ArticleRNA (New York, N.Y.)2012
Rationalization and prediction of selective decoding of pseudouridine-modified nonsense and sense codons.
Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- RNA modifications in health and disease: from mechanistic insights to therapeutic applications.Precision clinical medicine · 2025Review
- Membrane-dependent relief of translation elongation arrest on pseudouridine- and N1-methyl-pseudouridine-modified mRNAs.Nucleic acids research · 2022Article
- Pseudouridinylation of mRNA coding sequences alters translation.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Article
- Pseudouridines have context-dependent mutation and stop rates in high-throughput sequencing.RNA biology · 2018Article
- Review
- Eukaryotic stand-alone pseudouridine synthases - RNA modifying enzymes and emerging regulators of gene expression?RNA biology · 2017Review
- Review
- Translating the epitranscriptome.Wiley interdisciplinary reviews. RNA · 2017Review
- mRNA modifications: Dynamic regulators of gene expression?RNA biology · 2016Review
- Structural Basis for Translation Termination on a Pseudouridylated Stop Codon.Journal of molecular biology · 2016Article
- Nucleotide modifications within bacterial messenger RNAs regulate their translation and are able to rewire the genetic code.Nucleic acids research · 2016Article
- Transcriptome-wide dynamics of RNA pseudouridylation.Nature reviews. Molecular cell biology · 2015Review
- Pseudouridine: still mysterious, but never a fake (uridine)!RNA biology · 2014Review
- N6-methyl-adenosine modification in messenger and long non-coding RNA.Trends in biochemical sciences · 2013Review
- RNA pseudouridylation: new insights into an old modification.Trends in biochemical sciences · 2013Review
- Adaptive translation as a mechanism of stress response and adaptation.Annual review of genetics · 2013Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
A stop or nonsense codon is an in-frame triplet within a messenger RNA that signals the termination of translation. One common feature shared among all three nonsense codons (UAA, UAG, and UGA) is a uridine present at the first codon position. It has been recently shown that the conversion of this uridine into pseudouridine (Ψ) suppresses translation termination, both in vitro and in vivo. Furthermore, decoding of the pseudouridylated nonsense codons is accompanied by the incorporation of two specific amino acids in a nonsense codon-dependent fashion. Ψ differs from uridine by a single N¹H group at the C5 position; how Ψ suppresses termination and, more importantly, enables selective decoding is poorly understood. Here, we provide molecular rationales for how pseudouridylated stop codons are selectively decoded. Our analysis applies crystal structures of ribosomes in varying states of translation to consider weakened interaction of Ψ with release factor; thermodynamic and geometric considerations of the codon-anticodon base pairs to rank and to eliminate mRNA-tRNA pairs; the mechanism of fidelity check of the codon-anticodon pairing by the ribosome to evaluate noncanonical codon-anticodon base pairs and the role of water. We also consider certain tRNA modifications that interfere with the Ψ-coordinated water in the major groove of the codon-anticodon mini-helix. Our analysis of nonsense codons enables prediction of potential decoding properties for Ψ-modified sense codons, such as decoding ΨUU potentially as Cys and Tyr. Our results provide molecular rationale for the remarkable dynamics of ribosome decoding and insights on possible reprogramming of the genetic code using mRNA modifications.
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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.