ArticleMethods in enzymology2016
Developing Fluorogenic Riboswitches for Imaging Metabolite Concentration Dynamics in Bacterial Cells.
Article in Methods in enzymology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Visualizing Diverse RNA Functions in Living Cells With SpinachBio-protocol · 2026Article
- Genetically Encoded Fluorogenic DNA Aptamers for Imaging Metabolite in Living Cells.Journal of the American Chemical Society · 2025Article
- Large Stokes shift fluorescence activation in an RNA aptamer by intermolecular proton transfer to guanine.Nature communications · 2021Article
- Nucleic-Acid Structures as Intracellular Probes for Live Cells.Advanced materials (Deerfield Beach, Fla.) · 2020Review
- Generation of small molecule-binding RNA arrays and their application to fluorogen-binding RNA aptamers.Methods (San Diego, Calif.) · 2019Article
- Highly efficient expression of circular RNA aptamers in cells using autocatalytic transcripts.Nature biotechnology · 2019Article
- "Second-generation" fluorogenic RNA-based sensors.Methods (San Diego, Calif.) · 2019Review
- Detection of Low-Abundance Metabolites in Live Cells Using an RNA Integrator.Cell chemical biology · 2019Article
- Chemical Biology Gateways to Mapping Location, Association, and Pathway Responsivity.Frontiers in chemistry · 2019Review
- Genetically Encoded Catalytic Hairpin Assembly for Sensitive RNA Imaging in Live Cells.Journal of the American Chemical Society · 2018Article
- In vivo biosensors: mechanisms, development, and applications.Journal of industrial microbiology & biotechnology · 2018Article
- Design of Artificial Riboswitches as Biosensors.Sensors (Basel, Switzerland) · 2017Review
- Long-Range Interactions in Riboswitch Control of Gene Expression.Annual review of biophysics · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Genetically encoded small-molecule sensors are important tools for revealing the dynamics of metabolites and other small molecules in live cells over time. We recently developed RNA-based sensors that exhibit fluorescence in proportion to a small-molecule ligand. One class of these RNA-based sensors are termed Spinach riboswitches. These are RNAs that are based on naturally occurring riboswitches, but have been fused to the Spinach aptamer. The resulting RNA is a fluorogenic riboswitch, producing fluorescence upon binding the cognate small-molecule analyte. Here, we describe how to design and optimize these sensors by adjusting critical sequence elements, guided by structural insights from the Spinach aptamer. We provide a stepwise procedure to characterize sensors in vitro and to express sensors in bacteria for live-cell imaging of metabolites. Spinach riboswitch sensors offer a simple method for fluorescence measurement of a wide range of metabolites for which riboswitches exist, including nucleotides and their derivatives, amino acids, cofactors, cations, and anions.
Indexed as
Identifiers
What OpenQuestion holds
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.