4.6 Article

Genetically Encoded RNA-Based Bioluminescence Resonance Energy Transfer (BRET) Sensors

Journal

ACS SENSORS
Volume -, Issue -, Pages -

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.2c02213

Keywords

bioluminescence resonance energy transfer; fluorogenic RNA aptamers; bioluminescent sensors

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RNA-based nanostructures and molecular devices have been widely used for biosensors and genetic regulators. However, the high reliance on fluorescence as the readout can cause issues such as high background and phototoxicity. In this study, we developed the first genetically encoded RNA-based bioluminescence resonance energy transfer (BRET) sensors for real-time target detection in living cells. This novel system has potential applications in bioanalysis and nanomedicine for engineering biosensors, characterizing cellular RNA-protein interactions, and high-throughput screening or in vivo imaging.
RNA-based nanostructures and molecular devices have become popular for developing biosensors and genetic regulators. These programmable RNA nanodevices can be genetically encoded and modularly engineered to detect various cellular targets and then induce output signals, most often a fluorescence readout. Although powerful, the high reliance of fluorescence on the external excitation light raises concerns about its high background, photobleaching, and phototoxicity. Bioluminescence signals can be an ideal complementary readout for these genetically encoded RNA nanodevices. However, RNA-based real-time bioluminescent reporters have been rarely developed. In this study, we reported the first type of genetically encoded RNA-based bioluminescence resonance energy transfer (BRET) sensors that can be used for real-time target detection in living cells. By coupling a luciferase bioluminescence donor with a fluorogenic RNA-based acceptor, our BRET system can be modularly designed to image and detect various cellular analytes. We expect that this novel RNA-based bioluminescent system can be potentially used broadly in bioanalysis and nanomedicine for engineering biosensors, characterizing cellular RNA-protein interactions, and high-throughput screening or in vivo imaging.

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