ArticleNature genetics2024
Genome-scale quantification and prediction of pathogenic stop codon readthrough by small molecules.
Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed.
- Pharmacological readthrough and base editing forMolecular therapy. Nucleic acids · 2026Article
- Strain-specific epistasis shapes fitness landscapes of APOBEC3G antagonism by HIV-1 Vif proteins.Science advances · 2026Article
- Engineered tRNA reduces vision loss in a mouse model of Leber congenital amaurosis.Signal transduction and targeted therapy · 2026Article
- Article
- Rescuing TP53 from nonsense: novel triazoles for translational readthrough via optimized drug design.Scientific reports · 2026Article
- Comparative evaluation of TRIDs : a strategy to improve treatments.Journal of translational medicine · 2026Article
- NEDAMSS syndrome-related truncating and missense mutations are associated with aberrant liquid-liquid phase separation of IRF2BPL.Nature communications · 2026Article
- A Unique Chimeric RNA: ERCC1-iASPP Drives Benzo[a]pyrene-Induced Lung Carcinogenesis via Dual Coding and Non-Coding Mechanisms.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace.Genome biology · 2026Article
- Identity, functional consequences, and context effects of amino acids inserted during suppression of CFTR nonsense mutations.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2026Article
- Genomic stop codon scanning reveals quantitative principles of nonsense-mediated mRNA decay.bioRxiv : the preprint server for biology · 2025Article
- Exploring the role of readthrough-inducing molecule 2,6-diaminopurine to increase immune response against cancer cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Direct RNA sequencing enables improved transcriptome assessment and tracking of RNA modifications for medical applications.Nucleic acids research · 2025Article
- Nonsense-mediated mRNA decay: a key regulatory system engaged in cancer.Cell communication and signaling : CCS · 2025Review
- Fitness Landscapes of APOBEC3G Antagonism by HIV-1 Vif proteins.bioRxiv : the preprint server for biology · 2025Article
- Dam-dependent epigenetic memory regulates prophage reintegration in Salmonella.Nucleic acids research · 2025Article
- Review
- Systematic analysis of nonsense variants uncovers peptide release rate as a novel modifier of nonsense-mediated mRNA decay.Cell genomics · 2025Article
- ACE-tRNAs are a platform technology for suppressing nonsense mutations that cause cystic fibrosis.Nucleic acids research · 2025Article
- Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Premature termination codons (PTCs) cause ~10-20% of inherited diseases and are a major mechanism of tumor suppressor gene inactivation in cancer. A general strategy to alleviate the effects of PTCs would be to promote translational readthrough. Nonsense suppression by small molecules has proven effective in diverse disease models, but translation into the clinic is hampered by ineffective readthrough of many PTCs. Here we directly tackle the challenge of defining drug efficacy by quantifying the readthrough of ~5,800 human pathogenic stop codons by eight drugs. We find that different drugs promote the readthrough of complementary subsets of PTCs defined by local sequence context. This allows us to build interpretable models that accurately predict drug-induced readthrough genome-wide, and we validate these models by quantifying endogenous stop codon readthrough. Accurate readthrough quantification and prediction will empower clinical trial design and the development of personalized nonsense suppression therapies.
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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.