This work examines how promoter organization shapes TetR-based gene regulation in mammalian cells using a panel of single-vector constructs spanning a broad range of promoter strengths to identify regulatory architecture as a primary determinant of circuit performance and establish design principles for constructing more predictable gene expression systems in eukaryotic cells.
Abstract
Inducible gene expression systems are widely used in synthetic biology and gene therapy, yet their performance depends not only on regulator chemistry but also on circuit architecture. Here, we examine how promoter organization shapes TetR-based gene regulation in mammalian cells using a panel of single-vector constructs spanning a broad range of promoter strengths. Experiments and thermodynamic models show that bidirectional circuits impose a trade-off between output and control: increasing promoter strength elevates both induced and basal expression, compressing dynamic range. Incorporating transcriptional coupling explains the parallel scaling of these states in compact divergent designs. In contrast, autogenous regulation couples repressor production to transcription, introducing negative feedback that buffers promoter strength and preserves fold induction. Finally, adding ligand-responsive aptazymes as a post-transcriptional layer further suppresses basal expression while maintaining inducibility, albeit with reduced maximal output. Together, these results identify regulatory architecture as a primary determinant of circuit performance and establish design principles for constructing more predictable gene expression systems in eukaryotic cells.
Genes function within dense networks of interactions, where phenotypes often depend on the relative expression levels rather than loss or gain of function. Most genetic interactions in
Saccharomyces cerevisiae
have been identified using deletions or overexpression, leaving dosage-dependent interactions underexplo...
Quantitatively relating transcription factor (TF) input to gene expression output is central to understanding mammalian gene regulation and essential for designing predictable synthetic expression systems. However, even minimal synthetic systems often exhibit unexplained behaviors. In a widely used inducible mammalian...
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