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The influence of microRNAs and poly(A) tail length on endogenous mRNA–protein complexes

Overview of attention for article published in Genome Biology, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 blog
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13 X users
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1 Google+ user

Citations

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47 Dimensions

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132 Mendeley
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Title
The influence of microRNAs and poly(A) tail length on endogenous mRNA–protein complexes
Published in
Genome Biology, October 2017
DOI 10.1186/s13059-017-1330-z
Pubmed ID
Authors

Olivia S. Rissland, Alexander O. Subtelny, Miranda Wang, Andrew Lugowski, Beth Nicholson, John D. Laver, Sachdev S. Sidhu, Craig A. Smibert, Howard D. Lipshitz, David P. Bartel

Abstract

All mRNAs are bound in vivo by proteins to form mRNA-protein complexes (mRNPs), but changes in the composition of mRNPs during posttranscriptional regulation remain largely unexplored. Here, we have analyzed, on a transcriptome-wide scale, how microRNA-mediated repression modulates the associations of the core mRNP components eIF4E, eIF4G, and PABP and of the decay factor DDX6 in human cells. Despite the transient nature of repressed intermediates, we detect significant changes in mRNP composition, marked by dissociation of eIF4G and PABP, and by recruitment of DDX6. Furthermore, although poly(A)-tail length has been considered critical in post-transcriptional regulation, differences in steady-state tail length explain little of the variation in either PABP association or mRNP organization more generally. Instead, relative occupancy of core components correlates best with gene expression. These results indicate that posttranscriptional regulatory factors, such as microRNAs, influence the associations of PABP and other core factors, and do so without substantially affecting steady-state tail length.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 25 19%
Student > Master 15 11%
Student > Bachelor 11 8%
Student > Doctoral Student 10 8%
Other 14 11%
Unknown 22 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 45%
Agricultural and Biological Sciences 35 27%
Neuroscience 4 3%
Chemistry 3 2%
Computer Science 1 <1%
Other 6 5%
Unknown 24 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 June 2018.
All research outputs
#2,311,774
of 25,394,764 outputs
Outputs from Genome Biology
#1,905
of 4,470 outputs
Outputs of similar age
#44,770
of 340,356 outputs
Outputs of similar age from Genome Biology
#38
of 56 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 340,356 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 86% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.