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Androgen Receptor Function Links Human Sexual Dimorphism to DNA Methylation

Overview of attention for article published in PLOS ONE, September 2013
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Title
Androgen Receptor Function Links Human Sexual Dimorphism to DNA Methylation
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0073288
Pubmed ID
Authors

Ole Ammerpohl, Susanne Bens, Mahesh Appari, Ralf Werner, Bernhard Korn, Stenvert L. S. Drop, Frans Verheijen, Yvonne van der Zwan, Trevor Bunch, Ieuan Hughes, Martine Cools, Felix G. Riepe, Olaf Hiort, Reiner Siebert, Paul-Martin Holterhus

Abstract

Sex differences are well known to be determinants of development, health and disease. Epigenetic mechanisms are also known to differ between men and women through X-inactivation in females. We hypothesized that epigenetic sex differences may also result from sex hormone functions, in particular from long-lasting androgen programming. We aimed at investigating whether inactivation of the androgen receptor, the key regulator of normal male sex development, is associated with differences of the patterns of DNA methylation marks in genital tissues. To this end, we performed large scale array-based analysis of gene methylation profiles on genomic DNA from labioscrotal skin fibroblasts of 8 males and 26 individuals with androgen insensitivity syndrome (AIS) due to inactivating androgen receptor gene mutations. By this approach we identified differential methylation of 167 CpG loci representing 162 unique human genes. These were significantly enriched for androgen target genes and low CpG content promoter genes. Additional 75 genes showed a significant increase of heterogeneity of methylation in AIS compared to a high homogeneity in normal male controls. Our data show that normal and aberrant androgen receptor function is associated with distinct patterns of DNA-methylation marks in genital tissues. These findings support the concept that transcription factor binding to the DNA has an impact on the shape of the DNA methylome. These data which derived from a rare human model suggest that androgen programming of methylation marks contributes to sexual dimorphism in the human which might have considerable impact on the manifestation of sex-associated phenotypes and diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 9 18%
Student > Bachelor 6 12%
Researcher 6 12%
Student > Postgraduate 4 8%
Other 9 18%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 9 18%
Unspecified 2 4%
Computer Science 2 4%
Other 7 14%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2017.
All research outputs
#14,200,249
of 22,763,032 outputs
Outputs from PLOS ONE
#116,149
of 194,201 outputs
Outputs of similar age
#110,195
of 196,935 outputs
Outputs of similar age from PLOS ONE
#2,887
of 5,049 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 196,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,049 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.