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Deep sequencing and de novo assembly of the mouse oocyte transcriptome define the contribution of transcription to the DNA methylation landscape

Overview of attention for article published in Genome Biology, September 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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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26 X users
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1 Google+ user

Citations

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Readers on

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210 Mendeley
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2 CiteULike
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Title
Deep sequencing and de novo assembly of the mouse oocyte transcriptome define the contribution of transcription to the DNA methylation landscape
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0769-z
Pubmed ID
Authors

Lenka Veselovska, Sebastien A. Smallwood, Heba Saadeh, Kathleen R. Stewart, Felix Krueger, Stéphanie Maupetit-Méhouas, Philippe Arnaud, Shin-ichi Tomizawa, Simon Andrews, Gavin Kelsey

Abstract

Previously, a role was demonstrated for transcription in the acquisition of DNA methylation at imprinted control regions in oocytes. Definition of the oocyte DNA methylome by whole genome approaches revealed that the majority of methylated CpG islands are intragenic and gene bodies are hypermethylated. Yet, the mechanisms by which transcription regulates DNA methylation in oocytes remain unclear. Here, we systematically test the link between transcription and the methylome. We perform deep RNA-Seq and de novo transcriptome assembly at different stages of mouse oogenesis. This reveals thousands of novel non-annotated genes, as well as alternative promoters, for approximately 10 % of reference genes expressed in oocytes. In addition, a large fraction of novel promoters coincide with MaLR and ERVK transposable elements. Integration with our transcriptome assembly reveals that transcription correlates accurately with DNA methylation and accounts for approximately 85-90 % of the methylome. We generate a mouse model in which transcription across the Zac1/Plagl1 locus is abrogated in oocytes, resulting in failure of DNA methylation establishment at all CpGs of this locus. ChIP analysis in oocytes reveals H3K4me2 enrichment at the Zac1 imprinted control region when transcription is ablated, establishing a connection between transcription and chromatin remodeling at CpG islands by histone demethylases. By precisely defining the mouse oocyte transcriptome, this work not only highlights transcription as a cornerstone of DNA methylation establishment in female germ cells, but also provides an important resource for developmental biology research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Australia 1 <1%
Sweden 1 <1%
Japan 1 <1%
Croatia 1 <1%
Unknown 201 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 25%
Researcher 50 24%
Student > Master 24 11%
Student > Bachelor 12 6%
Student > Postgraduate 8 4%
Other 30 14%
Unknown 34 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 35%
Biochemistry, Genetics and Molecular Biology 72 34%
Medicine and Dentistry 10 5%
Computer Science 5 2%
Neuroscience 5 2%
Other 11 5%
Unknown 34 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 20 February 2019.
All research outputs
#2,428,495
of 25,374,647 outputs
Outputs from Genome Biology
#1,968
of 4,467 outputs
Outputs of similar age
#32,463
of 286,225 outputs
Outputs of similar age from Genome Biology
#40
of 84 outputs
Altmetric has tracked 25,374,647 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 4,467 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 55% 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 286,225 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 88% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.