ReviewGenomics, proteomics & bioinformatics2017
Engineering Novel Molecular Beacon Constructs to Study Intracellular RNA Dynamics and Localization.
Review in Genomics, proteomics & bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Lighting Up Endogenous RNA: Fluorescent Aptamer Sensors for Live-Cell Imaging.Chemical & biomedical imaging · 2026Review
- Reconfigurable Nucleic Acid Nanoparticles with Therapeutic RNAi Responses to Intracellular Disease Markers.Advanced functional materials · 2025Article
- Expanding the Riboglow-FLIM Toolbox with Different Fluorescence Lifetime-Producing RNA Tags.Biochemistry · 2025Article
- Live-cell RNA imaging with the inactivated endonuclease Csy4 enables new insights into plant virus transport through plasmodesmata.PLoS pathogens · 2025Article
- Live-cell imaging of circular and long noncoding RNAs associated with FUS pathological aggregates by Pepper fluorescent RNA.RNA (New York, N.Y.) · 2025Article
- Allosteric genetically encoded biosensor for spatiotemporal monitoring of endogenous RNA dynamics in living cells.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Illuminating RNA Biology: Tools for Imaging RNA in Live Mammalian Cells.Cell chemical biology · 2020Review
- CRISPR/dual-FRET molecular beacon for sensitive live-cell imaging of non-repetitive genomic loci.Nucleic acids research · 2019Article
- Recent progress in single-molecule studies of mRNA localizationRNA biology · 2019Review
- Optimizing peptide nucleic acid probes for hybridization-based detection and identification of bacterial pathogens.The Analyst · 2019Article
- In-stem molecular beacon targeted to a 5'-region of tRNA inclusive of the D arm that detects mature tRNA with high sensitivity.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With numerous advancements in novel biochemical techniques, our knowledge of the role of RNAs in the regulation of cellular physiology and pathology has grown significantly over the past several decades. Nevertheless, detailed information regarding RNA processing, trafficking, and localization in living cells has been lacking due to technical limitations in imaging single RNA transcripts in living cells with high spatial and temporal resolution. In this review, we discuss techniques that have shown great promise for single RNA imaging, followed by highlights in our recent work in the development of molecular beacons (MBs), a class of nanoscale oligonucleotide-probes, for detecting individual RNA transcripts in living cells. With further refinement of MB design and development of more sophisticated fluorescence microscopy techniques, we envision that MB-based approaches could promote new discoveries of RNA functions and activities.
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Identifiers
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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.