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Retrotransposons shape species-specific embryonic stem cell gene expression

Overview of attention for article published in Retrovirology, May 2015
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 blog
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1 Facebook page
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1 Google+ user

Citations

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74 Dimensions

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187 Mendeley
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Title
Retrotransposons shape species-specific embryonic stem cell gene expression
Published in
Retrovirology, May 2015
DOI 10.1186/s12977-015-0173-5
Pubmed ID
Authors

Luisa Robbez-Masson, Helen M Rowe

Abstract

Over half of our genome is composed of retrotransposons, which are mobile elements that can readily amplify their copy number by replicating through an RNA intermediate. Most of these elements are no longer mobile but still contain regulatory sequences that can serve as promoters, enhancers or repressors for cellular genes. Despite dominating our genetic content, little is known about the precise functions of retrotransposons, which include both endogenous retroviruses (ERVs) and non-LTR elements like long interspersed nuclear element 1 (LINE-1). However, a few recent cutting-edge publications have illustrated how retrotransposons shape species-specific stem cell gene expression by two opposing mechanisms, involving their recruitment of stem cell-enriched transcription factors (TFs): firstly, they can activate expression of genes linked to naïve pluripotency, and secondly, they can induce repression of proximal genes. The paradox that different retrotransposons are active or silent in embryonic stem cells (ESCs) can be explained by differences between retrotransposon families, between individual copies within the same family, and between subpopulations of ESCs. Since they have coevolved with their host genomes, some of them have been co-opted to perform species-specific beneficial functions, while others have been implicated in genetic disease. In this review, we will discuss retrotransposon functions in ESCs, focusing on recent mechanistic advances of how HERV-H has been adopted to preserve human naïve pluripotency and how particular LINE-1, SVA and ERV family members recruit species-specific transcriptional repressors. This review highlights the fine balance between activation and repression of retrotransposons that exists to harness their ability to drive evolution, while minimizing the risk they pose to genome integrity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
United Kingdom 2 1%
United States 1 <1%
Netherlands 1 <1%
Unknown 181 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 22%
Student > Ph. D. Student 40 21%
Student > Master 25 13%
Student > Doctoral Student 12 6%
Student > Bachelor 11 6%
Other 33 18%
Unknown 24 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 45%
Biochemistry, Genetics and Molecular Biology 60 32%
Computer Science 3 2%
Immunology and Microbiology 2 1%
Medicine and Dentistry 2 1%
Other 6 3%
Unknown 30 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 11 August 2016.
All research outputs
#3,221,900
of 25,371,288 outputs
Outputs from Retrovirology
#130
of 1,274 outputs
Outputs of similar age
#39,595
of 279,476 outputs
Outputs of similar age from Retrovirology
#4
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 89% 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 279,476 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 85% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.