ArticleRNA biology2018
RNA accessibility impacts potency of Tough Decoy microRNA inhibitors.
Article in RNA biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 14 citations in OpenAlex.
- Targeting cancer-associated fibroblasts: therapeutic strategies, translational challenges, and future perspectives.Journal of hematology & oncology · 2026Review
- Are RNA Therapies a Solid Foundation or a Frontier Yet to Be Conquered?International journal of molecular sciences · 2026Review
- Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers.Cell reports. Medicine · 2026Article
- CircRNA-based AntimiR therapy: A novel approach to hypertension treatment.Non-coding RNA research · 2025Review
- Sequestration of gene products by decoys enhances precision in the timing of intracellular events.Scientific reports · 2024Article
- miRNAs to the rescue: Reversing heart failure by targeting miR-29.Molecular therapy. Nucleic acids · 2024Article
- Let-7 underlies metformin-induced inhibition of hepatic glucose production.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Enhancement of gene expression noise from transcription factor binding to genomic decoy sites.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are small RNA molecules that post-transcriptionally regulate gene expression through silencing of complementary target mRNAs. miRNAs are involved in many biological processes, including cell proliferation, differentiation, cell signaling and cellular defense responses to infection. Strategies that allow for strong and stable suppression of specific microRNA activity are needed to study miRNA functions and to develop therapeutic intervention strategies aimed at interfering with miRNA activity in vivo. One of these classes of miRNA inhibitors are Tough Decoys (TuD) RNAs, which comprise of an imperfect RNA hairpin structure that harbors two opposing miRNA binding sites. Upon developing TuDs targeting Epstein-Barr virus miRNAs, we observed a strong variation in inhibitory potential between different TuD RNAs targeting the same miRNA. We show that the composition of the 'bulge' sequence in the miRNA binding sites has a strong impact on the inhibitory potency of the TuD. Our data implies that miRNA inhibition correlates with the thermodynamic properties of the TuD and that design aimed at lowering the TuD opening energy increases TuD potency. Our study provides specific guidelines for the design and construction of potent decoy-based miRNA inhibitors, which may be used for future therapeutic intervention strategies.
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.