Evidence map›Paper›PMID 25294829›Full record

ArticleNucleic acids research2014

Quantitative effect of target translation on small RNA efficacy reveals a novel mode of interaction.

Anat Lavi-Itzkovitz, Neil Peterman, Daniel Jost, Erel Levine

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dynamics of translation can determine the spatial organization of membrane-bound proteins and their mRNA.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  5. Genetic variation in the 3'-untranslated region ofExperimental and therapeutic medicine · 2017
    Article
  6. Article
  7. 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.

Anat Lavi-ItzkovitzDepartment of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.
Neil PetermanDepartment of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.
Daniel JostDepartment of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.
Erel LevineDepartment of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA elevine@fas.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small regulatory RNAs (sRNAs) in bacteria regulate many important cellular activities under normal conditions and in response to stress. Many sRNAs bind to the mRNA targets at or near the 5' untranslated region (UTR) resulting in translation inhibition and accelerated degradation. Often the sRNA-binding site is adjacent to or overlapping with the ribosomal binding site (RBS), suggesting a possible interplay between sRNA and ribosome binding. Here we combine quantitative experiments with mathematical modeling to reveal novel features of the interaction between small RNAs and the translation machinery at the 5'UTR of a target mRNA. By measuring the response of a library of reporter targets with varied RBSs, we find that increasing translation rate can lead to increased repression. Quantitative analysis of these data suggests a recruitment model, where bound ribosomes facilitate binding of the sRNA. We experimentally verified predictions of this model for the cell-to-cell variability of target expression. Our findings offer a framework for understanding sRNA silencing in the context of bacterial physiology.

Indexed as

5' Untranslated RegionsGene SilencingProtein BiosynthesisBinding SitesModels, GeneticRibosomesRNA, Small Untranslated5' Untranslated RegionsRNA, Small Untranslated

Identifiers

PMID25294829
PMCPMC4231754

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.