ReviewF1000Research2016
Current techniques for visualizing RNA in cells.
Review in F1000Research, 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, 31 citations in OpenAlex.
- Article
- Insights into non-coding RNAS: biogenesis, function and their potential regulatory roles in acute kidney disease and chronic kidney disease.Molecular and cellular biochemistry · 2025Review
- Opticool: Cutting-edge transgenic optical tools.PLoS genetics · 2024Review
- Tracking the Message: Applying Single Molecule Localization Microscopy to Cellular RNA Imaging.Chembiochem : a European journal of chemical biology · 2023Review
- RNA-Responsive gRNAs for Controlling CRISPR Activity: Current Advances, Future Directions, and Potential Applications.The CRISPR journal · 2022Review
- Hybridization-Sensitive Fluorescent Probes for DNA and RNA by a Modular "Click" Approach.Bioconjugate chemistry · 2022Article
- In vivo 5-ethynyluridine (EU) labelling detects reduced transcription in Purkinje cell degeneration mouse mutants, but can itself induce neurodegeneration.Acta neuropathologica communications · 2021Article
- Recent Advances in the Molecular Beacon Technology for Live-Cell Single-Molecule Imaging.iScience · 2020Review
- Covalent labeling of nucleic acids.Chemical Society reviews · 2020Review
- Bioorthogonal mRNA labeling at the poly(A) tail for imaging localization and dynamics in live zebrafish embryos.Chemical science · 2020Article
- mRNA Localization in Plant Cells.Plant physiology · 2020Review
- Strategic labelling approaches for RNA single-molecule spectroscopy.RNA biology · 2019Review
- Live-Cell Imaging of Mobile RNAs in Plants.Plant physiology · 2018Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Labeling RNA is of utmost interest, particularly in living cells, and thus RNA imaging is an emerging field. There are numerous methods relying on different concepts ranging from hybridization-based probes, over RNA-binding proteins to chemo-enzymatic modification of RNA. These methods have different benefits and limitations. This review aims to outline the current state-of-the-art techniques and point out their benefits and limitations.
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.