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The enhancer and promoter landscape of human regulatory and conventional T-cell subpopulations

Overview of attention for article published in Blood, March 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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3 news outlets
twitter
1 X user

Citations

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75 Dimensions

Readers on

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165 Mendeley
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1 CiteULike
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Title
The enhancer and promoter landscape of human regulatory and conventional T-cell subpopulations
Published in
Blood, March 2014
DOI 10.1182/blood-2013-02-486944
Pubmed ID
Authors

Christian Schmidl, Leo Hansmann, Timo Lassmann, Piotr J. Balwierz, Hideya Kawaji, Masayoshi Itoh, Jun Kawai, Sayaka Nagao-Sato, Harukazu Suzuki, Reinhard Andreesen, Yoshihide Hayashizaki, Alistair R.R. Forrest, Piero Carninci, Petra Hoffmann, Matthias Edinger, Michael Rehli, for the FANTOM consortium

Abstract

CD4(+)CD25(+)FOXP3(+) human regulatory T cells (Tregs) are essential for self-tolerance and immune homeostasis. Here, we describe the promoterome of CD4(+)CD25(high)CD45RA(+) naïve and CD4(+)CD25(high)CD45RA(-) memory Tregs and their CD25(-) conventional T-cell (Tconv) counterparts both before and after in vitro expansion by cap analysis of gene expression (CAGE) adapted to single-molecule sequencing (HeliScopeCAGE). We performed comprehensive comparative digital gene expression analyses and revealed novel transcription start sites, of which several were validated as alternative promoters of known genes. For all in vitro expanded subsets, we additionally generated global maps of poised and active enhancer elements marked by histone H3 lysine 4 monomethylation and histone H3 lysine 27 acetylation, describe their cell type-specific motif signatures, and evaluate the role of candidate transcription factors STAT5, FOXP3, RUNX1, and ETS1 in both Treg- and Tconv-specific enhancer architectures. Network analyses of gene expression data revealed additional candidate transcription factors contributing to cell type specificity and a transcription factor network in Tregs that is dominated by FOXP3 interaction partners and targets. In summary, we provide a comprehensive and easily accessible resource of gene expression and gene regulation in human Treg and Tconv subpopulations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 30%
Student > Ph. D. Student 39 24%
Student > Master 13 8%
Other 10 6%
Student > Bachelor 9 5%
Other 24 15%
Unknown 20 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 32%
Biochemistry, Genetics and Molecular Biology 33 20%
Immunology and Microbiology 27 16%
Medicine and Dentistry 16 10%
Computer Science 4 2%
Other 8 5%
Unknown 24 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 24 April 2014.
All research outputs
#1,580,368
of 25,373,627 outputs
Outputs from Blood
#1,347
of 33,239 outputs
Outputs of similar age
#15,553
of 238,073 outputs
Outputs of similar age from Blood
#18
of 260 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 238,073 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 93% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.