Phase separation as a tunable regulator of canonical gene regulatory motifs

Gene regulatory networks govern essential cellular processes such as signal transduction, metabolism, and cell fate control. Within these networks, canonical motifs such as genetic toggle switches and repressilators serve as building blocks that generate bistable and oscillatory behaviors. An open question is how cells regulate the dynamical behavior of such motifs, both in natural contexts and in synthetic systems. Recent studies highlight phase separation of transcription factors (TFs) and nucleic acids as a key organizing principle of intracellular biochemistry. In this work, we explore how phase separation of TFs influences the dynamics of toggle switch and repressilator using mean-field theory and stochastic simulations. Our mean-field analysis reveals that phase separation reshapes motif dynamics by altering fixed-point stability and basin geometry in toggle switch, and by altering oscillatory cycles in repressilator. A key finding for both motifs is that when multiple TFs undergo phase separation, the one with the lowest saturation concentration for phase separation dominates system dynamics. Interestingly, stochastic simulations show that the impact of phase separation on fluctuations (or noise) in the abundance of transcription factors within network motifs is architecture-dependent and sharply contrasts with its buffering effect on noise in the expression of isolated genes. Overall, our results show that biomolecular phase separation acts as a physical principle for tuning stability and noise in gene regulatory networks, providing new insights into cellular decision-making.