Evidence map›Paper›PMID 25013167›Full record

ArticleNucleic acids research2014

Evidence of efficient stop codon readthrough in four mammalian genes.

Gary Loughran, Ming-Yuan Chou, Ivaylo P Ivanov, Irwin Jungreis, Manolis Kellis, Anmol M Kiran, Pavel V Baranov, John F Atkins

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 245 citations in OpenAlex.

  1. Article
  2. RNAViruses · 2026
    Review
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  4. Regulatory landscape of widespread stop codon readthrough inbioRxiv : the preprint server for biology · 2026
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  8. A Translational Roadmap for Neurological Nonsense Mutation Disorders.International journal of molecular sciences · 2026
    Review
  9. 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 · 2026
    Article
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  15. Response to Suresh et al.The EMBO journal · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. The RNA Revolution in the Central Molecular Biology Dogma Evolution.International journal of molecular sciences · 2024
    Review
  20. Article

82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Gary LoughranSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland g.loughran@ucc.ie.
Ming-Yuan ChouSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Ivaylo P IvanovSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Irwin JungreisCSAIL, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
Manolis KellisCSAIL, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
Anmol M KiranSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Pavel V BaranovSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
John F AtkinsSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland Department of Human Genetics, University of Utah, Salt Lake City, UT 84112-5330, USA g.loughran@ucc.ie.
University College Cork · IEMassachusetts Institute of Technology · USUniversity of Utah · US

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Regulatory Morif Discovery in the Human Genome Using Comparative GenomicsR01HG004037 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2007 to 2015
$3.9M
NHGRI NIH HHS 1-R01-HG004037-07NHGRI NIH HHS R01 HG004037NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U41-HG007234Wellcome Trust 094423
6 · The paper itself

Abstract

Stop codon readthrough is used extensively by viruses to expand their gene expression. Until recent discoveries in Drosophila, only a very limited number of readthrough cases in chromosomal genes had been reported. Analysis of conserved protein coding signatures that extend beyond annotated stop codons identified potential stop codon readthrough of four mammalian genes. Here we use a modified targeted bioinformatic approach to identify a further three mammalian readthrough candidates. All seven genes were tested experimentally using reporter constructs transfected into HEK-293T cells. Four displayed efficient stop codon readthrough, and these have UGA immediately followed by CUAG. Comparative genomic analysis revealed that in the four readthrough candidates containing UGA-CUAG, this motif is conserved not only in mammals but throughout vertebrates with the first six of the seven nucleotides being universally conserved. The importance of the CUAG motif was confirmed using a systematic mutagenesis approach. One gene, OPRL1, encoding an opiate receptor, displayed extremely efficient levels of readthrough (∼31%) in HEK-293T cells. Signals both 5' and 3' of the OPRL1 stop codon contribute to this high level of readthrough. The sequence UGA-CUA alone can support 1.5% readthrough, underlying its importance.

Indexed as

Codon, TerminatorProtein BiosynthesisAminoglycosidesAnimalsAnti-Bacterial AgentsAquaporin 4Conserved SequenceHEK293 CellsHumansMitogen-Activated Protein Kinase 10Nociceptin ReceptorNucleotide MotifsPhylogenyReceptors, OpioidReceptors, Opioid, kappaAminoglycosidesAnti-Bacterial AgentsAQP4 protein, humanAquaporin 4Codon, TerminatorMitogen-Activated Protein Kinase 10Nociceptin ReceptorOPRK1 protein, humanOPRL1 protein, humanReceptors, OpioidReceptors, Opioid, kappa

Identifiers

PMID25013167
PMCPMC4132726
OpenAlexW2102178107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.