{"title":"基于基因编码荧光rna的生物发光共振能量转移(BRET)传感器,用于细胞成像和目标检测。","authors":"Lan Mi , Mingxu You","doi":"10.1016/j.slasd.2025.100243","DOIUrl":null,"url":null,"abstract":"<div><div>Fluorescence- and bioluminescence-based probes are valuable tools for understanding cell functions in health and disease. Bioluminescence offers an ideal complementary readout to fluorescence due to its minimal background interference and self-illuminating nature. We previously introduced the first type of genetically encodable RNA-based bioluminescence resonance energy transfer (BRET) sensors. These RNA-based probes are highly programmable and can be modularly engineered to detect various cellular targets. While this system was successfully validated <em>in vitro</em> and from the entire cell population within a microplate, the BRET signals were quite dim and difficult to visualize at the single-cell level under a microscope. The ability of single-cell bioluminescence imaging is critical for studying cell-to-cell variations and spatiotemporal changes of cellular targets in different signaling pathways or upon drug treatment. In this study, we will introduce strategies that can enhance the functionality and capability of RNA-based BRET sensors for real-time cellular imaging and sensing. Using commonly used widefield microscopes, single-cell bioluminescent detection of various metabolites and other small molecules can be achieved in both bacterial and mammalian cells. This advancement represents a significant step toward the future development of genetically encoded RNA-based bioluminescent tools for studying disease mechanisms, high-throughput drug screening, and <em>in vivo</em> imaging.</div></div>","PeriodicalId":21764,"journal":{"name":"SLAS Discovery","volume":"35 ","pages":"Article 100243"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetically encoded fluorogenic RNA-based bioluminescence resonance energy transfer (BRET) sensors for cellular imaging and target detection\",\"authors\":\"Lan Mi , Mingxu You\",\"doi\":\"10.1016/j.slasd.2025.100243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Fluorescence- and bioluminescence-based probes are valuable tools for understanding cell functions in health and disease. Bioluminescence offers an ideal complementary readout to fluorescence due to its minimal background interference and self-illuminating nature. We previously introduced the first type of genetically encodable RNA-based bioluminescence resonance energy transfer (BRET) sensors. These RNA-based probes are highly programmable and can be modularly engineered to detect various cellular targets. While this system was successfully validated <em>in vitro</em> and from the entire cell population within a microplate, the BRET signals were quite dim and difficult to visualize at the single-cell level under a microscope. The ability of single-cell bioluminescence imaging is critical for studying cell-to-cell variations and spatiotemporal changes of cellular targets in different signaling pathways or upon drug treatment. In this study, we will introduce strategies that can enhance the functionality and capability of RNA-based BRET sensors for real-time cellular imaging and sensing. Using commonly used widefield microscopes, single-cell bioluminescent detection of various metabolites and other small molecules can be achieved in both bacterial and mammalian cells. This advancement represents a significant step toward the future development of genetically encoded RNA-based bioluminescent tools for studying disease mechanisms, high-throughput drug screening, and <em>in vivo</em> imaging.</div></div>\",\"PeriodicalId\":21764,\"journal\":{\"name\":\"SLAS Discovery\",\"volume\":\"35 \",\"pages\":\"Article 100243\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLAS Discovery\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S247255522500036X\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Discovery","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S247255522500036X","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Genetically encoded fluorogenic RNA-based bioluminescence resonance energy transfer (BRET) sensors for cellular imaging and target detection
Fluorescence- and bioluminescence-based probes are valuable tools for understanding cell functions in health and disease. Bioluminescence offers an ideal complementary readout to fluorescence due to its minimal background interference and self-illuminating nature. We previously introduced the first type of genetically encodable RNA-based bioluminescence resonance energy transfer (BRET) sensors. These RNA-based probes are highly programmable and can be modularly engineered to detect various cellular targets. While this system was successfully validated in vitro and from the entire cell population within a microplate, the BRET signals were quite dim and difficult to visualize at the single-cell level under a microscope. The ability of single-cell bioluminescence imaging is critical for studying cell-to-cell variations and spatiotemporal changes of cellular targets in different signaling pathways or upon drug treatment. In this study, we will introduce strategies that can enhance the functionality and capability of RNA-based BRET sensors for real-time cellular imaging and sensing. Using commonly used widefield microscopes, single-cell bioluminescent detection of various metabolites and other small molecules can be achieved in both bacterial and mammalian cells. This advancement represents a significant step toward the future development of genetically encoded RNA-based bioluminescent tools for studying disease mechanisms, high-throughput drug screening, and in vivo imaging.
期刊介绍:
Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease.
SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success.
SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies.
SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).