Mixed positive and negative feedback loops drive diverse single-cell gene expression dynamics

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Authors: Torkel E. Loman, Christian Schwall, Teresa Saez, Yujia Liu, James C W Locke
Cited by: 1
References: 68

Abstract

Abstract Genetic circuits with only a few components can generate complex gene regulatory dynamics. Here, we combine stochastic modelling and single-cell time-lapse microscopy to reveal the possible dynamics generated by a key gene circuit motif: the mixed positive/negative feedback loop. Our minimal stochastic model of this motif reveals ten distinct classes of dynamic output, including stochastic pulsing, oscillations, and bistability. We systematically map how the circuit’s core parameters can be tuned to generate each of the behaviours. Experimental validation in two different mixed feedback circuits in the bacterium Bacillus subtilis , σ B and σ V , confirms our model’s predictive power. Guided by our simulations, we are able to transition between dynamic behaviours by modulating in vivo parameters. Together, these results demonstrate how mixed feedback loops generate diverse single-cell dynamics, improving our understanding of this common biological network motif and informing our efforts to engineer them for synthetic biology applications.

Fields of Study & Subjects

Gene Regulatory Network Analysis Receptor Mechanisms and Signaling Single-cell and spatial transcriptomics

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
17 August 2026
Language
EN