Evidence map›Paper›PMID 26764022›Full record

ArticleBMC genomics2016

Pateamine A-sensitive ribosome profiling reveals the scope of translation in mouse embryonic stem cells.

Alexandra Popa, Kevin Lebrigand, Pascal Barbry, Rainer Waldmann

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Advances in ribosome profiling technologies.Biochemical Society transactions · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Micropeptides translated from putative long non-coding RNAs.Acta biochimica et biophysica Sinica · 2022
    Review
  9. Translational control of stem cell function.Nature reviews. Molecular cell biology · 2021
    Review
  10. Article
  11. When Long Noncoding Becomes Protein Coding.Molecular and cellular biology · 2020
    Review
  12. The computational approaches of lncRNA identification based on coding potential:Computational and structural biotechnology journal · 2020
    Review
  13. Review
  14. Ribosome Profiling: Global Views of Translation.Cold Spring Harbor perspectives in biology · 2019
    Review
  15. Altered translation initiation ofMolecular biology of the cell · 2018
    Article
  16. Article
  17. The Growing Toolbox for Protein Synthesis Studies.Trends in biochemical sciences · 2017
    Review
  18. Review
  19. Bioinformatics and Drug Discovery.Current topics in medicinal chemistry · 2017
    Review
  20. Article
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 at 2 institutions in 1 country.

Alexandra PopaInstitut de Pharmacologie Moléculaire et Cellulaire (IPMC), University Nice Sophia Antipolis, CNRS, F06560, Sophia-Antipolis, France.
Kevin LebrigandInstitut de Pharmacologie Moléculaire et Cellulaire (IPMC), University Nice Sophia Antipolis, CNRS, F06560, Sophia-Antipolis, France.
Pascal BarbryInstitut de Pharmacologie Moléculaire et Cellulaire (IPMC), University Nice Sophia Antipolis, CNRS, F06560, Sophia-Antipolis, France. barbry@ipmc.cnrs.fr.
Rainer WaldmannInstitut de Pharmacologie Moléculaire et Cellulaire (IPMC), University Nice Sophia Antipolis, CNRS, F06560, Sophia-Antipolis, France.
Institut de Pharmacologie Moléculaire et Cellulaire · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpen reading frames are common in long noncoding RNAs (lncRNAs) and 5'UTRs of protein coding transcripts (uORFs). The question of whether those ORFs are translated was recently addressed by several groups using ribosome profiling. Most of those studies concluded that certain lncRNAs and uORFs are translated, essentially based on computational analysis of ribosome footprints. However, major discrepancies remain on the scope of translation and the translational status of individual ORFs. In consequence, further criteria are required to reliably identify translated ORFs from ribosome profiling data.

resultsWe examined the effect of the translation inhibitors pateamine A, harringtonine and puromycin on murine ES cell ribosome footprints. We found that pateamine A, a drug that targets eIF4A, allows a far more accurate identification of translated sequences than previously used drugs and computational scoring schemes. Our data show that at least one third but less than two thirds of ES cell lncRNAs are translated. We also identified translated uORFs in hundreds of annotated coding transcripts including key pluripotency transcripts, such as dicer, lin28, trim71, and ctcf.

conclusionPateamine A inhibition data clearly increase the precision of the detection of translated ORFs in ribosome profiling experiments. Our data show that translation of lncRNAs and uORFs in murine ES cells is rather common although less pervasive than previously suggested. The observation of translated uORFs in several key pluripotency transcripts suggests that translational regulation by uORFs might be part of the network that defines mammalian stem cell identity.

Indexed as

Mouse Embryonic Stem CellsProtein Biosynthesis5' Untranslated RegionsAnimalsEpoxy CompoundsGene Expression RegulationMacrolidesMiceOpen Reading FramesRibosomesRNA, Long NoncodingThiazoles5' Untranslated RegionsEpoxy CompoundsMacrolidespateamine ARNA, Long NoncodingThiazoles

Identifiers

PMID26764022
PMCPMC4712605
OpenAlexW2236691407

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.