ReviewNanomaterials (Basel, Switzerland)2019
Intracellular Imaging with Genetically Encoded RNA-based Molecular Sensors.
Review in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Current biosensing strategies based on in vitro T7 RNA polymerase reaction.Biotechnology notes (Amsterdam, Netherlands) · 2025Review
- Artificial dynamic structure ensemble-guided rational design of a universal RNA aptamer-based sensing tag.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Multiplexed sequential imaging in living cells with orthogonal fluorogenic RNA aptamer/dye pairs.Nucleic acids research · 2024Article
- Genetically encoded RNA-based sensors with Pepper fluorogenic aptamer.Nucleic acids research · 2023Article
- Genetically Encoded RNA-Based Bioluminescence Resonance Energy Transfer (BRET) Sensors.ACS sensors · 2023Article
- Site-directed mutagenesis identified the key active site residues of 2,3-oxidosqualene cyclase HcOSC6 responsible for cucurbitacins biosynthesis inFrontiers in plant science · 2023Article
- Repurposing an adenine riboswitch into a fluorogenic imaging and sensing tag.Nature chemical biology · 2022Article
- Naturally occurring three-way junctions can be repurposed as genetically encoded RNA-based sensors.Cell chemical biology · 2021Article
- Review
- Guanidine Biosensors Enable Comparison of Cellular Turn-on Kinetics of Riboswitch-Based Biosensor and Reporter.ACS synthetic biology · 2021Article
- A Genetically Encoded RNA Photosensitizer for Targeted Cell Regulation.Angewandte Chemie (International ed. in English) · 2020Article
- Imaging IntracellularJournal of the American Chemical Society · 2020Article
- Article
- Genetically Encoded Ratiometric RNA-Based Sensors for Quantitative Imaging of Small Molecules in Living Cells.Angewandte Chemie (International ed. in English) · 2019Article
- A Bottom-Up Approach for Developing Aptasensors for Abused Drugs: Biosensors in Forensics.Biosensors · 2019Review
- Editorial for the Special Issue on "Nucleic Acid Architectures for Therapeutics, Diagnostics, Devices and Materials".Nanomaterials (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Genetically encodable sensors have been widely used in the detection of intracellular molecules ranging from metal ions and metabolites to nucleic acids and proteins. These biosensors are capable of monitoring in real-time the cellular levels, locations, and cell-to-cell variations of the target compounds in living systems. Traditionally, the majority of these sensors have been developed based on fluorescent proteins. As an exciting alternative, genetically encoded RNA-based molecular sensors (GERMS) have emerged over the past few years for the intracellular imaging and detection of various biological targets. In view of their ability for the general detection of a wide range of target analytes, and the modular and simple design principle, GERMS are becoming a popular choice for intracellular analysis. In this review, we summarize different design principles of GERMS based on various RNA recognition modules, transducer modules, and reporting systems. Some recent advances in the application of GERMS for intracellular imaging are also discussed. With further improvement in biostability, sensitivity, and robustness, GERMS can potentially be widely used in cell biology and biotechnology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.