ReviewRNA biology2017
The notorious R.N.A. in the spotlight - drug or target for the treatment of disease.
Review in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 28 citations in OpenAlex.
- BMP-7 mRNA delivered by Fibrin-CaP scaffolds activates osteogenic programs in vivo as evidenced by transcriptomic and proteomic analyses.Bioactive materials · 2026Article
- Engineering bone tissue with mRNA: from molecular design and delivery to clinical applications.Materials today (Kidlington, England) · 2025Article
- Cellular uptake of modified mRNA occurs via caveolae-mediated endocytosis, yielding high protein expression in slow-dividing cells.Molecular therapy. Nucleic acids · 2023Article
- Site-directed RNA editing: recent advances and open challenges.RNA biology · 2021Review
- Review
- Thioguanosine Conversion Enables mRNA-Lifetime Evaluation by RNA Sequencing Using Double Metabolic Labeling (TUC-seq DUAL).Angewandte Chemie (International ed. in English) · 2020Article
- 2'-O-methoxyethyl splice-switching oligos correct splicing from IVS2-745 β-thalassemia patient cells restoring HbA production and chain rebalance.Haematologica · 2019Article
- Review
- Article
- Optochemical Control of Biological Processes in Cells and Animals.Angewandte Chemie (International ed. in English) · 2018Review
- Using Genome Sequence to Enable the Design of Medicines and Chemical Probes.Chemical reviews · 2018Review
- Alternative mRNA Splicing in the Pathogenesis of Obesity.International journal of molecular sciences · 2018Review
- RNA in Disease and development.RNA biology · 2017Article
- Understanding RNA modifications: the promises and technological bottlenecks of the 'epitranscriptome'.Open biology · 2017Review
- Harnessing human ADAR2 for RNA repair - Recoding a PINK1 mutation rescues mitophagy.Nucleic acids research · 2017Article
- Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
mRNA is an attractive drug target for therapeutic interventions. In this review we highlight the current state, clinical trials, and developments in antisense therapy, including the classical approaches like RNaseH-dependent oligomers, splice-switching oligomers, aptamers, and therapeutic RNA interference. Furthermore, we provide an overview on emerging concepts for using RNA in therapeutic settings including protein replacement by in-vitro-transcribed mRNAs, mRNA as vaccines and anti-allergic drugs. Finally, we give a brief outlook on early-stage RNA repair approaches that apply endogenous or engineered proteins in combination with short RNAs or chemically stabilized oligomers for the re-programming of point mutations, RNA modifications, and frame shift mutations directly on the endogenous mRNA.
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.