Evidence map›Paper›PMID 25233276›Full record

ArticleeLife2014

Long non-coding RNAs as a source of new peptides.

Jorge Ruiz-Orera, Xavier Messeguer, Juan Antonio Subirana, M Mar Alba

Abstract read
In one paragraph

Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.

0numbers the graph read from it
0cells of the map it votes in
313citing papers in PubMed
–field-weighted citation impact
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

313 citing papers in PubMed.

  1. A B1 SINE element within the mouseScience advances · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. eLife · 2026
    Article
  8. Article
  9. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

253 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

4 authors.

Jorge Ruiz-OreraEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute, Universitat Pompeu Fabra, Barcelona, Spain.
Xavier MesseguerLlenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain.
Juan Antonio SubiranaEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute, Universitat Pompeu Fabra, Barcelona, Spain.
M Mar AlbaEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute, Universitat Pompeu Fabra, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep transcriptome sequencing has revealed the existence of many transcripts that lack long or conserved open reading frames (ORFs) and which have been termed long non-coding RNAs (lncRNAs). The vast majority of lncRNAs are lineage-specific and do not yet have a known function. In this study, we test the hypothesis that they may act as a repository for the synthesis of new peptides. We find that a large fraction of the lncRNAs expressed in cells from six different species is associated with ribosomes. The patterns of ribosome protection are consistent with the translation of short peptides. lncRNAs show similar coding potential and sequence constraints than evolutionary young protein coding sequences, indicating that they play an important role in de novo protein evolution.

Indexed as

Protein BiosynthesisAnimalsArabidopsisDrosophila melanogasterEvolution, MolecularGene Expression ProfilingHumansMiceOpen Reading FramesPeptidesProteomicsRibosomesRNA, Long NoncodingSaccharomyces cerevisiaeSelection, GeneticSequence Analysis, RNAPeptidesRNA, Long Noncodingde novo gene evolutioneukaryoteevolutionary biologygenomicshumanlncRNAribosome profiling

Identifiers

PMID25233276
PMCPMC4359382

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.