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Isogenic mice exhibit sexually-dimorphic DNA methylation patterns across multiple tissues

Overview of attention for article published in BMC Genomics, December 2017
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Title
Isogenic mice exhibit sexually-dimorphic DNA methylation patterns across multiple tissues
Published in
BMC Genomics, December 2017
DOI 10.1186/s12864-017-4350-x
Pubmed ID
Authors

Helen McCormick, Paul E. Young, Suzy S. J. Hur, Keith Booher, Hunter Chung, Jennifer E. Cropley, Eleni Giannoulatou, Catherine M. Suter

Abstract

Cytosine methylation is a stable epigenetic modification of DNA that plays an important role in both normal physiology and disease. Most diseases exhibit some degree of sexual dimorphism, but the extent to which epigenetic states are influenced by sex is understudied and poorly understood. To address this deficit we studied DNA methylation patterns across multiple reduced representation bisulphite sequencing datasets (from liver, heart, brain, muscle and spleen) derived from isogenic male and female mice. DNA methylation patterns varied significantly from tissue to tissue, as expected, but they also varied between the sexes, with thousands of sexually dimorphic loci identified. The loci affected were largely autonomous to each tissue, even within tissues derived from the same germ layer. At most loci, differences between genders were driven by females exhibiting hypermethylation relative to males; a proportion of these differences were independent of the presence of testosterone in males. Loci harbouring gender differences were clustered in ontologies related to tissue function. Our findings suggest that gender is underwritten in the epigenome in a tissue-specific and potentially sex hormone-independent manner. Gender-specific epigenetic states are likely to have important implications for understanding sexually dimorphic phenotypes in health and disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 8 18%
Student > Master 5 11%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 3 7%
Unknown 10 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 41%
Agricultural and Biological Sciences 5 11%
Neuroscience 3 7%
Medicine and Dentistry 3 7%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 December 2017.
All research outputs
#17,922,331
of 23,011,300 outputs
Outputs from BMC Genomics
#7,614
of 10,697 outputs
Outputs of similar age
#306,971
of 439,212 outputs
Outputs of similar age from BMC Genomics
#155
of 228 outputs
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So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.