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Dynamic changes in eIF4F-mRNA interactions revealed by global analyses of environmental stress responses

Overview of attention for article published in Genome Biology (Online Edition), October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
9 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
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Title
Dynamic changes in eIF4F-mRNA interactions revealed by global analyses of environmental stress responses
Published in
Genome Biology (Online Edition), October 2017
DOI 10.1186/s13059-017-1338-4
Pubmed ID
Authors

Joseph L. Costello, Christopher J. Kershaw, Lydia M. Castelli, David Talavera, William Rowe, Paul F. G. Sims, Mark P. Ashe, Christopher M. Grant, Simon J. Hubbard, Graham D. Pavitt

Abstract

Translation factors eIF4E and eIF4G form eIF4F, which interacts with the messenger RNA (mRNA) 5' cap to promote ribosome recruitment and translation initiation. Variations in the association of eIF4F with individual mRNAs likely contribute to differences in translation initiation frequencies between mRNAs. As translation initiation is globally reprogrammed by environmental stresses, we were interested in determining whether eIF4F interactions with individual mRNAs are reprogrammed and how this may contribute to global environmental stress responses. Using a tagged-factor protein capture and RNA-sequencing (RNA-seq) approach, we have assessed how mRNA associations with eIF4E, eIF4G1 and eIF4G2 change globally in response to three defined stresses that each cause a rapid attenuation of protein synthesis: oxidative stress induced by hydrogen peroxide and nutrient stresses caused by amino acid or glucose withdrawal. We find that acute stress leads to dynamic and unexpected changes in eIF4F-mRNA interactions that are shared among each factor and across the stresses imposed. eIF4F-mRNA interactions stabilised by stress are predominantly associated with translational repression, while more actively initiating mRNAs become relatively depleted for eIF4F. Simultaneously, other mRNAs are insulated from these stress-induced changes in eIF4F association. Dynamic eIF4F-mRNA interaction changes are part of a coordinated early translational control response shared across environmental stresses. Our data are compatible with a model where multiple mRNA closed-loop complexes form with differing stability. Hence, unexpectedly, in the absence of other stabilising factors, rapid translation initiation on mRNAs correlates with less stable eIF4F interactions.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 11 17%
Student > Bachelor 9 14%
Student > Master 7 11%
Other 4 6%
Other 7 11%
Unknown 14 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 43%
Agricultural and Biological Sciences 14 22%
Environmental Science 2 3%
Medicine and Dentistry 2 3%
Arts and Humanities 1 2%
Other 4 6%
Unknown 13 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2017.
All research outputs
#1,815,718
of 16,638,522 outputs
Outputs from Genome Biology (Online Edition)
#1,632
of 3,508 outputs
Outputs of similar age
#52,268
of 326,103 outputs
Outputs of similar age from Genome Biology (Online Edition)
#161
of 241 outputs
Altmetric has tracked 16,638,522 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.