ArticleNature communications2020
High-throughput interrogation of programmed ribosomal frameshifting in human cells.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 34 citations in OpenAlex.
- Promoter identity shapes splicing outcomes and fidelity.Nature communications · 2026Article
- Protein-inducible ribosomal frameshifting enables programmable translational control for genetic circuit design in Escherichia coli.Journal of biological engineering · 2026Article
- Translation dysregulation in cancer as a source for targetable antigens.Cancer cell · 2025Article
- Guidelines for minimal reporting requirements, design and interpretation of experiments involving the use of eukaryotic dual gene expression reporters (MINDR).Nature structural & molecular biology · 2025Review
- Biological Significance and Therapeutic Promise of Programmed Ribosomal Frameshifting.International journal of molecular sciences · 2025Review
- A universal pipeline MosaicProt enables large-scale modeling and detection of chimeric protein sequences for studies on programmed ribosomal frameshifting.Computational and structural biotechnology journal · 2025Article
- CD4+ T cell recognition of HIV-1 alternate reading frame proteins.Frontiers in immunology · 2025Article
- Review
- Massively parallel dissection of RNA in RNA-protein interactions in vivo.Nucleic acids research · 2024Article
- PRFect: a tool to predict programmed ribosomal frameshifts in prokaryotic and viral genomes.BMC bioinformatics · 2024Article
- Can the Revolution in mRNA-Based Vaccine Technologies Solve the Intractable Health Issues of Current Ruminant Production Systems?Vaccines · 2024Review
- Programmable modulation of ribosomal frameshifting by mRNA targeting CRISPR-Cas12a system.iScience · 2023Article
- Structural and Functional Insights into Viral Programmed Ribosomal Frameshifting.Annual review of virology · 2023Review
- Evolution of coronavirus frameshifting elements: Competing stem networks explain conservation and variability.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons.Nucleic acids research · 2022Article
- The complexity landscape of viral genomes.GigaScience · 2022Article
- Article
- Biomotors, viral assembly, and RNA nanobiotechnology: Current achievements and future directions.Computational and structural biotechnology journal · 2022Review
- Coordination of -1 programmed ribosomal frameshifting by transcript and nascent chain features revealed by deep mutational scanning.Nucleic acids research · 2021Article
- Dynamic changes in tRNA modifications and abundance during T cell activation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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
Programmed ribosomal frameshifting (PRF) is the controlled slippage of the translating ribosome to an alternative frame. This process is widely employed by human viruses such as HIV and SARS coronavirus and is critical for their replication. Here, we developed a high-throughput approach to assess the frameshifting potential of a sequence. We designed and tested >12,000 sequences based on 15 viral and human PRF events, allowing us to systematically dissect the rules governing ribosomal frameshifting and discover novel regulatory inputs based on amino acid properties and tRNA availability. We assessed the natural variation in HIV gag-pol frameshifting rates by testing >500 clinical isolates and identified subtype-specific differences and associations between viral load in patients and the optimality of PRF rates. We devised computational models that accurately predict frameshifting potential and frameshifting rates, including subtle differences between HIV isolates. This approach can contribute to the development of antiviral agents targeting PRF.
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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.