The power of the AC-DC circuit: Operating principles of a simple multi-functional transcriptional network motif
Ruben Perez-Carrasco, Chris P. Barnes, Yolanda Schaerli, Mark Isalan,, James Briscoe, Karen M. Page

TL;DR
This paper analyzes the simple AC-DC genetic circuit, revealing its ability to exhibit oscillations, bistability, and multi-functionality, which are useful for synthetic biology and understanding natural regulatory networks.
Contribution
The study provides a dynamical systems analysis of the AC-DC circuit, demonstrating its multi-functionality and potential for synthetic circuit design.
Findings
The AC-DC circuit can exhibit both oscillations and bistability.
Both dynamical regimes can coexist in the same parameter space.
The circuit can switch rapidly between different behaviors and control oscillation coherence.
Abstract
Genetically encoded regulatory circuits control biological function. A major focus of systems biology is to understand these circuits by establishing the relationship between specific structures and functions. Of special interest are multifunctional circuits that are capable of performing distinct behaviors without changing their topology. A particularly simple example of such a system is the AC-DC circuit. Found in multiple regulatory processes, this circuit consists of three genes connected in a combination of a toggle switch and a repressilator. Using dynamical system theory we analyze the available dynamical regimes to show that the AC-DC can exhibit both oscillations and bistability. We found that both dynamical regimes can coexist robustly in the same region of parameter space, generating novel emergent behaviors not available to the individual subnetwork components. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGene Regulatory Network Analysis · stochastic dynamics and bifurcation · Neural dynamics and brain function
