Evidence map›Paper›PMID 27642845›Full record

ArticleeLife2016

Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea.

Sinan Uğur Umu, Anthony M Poole, Renwick Cj Dobson, Paul P Gardner

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Maintaining transcriptome solubility constrains mRNA sequence composition.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Manifold Routes to a Nucleus.Frontiers in microbiology · 2018
    Article
  18. Article
  19. RNA search engines empower the bacterial intranet.Biochemical Society transactions · 2017
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sinan Uğur UmuSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0001-8081-7819
Anthony M PooleSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Renwick Cj DobsonSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Paul P GardnerSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-7808-1213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical assumption of gene expression analysis is that mRNA abundances broadly correlate with protein abundance, but these two are often imperfectly correlated. Some of the discrepancy can be accounted for by two important mRNA features: codon usage and mRNA secondary structure. We present a new global factor, called mRNA:ncRNA avoidance, and provide evidence that avoidance increases translational efficiency. We also demonstrate a strong selection for the avoidance of stochastic mRNA:ncRNA interactions across prokaryotes, and that these have a greater impact on protein abundance than mRNA structure or codon usage. By generating synonymously variant green fluorescent protein (GFP) mRNAs with different potential for mRNA:ncRNA interactions, we demonstrate that GFP levels correlate well with interaction avoidance. Therefore, taking stochastic mRNA:ncRNA interactions into account enables precise modulation of protein abundance.

Indexed as

Protein BiosynthesisArchaeaBacteriaGenes, ReporterGreen Fluorescent ProteinsRNA, MessengerRNA, UntranslatedGreen Fluorescent ProteinsRNA, MessengerRNA, UntranslatedArchaeabacteriabioinformaticscomputational biologyE. colievolutionary biologygene expressiongenomicsncRNAsystems biology

Identifiers

PMID27642845
PMCPMC5028192

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.