Evidence map›Paper›PMID 26935582›Full record

ArticleNucleic acids research2016

Quantitative assessment of ribosome drop-off in E. coli.

Celine Sin, Davide Chiarugi, Angelo Valleriani

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Development of a TK6-derived cell line expressing four human cytochrome P450s for genotoxicity testing.Toxicology in vitro : an international journal published in association with BIBRA · 2025
    Article
  5. Article
  6. Article
  7. Applications of cell free protein synthesis in protein design.Protein science : a publication of the Protein Society · 2024
    Review
  8. Article
  9. A data-driven estimation of the ribosome drop-off rate inNAR genomics and bioinformatics · 2024
    Article
  10. tRNA epitranscriptome determines pathogenicity of the opportunistic pathogenProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
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  14. Article
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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

3 authors.

Celine SinDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Science Park Golm, 14476 Potsdam, Germany.
Davide ChiarugiDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Science Park Golm, 14476 Potsdam, Germany.
Angelo VallerianiDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, Science Park Golm, 14476 Potsdam, Germany angelo.valleriani@mpikg.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature ribosome drop-off is one of the major errors in translation of mRNA by ribosomes. However, repeated analyses of Ribo-seq data failed to quantify its strength inE. coli Relying on a novel highly sensitive data analysis method we show that a significant rate of ribosome drop-off is measurable and can be quantified also when cells are cultured under non-stressing conditions. Moreover, we find that the drop-off rate is highly variable, depending on multiple factors. In particular, under environmental stress such as amino acid starvation or ethanol intoxication, the drop-off rate markedly increases.

Indexed as

Models, StatisticalProtein BiosynthesisAmino AcidsCodon, NonsenseEscherichia coliEthanolRibosomesStress, PhysiologicalAmino AcidsCodon, NonsenseEthanol

Identifiers

PMID26935582
PMCPMC4824120

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Registered trials

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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.