ReviewFEBS letters2014
Mistranslation of the genetic code.
Review in FEBS letters, 2014. 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
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
25 citing papers in PubMed.
- The Potential of Nanopore Technologies in Peptide and Protein Sensing for Biomarker Detection.Biosensors · 2025Review
- Cracking the Code: Reprogramming the Genetic Script in Prokaryotes and Eukaryotes to Harness the Power of Noncanonical Amino Acids.Chemical reviews · 2024Review
- The tRNA identity landscape for aminoacylation and beyond.Nucleic acids research · 2023Review
- Article
- Translational control in aging and neurodegeneration.Wiley interdisciplinary reviews. RNA · 2021Review
- Mitochondrial mistranslation modulated by metabolic stress causes cardiovascular disease and reduced lifespan.Aging cell · 2021Article
- Chemical-Genetic Interactions with the Proline Analog L-Azetidine-2-Carboxylic Acid inG3 (Bethesda, Md.) · 2020Article
- Global mistranslation increases cell survival under stress in Escherichia coli.PLoS genetics · 2020Article
- The Phytotoxicity ofFrontiers in plant science · 2020Article
- Modulating Mistranslation Potential of tRNAGenetics · 2019Article
- Pathways to disease from natural variations in human cytoplasmic tRNAs.The Journal of biological chemistry · 2019Review
- Acetate-dependent tRNA acetylation required for decoding fidelity in protein synthesis.Nature chemical biology · 2018Article
- mRNA Translation Gone Awry: Translation Fidelity and Neurological Disease.Trends in genetics : TIG · 2018Review
- A chiral selectivity relaxed paralog of DTD for proofreading tRNA mischarging in Animalia.Nature communications · 2018Article
- Codon misreading tRNAs promote tumor growth in mice.RNA biology · 2018Article
- Visualizing tRNA-dependent mistranslation in human cells.RNA biology · 2018Article
- MS-READ: Quantitative measurement of amino acid incorporation.Biochimica et biophysica acta. General subjects · 2017Article
- Article
- Editing of misaminoacylated tRNA controls the sensitivity of amino acid stress responses in Saccharomyces cerevisiae.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.
Funding
Abstract
During mRNA decoding at the ribosome, deviations from stringent codon identity, or "mistranslation," are generally deleterious and infrequent. Observations of organisms that decode some codons ambiguously, and the discovery of a compensatory increase in mistranslation frequency to combat environmental stress have changed the way we view "errors" in decoding. Modern tools for the study of the frequency and phenotypic effects of mistranslation can provide quantitative and sensitive measurements of decoding errors that were previously inaccessible. Mistranslation with non-protein amino acids, in particular, is an enticing prospect for new drug therapies and the study of molecular evolution.
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.