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Updated: Aug 21, 2026

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters
Published on: November 26, 2013
Creation and discovery of ligand-receptor pairs for transcriptional control with small molecules
Lauren J Schwimmer1, Priyanka Rohatgi, Bahareh Azizi
1School of Chemistry and Biochemistry, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Drive, Atlanta, GA 30332, USA.
Abstract:
The nuclear receptor retinoid X receptor (RXR) is a ligand-activated transcription factor. To create receptors for a new ligand, a structure-based approach was used to generate a library of approximately 380,000 mutant RXR genes. To discover functional variants within the library, we used chemical complementation, a method of protein engineering that uses the power of genetic selection. Wild-type RXR has an EC50 of 500 nM for 9-cis retinoic acid (9cRA) and an EC50 of >10 microM for the synthetic retinoid-like compound LG335 in yeast. The library produced ligand-receptor pairs with LG335 that have a variety of EC50 values (40 nM to >2 microM) and activation levels (10-80% of wild-type RXR with 9cRA) in yeast. The variant I268V;A272V;I310L;F313M has an EC50 for LG335 of 40 nM and an EC50 for 9cRA of >10 microM in yeast. This variant has essentially the reverse ligand specificity of wild-type RXR and is transcriptionally active at a 10-fold-lower ligand concentration in yeast. This EC50 is 25-fold lower than the best receptor we have engineered through site-directed mutagenesis, Q275C;I310M;F313I. Furthermore, the variants' EC50 values and activation levels in yeast and mammalian cells correlate. This protein engineering method should be extendable to produce other functional ligand-receptor pairs, which can be selected and characterized from libraries within weeks. Coupling large library construction with chemical complementation could be used to engineer proteins that bind virtually any small molecule for conditional gene expression, applications in metabolic engineering, and biosensors and to engineer enzymes through genetic selection.
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