ArticleNature communications2024
Extended stop codon context predicts nonsense codon readthrough efficiency in human cells.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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
29 citing papers in PubMed, 32 citations in OpenAlex.
- The mRNA architecture of the translation termination site primes programmed stop codon readthrough events inRNA biology · 2026Article
- Distinct responses ofMolecular therapy. Nucleic acids · 2026Article
- RNAViruses · 2026Review
- predNMD: prediction of nonsense-mediated mRNA decay for improved clinical variant pathogenicity classification.bioRxiv : the preprint server for biology · 2026Article
- RiboScreenBiomedicines · 2026Review
- Identification of small molecules that enhance aminoglycoside-mediated suppression ofMolecular therapy. Oncology · 2026Article
- Glutamine codon-driven translational readthrough reveals context-dependent stop codon decoding fidelity.bioRxiv : the preprint server for biology · 2026Article
- Translational control of Toxoplasma gondii differentiation.Bioscience reports · 2026Review
- Article
- Comparative evaluation of TRIDs : a strategy to improve treatments.Journal of translational medicine · 2026Article
- A Translational Roadmap for Neurological Nonsense Mutation Disorders.International journal of molecular sciences · 2026Review
- An engineered UGA suppressor tRNA gene for disease-agnostic AAV delivery.Nature biotechnology · 2026Article
- A predictive framework for stop-loss variants with C-terminal extensions.Nucleic acids research · 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
- Ribosomal read through as an alternative therapy for patients with hemophilia with nonsense mutations.Journal of thrombosis and haemostasis : JTH · 2026Article
- Translational readthrough therapy for ADPKD induces polycystin1 expression and partially rescues functional deficits in PKD1 mutant cells.Scientific reports · 2025Article
- ACE-tRNAs are a platform technology for suppressing nonsense mutations that cause cystic fibrosis.Nucleic acids research · 2025Article
- Article
- Defining the high-translational readthrough stop codon context.PLoS genetics · 2025Article
- Therapeutic Potential of Translational Readthrough at Disease-Associated Premature Termination Codons From Tumor Suppressor Genes.IUBMB life · 2025Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Protein synthesis terminates when a stop codon enters the ribosome's A-site. Although termination is efficient, stop codon readthrough can occur when a near-cognate tRNA outcompetes release factors during decoding. Seeking to understand readthrough regulation we used a machine learning approach to analyze readthrough efficiency data from published HEK293T ribosome profiling experiments and compared it to comparable yeast experiments. We obtained evidence for the conservation of identities of the stop codon, its context, and 3'-UTR length (when termination is compromised), but not the P-site codon, suggesting a P-site tRNA role in readthrough regulation. Models trained on data from cells treated with the readthrough-promoting drug, G418, accurately predicted readthrough of premature termination codons arising from CFTR nonsense alleles that cause cystic fibrosis. This predictive ability has the potential to aid development of nonsense suppression therapies by predicting a patient's likelihood of improvement in response to drugs given their nonsense mutation sequence context.
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What Socratic 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 Socratic graph.