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Genome-wide DNA-methylation landscape defines specialization of regulatory T cells in tissues

Overview of attention for article published in Nature Immunology, August 2017
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
39 tweeters

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
201 Mendeley
Title
Genome-wide DNA-methylation landscape defines specialization of regulatory T cells in tissues
Published in
Nature Immunology, August 2017
DOI 10.1038/ni.3799
Pubmed ID
Authors

Michael Delacher, Charles D Imbusch, Dieter Weichenhan, Achim Breiling, Agnes Hotz-Wagenblatt, Ulrike Träger, Ann-Cathrin Hofer, Danny Kägebein, Qi Wang, Felix Frauhammer, Jan-Philipp Mallm, Katharina Bauer, Carl Herrmann, Philipp A Lang, Benedikt Brors, Christoph Plass, Markus Feuerer

Abstract

Regulatory T cells (Treg cells) perform two distinct functions: they maintain self-tolerance, and they support organ homeostasis by differentiating into specialized tissue Treg cells. We found that epigenetic modifications defined the molecular characteristics of tissue Treg cells. Tagmentation-based whole-genome bisulfite sequencing revealed more than 11,000 regions that were methylated differentially in pairwise comparisons of tissue Treg cell populations and lymphoid T cells. Similarities in the epigenetic landscape led to the identification of a common tissue Treg cell population that was present in many organs and was characterized by gain and loss of DNA methylation that included many gene sites associated with the TH2 subset of helper T cells, such as the gene encoding cytokine IL-33 receptor ST2, as well as the production of tissue-regenerative factors. Furthermore, the ST2-expressing population was dependent on the transcriptional regulator BATF and could be expanded by IL-33. Thus, tissue Treg cells integrate multiple waves of epigenetic reprogramming that define their tissue-restricted specialization.

Twitter Demographics

The data shown below were collected from the profiles of 39 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 30%
Researcher 46 23%
Student > Master 20 10%
Student > Doctoral Student 12 6%
Student > Bachelor 11 5%
Other 24 12%
Unknown 27 13%
Readers by discipline Count As %
Immunology and Microbiology 57 28%
Agricultural and Biological Sciences 40 20%
Biochemistry, Genetics and Molecular Biology 40 20%
Medicine and Dentistry 20 10%
Engineering 4 2%
Other 8 4%
Unknown 32 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 01 April 2021.
All research outputs
#925,792
of 17,397,008 outputs
Outputs from Nature Immunology
#534
of 3,327 outputs
Outputs of similar age
#24,335
of 278,817 outputs
Outputs of similar age from Nature Immunology
#14
of 55 outputs
Altmetric has tracked 17,397,008 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 3,327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has done well, scoring higher than 83% 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 278,817 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 91% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.