Evidence map›Paper›PMID 24755092›Full record

ArticleBMC genomics2014

Cotranslational protein-RNA associations predict protein-protein interactions.

Caia D S Duncan, Juan Mata

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. A privileged ER compartment for posttranslational heteromeric assembly of an ion channel.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Pairwise biosynthesis of ion channels stabilizes excitability and mitigates arrhythmias.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
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  7. Cotranslational association of mRNA encoding subunits of heteromeric ion channels.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Caia D S Duncan
Juan MataDepartment of Biochemistry, University of Cambridge, Cambridge, UK. jm593@cam.ac.uk.
University of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G011869/1Biotechnology and Biological Sciences Research Council BB/J007153/1
6 · The paper itself

Abstract

backgroundMost cellular proteins function as part of stable protein complexes. We recently showed that around 38% of proteins associate with mRNAs that encode interacting proteins, reflecting the cotranslational formation of the complex between the bait protein and the nascent peptides encoded by the interacting mRNAs. Here we hypothesise that these cotranslational protein-mRNA associations can be used to predict protein-protein interactions.

resultsWe found that the fission yeast Exo2 protein, which encodes an exonuclease of the XRN1 family, coimmunoprecipitates with the eti1 mRNA, which codes for a protein of unknown function and uninformative sequence. Based on this protein-mRNA association, we predicted that the Exo2 and Eti1 protein are part of the same complex, and confirmed this hypothesis by coimmunoprecipitation and colocalization of the proteins. Similarly, we show that the cotranslational interaction between the Sty1 MAP kinase and the cip2 mRNA, which encodes an RNA-binding protein, predicts a complex between Sty1 and Cip2.

conclusionsOur results demonstrate that cotranslational protein-mRNA associations can be used to identify new components of protein complexes.

Indexed as

RNARNA-Binding ProteinsRNARNA-Binding Proteins

Identifiers

PMID24755092
PMCPMC4234486
OpenAlexW1984451878

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.