Precise control of gene expression in a cell-state-specific manner is essential for effective therapeutic interventions in complex and dynamic disease microenvironments. Traditional targeting strategies that rely on surface markers or cell type-specific promoters often assume static cellular identities, limiting effectiveness in context such as cancer and inflammation, where cell states are highly heterogeneous and dynamic. RNA sensors, such as RADAR (RNA sensing using Adenosine Deaminases Acting on RNA), provide a modular, programmable, and nonintegrating platform for classifying cell states. However, it is also characterized by low sensitivity and dynamic range, which limits its applications in detecting low-abundance transcripts. In this work, we integrate RADAR sensors with a signal amplification circuit to enhance sensitivity and dynamic range. We demonstrate that this combined RADAR-amplifier platform enables real-time monitoring of subtle changes in the abundance of endogenous transcripts under physiological conditions. Our results demonstrate the utility of this platform for fundamental biological studies and the development of precision therapeutic strategies.
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Ha Eun Lim
Carlos D. Llanos
James Chappell
ACS Synthetic Biology
Rice University
Institut de Biologie systémique et synthétique
Synthetic Biologics (United States)
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Lim et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69ca134b883daed6ee0953a2 — DOI: https://doi.org/10.1021/acssynbio.5c00662
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