Synthetic frequency-controlled gene circuits unlock expanded cellular states
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 challen...
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Veröffentlicht in: | arXiv.org 2024-11 |
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Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 2331-8422 |