English

Synthetic frequency-controlled gene circuits unlock expanded cellular states

Biological Physics 2024-11-27 v1 Molecular Networks

Abstract

Natural biological systems process environmental information through both amplitude and frequency-modulated signals, yet engineered biological circuits have largely relied on amplitude-based regulation alone. Despite the prevalence of frequency-encoded signals in natural systems, fundamental challenges in designing and implementing frequency-responsive gene circuits have limited their development in synthetic biology. Here we present a Time-Resolved Gene Circuit (TRGC) architecture that enables frequency-to-amplitude signal conversion in engineered biological systems. Through systematic analysis, we establish a theoretical framework that guides the design of synthetic circuits capable of distinct frequency-dependent responses, implementing both high-pass and low-pass filtering behaviors. To enable rigorous characterization of these dynamic circuits, we developed a high-throughput automated platform that ensures stable and reproducible measurements of frequency-dependent r esponses across diverse conditions. Using this platform, we demonstrate that these frequency-modulated circuits can access cellular states unreachable through conventional amplitude modulation, significantly expanding the controllable gene expression space in multi-gene systems. Our results show that frequency modulation expands the range of achievable expression patterns when controlling multiple genes through a single input, demonstrating a new paradigm for engineering cellular behaviors. This work establishes frequency modulation as a powerful strategy for expanding the capabilities of engineered biological systems and enhancing cellular response to dynamic signals.

Cite

@article{arxiv.2411.17158,
  title  = {Synthetic frequency-controlled gene circuits unlock expanded cellular states},
  author = {Rongrong Zhang and Shengjie Wan and Jiarui Xiong and Lei Ni and Ye Li and Yajia Huang and Bing Li and Mei Li and Shuai Yang and Fan Jin},
  journal= {arXiv preprint arXiv:2411.17158},
  year   = {2024}
}
R2 v1 2026-06-28T20:12:43.211Z