Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.

Suchana Chakravarty, Rong Zhang, Xiao-Jun Tian
Author Information
  1. Suchana Chakravarty: School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
  2. Rong Zhang: School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
  3. Xiao-Jun Tian: School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA. ORCID

Abstract

Gene circuits within the same host cell often experience coupling, stemming from the competition for limited resources during transcriptional and translational processes. This resource competition introduces an additional layer of noise to gene expression. Here we present three multi-module antithetic control strategies: negatively competitive regulation (NCR) controller, alongside local and global controllers, aimed at reducing the gene expression noise within the context of resource competition. Through stochastic simulations and fluctuation-dissipation theorem (FDT) analysis, our findings highlight the superior performance of the NCR antithetic controller in reducing noise levels. Our research provides an effective control strategy for attenuating resource-driven noise and offers insight into the development of robust gene circuits.

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Grants

  1. R35 GM142896/NIGMS NIH HHS

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