Evidence map›Paper›PMID 20185543›Full record

ReviewRNA (New York, N.Y.)2010

Autoregulatory systems controlling translation factor expression: thermostat-like control of translational accuracy.

Russell Betney, Eric de Silva, Jawahar Krishnan, Ian Stansfield

Open access · bronzeAbstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Auto-regulatory feedback by RNA-binding proteins.Journal of molecular cell biology · 2019
    Review
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  7. Article
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  16. Article
  17. Initiation context modulates autoregulation of eukaryotic translation initiation factor 1 (eIF1).Proceedings of the National Academy of Sciences of the United States of America · 2010
    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.

Russell BetneySchool of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Aberdeen, AB25 2ZD, United Kingdom.
Eric de Silva
Jawahar Krishnan
Ian Stansfield
Imperial College London · GBUniversity of Aberdeen · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019084/1Biotechnology and Biological Sciences Research Council BB/G010722/1
6 · The paper itself

Abstract

In both prokaryotes and eukaryotes, the expression of a large number of genes is controlled by negative feedback, in some cases operating at the level of translation of the mRNA transcript. Of particular interest are those cases where the proteins concerned have cell-wide function in recognizing a particular codon or RNA sequence. Examples include the bacterial translation termination release factor RF2, initiation factor IF3, and eukaryote poly(A) binding protein. The regulatory loops that control their synthesis establish a negative feedback control mechanism based upon that protein's RNA sequence recognition function in translation (for example, stop codon recognition) without compromising the accurate recognition of that codon, or sequence during general, cell-wide translation. Here, the bacterial release factor RF2 and initiation factor IF3 negative feedback loops are reviewed and compared with similar negative feedback loops that regulate the levels of the eukaryote release factor, eRF1, established artificially by mutation. The control properties of such negative feedback loops are discussed as well as their evolution. The role of negative feedback to control translation factor expression is considered in the context of a growing body of evidence that both IF3 and RF2 can play a role in stimulating stalled ribosomes to abandon translation in response to amino acid starvation. Here, we make the case that negative feedback control serves primarily to limit the overexpression of these translation factors, preventing the loss of fitness resulting from an unregulated increase in the frequency of ribosome drop-off.

Indexed as

Protein BiosynthesisAnimalsHumansModels, BiologicalPeptide Chain Initiation, TranslationalPeptide Initiation FactorsPeptide Termination FactorsProkaryotic Initiation Factor-3RibosomesRNA, Messengerpeptide chain termination release factor 2Peptide Initiation FactorsPeptide Termination FactorsProkaryotic Initiation Factor-3RNA, Messenger

Identifiers

PMID20185543
PMCPMC2844614
OpenAlexW2118369117

What OpenQuestion holds

Textmetadata
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.