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Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer

Overview of attention for article published in Genome Biology, January 2016
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog
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40 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

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180 Dimensions

Readers on

mendeley
381 Mendeley
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1 CiteULike
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Title
Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer
Published in
Genome Biology, January 2016
DOI 10.1186/s13059-016-0879-2
Pubmed ID
Authors

Holger Heyn, Enrique Vidal, Humberto J. Ferreira, Miguel Vizoso, Sergi Sayols, Antonio Gomez, Sebastian Moran, Raquel Boque-Sastre, Sonia Guil, Anna Martinez-Cardus, Charles Y. Lin, Romina Royo, Jose V. Sanchez-Mut, Ramon Martinez, Marta Gut, David Torrents, Modesto Orozco, Ivo Gut, Richard A. Young, Manel Esteller

Abstract

One of the hallmarks of cancer is the disruption of gene expression patterns. Many molecular lesions contribute to this phenotype, and the importance of aberrant DNA methylation profiles is increasingly recognized. Much of the research effort in this area has examined proximal promoter regions and epigenetic alterations at other loci are not well characterized. Using whole genome bisulfite sequencing to examine uncharted regions of the epigenome, we identify a type of far-reaching DNA methylation alteration in cancer cells of the distal regulatory sequences described as super-enhancers. Human tumors undergo a shift in super-enhancer DNA methylation profiles that is associated with the transcriptional silencing or the overactivation of the corresponding target genes. Intriguingly, we observe locally active fractions of super-enhancers detectable through hypomethylated regions that suggest spatial variability within the large enhancer clusters. Functionally, the DNA methylomes obtained suggest that transcription factors contribute to this local activity of super-enhancers and that trans-acting factors modulate DNA methylation profiles with impact on transforming processes during carcinogenesis. We develop an extensive catalogue of human DNA methylomes at base resolution to better understand the regulatory functions of DNA methylation beyond those of proximal promoter gene regions. CpG methylation status in normal cells points to locally active regulatory sites at super-enhancers, which are targeted by specific aberrant DNA methylation events in cancer, with putative effects on the expression of downstream genes.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
China 2 <1%
Belgium 1 <1%
Uruguay 1 <1%
Denmark 1 <1%
United States 1 <1%
Japan 1 <1%
Other 0 0%
Unknown 368 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 21%
Researcher 75 20%
Student > Bachelor 39 10%
Student > Master 34 9%
Student > Postgraduate 32 8%
Other 60 16%
Unknown 60 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 135 35%
Agricultural and Biological Sciences 123 32%
Medicine and Dentistry 19 5%
Computer Science 9 2%
Engineering 4 1%
Other 20 5%
Unknown 71 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 25 March 2017.
All research outputs
#1,323,730
of 25,374,647 outputs
Outputs from Genome Biology
#1,033
of 4,467 outputs
Outputs of similar age
#23,338
of 405,874 outputs
Outputs of similar age from Genome Biology
#22
of 63 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 94th 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 done well, scoring higher than 76% 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 405,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 63 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 65% of its contemporaries.