tools.
- Natural estrogen ligands disrupt cellular functions, limiting the receptor's synthetic biology applications.
- Modifying ligand preference is crucial for expanding the utility of estrogen receptors.
Purpose of the Study:
- To engineer an estrogen receptor variant with altered ligand specificity for enhanced synthetic biology applications.
- To develop a platform for modifying steroid receptor ligand preferences and profiling drug resistance.
Main Methods:
- Combined rational protein design, multi-site-directed mutagenesis, and directed evolution in Saccharomyces cerevisiae.
- Screened for variants with altered ligand responsiveness.
- Validated tamoxifen-activated variant (TERRA) in mammalian cells and mice.
Main Results:
- Developed TERRA, an estrogen receptor variant unresponsive to estrogens but activated by tamoxifen.
- TERRA's tamoxifen preference was confirmed in mammalian cells and in vivo models (mice).
- TERRA maintained functionality when fused to Cre recombinase, expanding its use in mammalian synthetic biology.
Conclusions:
- The developed platform enables engineering of ligand preference for steroid receptors, offering a versatile synthetic biology tool.
- TERRA provides a tamoxifen-inducible system for genome editing, overcoming limitations of estrogen-based systems.
- The methodology can be applied to profile drug-resistance landscapes in steroid receptor-targeted therapies.
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