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Allosteric Constraints on Rewiring Inducible Repressors

Aug 2026 · bioRxiv · 0 citations
Biology

TL;DR

Results show that regulatory performance is determined by how efficiently ligand binding redistributes conformational states and suggest that natural co-repressible scaffolds may provide superior foundations for engineering ligand-activated transcriptional control.

Abstract

Precise chemical control of transgene expression is central to synthetic biology, mammalian cell engineering, and gene therapy. Although tetracycline-responsive systems are widely used, converting an inducible repressor into a robust co-repressible regulator remains difficult. Systems engineered to activate DNA binding in response to ligand often exhibit elevated basal expression, weak switching, and limited dynamic range, suggesting that regulatory polarity is constrained by the underlying allosteric free-energy landscape. Here we combine thermodynamic modeling with matched mammalian reporter assays to examine the fundamental distinction between inducible and co-repressible regulation. Using a promoter-occupancy framework, we describe how ligand binding redistributes regulators between DNA-binding–competent and DNA-binding–incompetent conformations to control transcriptional output. Inducible repressors such as TetR activate transcription by reducing operator occupancy, whereas co-repressible systems must increase operator occupancy to suppress transcription, imposing fundamentally different energetic requirements. Experimental comparison of TetR-derived and PurR-derived regulators supports this thermodynamic interpretation. TetR-based systems produced strong ligand-dependent induction, whereas reverse TetR variants exhibited weaker co-repressible behavior and higher residual expression. In contrast, the natural co-repressible regulator PurR responded to hypoxanthine with ligand-stabilized DNA binding, and PurR–VP16 produced stronger ligand-dependent transcriptional activation than reverse TetR. Together, these results show that regulatory performance is determined by how efficiently ligand binding redistributes conformational states and suggest that natural co-repressible scaffolds may provide superior foundations for engineering ligand-activated transcriptional control.

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