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Functional Delineation and Differentiation Dynamics of Human CD4+ T Cells Expressing the FoxP3 Transcription Factor

Overview of attention for article published in Immunity, May 2009
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
patent
59 patents
f1000
1 research highlight platform

Citations

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1877 Dimensions

Readers on

mendeley
1158 Mendeley
citeulike
4 CiteULike
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Title
Functional Delineation and Differentiation Dynamics of Human CD4+ T Cells Expressing the FoxP3 Transcription Factor
Published in
Immunity, May 2009
DOI 10.1016/j.immuni.2009.03.019
Pubmed ID
Authors

Makoto Miyara, Yumiko Yoshioka, Akihiko Kitoh, Tomoko Shima, Kajsa Wing, Akira Niwa, Christophe Parizot, Cécile Taflin, Toshio Heike, Dominique Valeyre, Alexis Mathian, Tatsutoshi Nakahata, Tomoyuki Yamaguchi, Takashi Nomura, Masahiro Ono, Zahir Amoura, Guy Gorochov, Shimon Sakaguchi

Abstract

FoxP3 is a key transcription factor for the development and function of natural CD4(+) regulatory T cells (Treg cells). Here we show that human FoxP3(+)CD4(+) T cells were composed of three phenotypically and functionally distinct subpopulations: CD45RA(+)FoxP3(lo) resting Treg cells (rTreg cells) and CD45RA(-)FoxP3(hi) activated Treg cells (aTreg cells), both of which were suppressive in vitro, and cytokine-secreting CD45RA(-)FoxP3(lo) nonsuppressive T cells. The proportion of the three subpopulations differed between cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTreg cells rapidly died whereas rTreg cells proliferated and converted into aTreg cells in vitro and in vivo. This was shown by the transfer of rTreg cells into NOD-scid-common gamma-chain-deficient mice and by TCR sequence-based T cell clonotype tracing in peripheral blood in a normal individual. Taken together, the dissection of FoxP3(+) cells into subsets enables one to analyze Treg cell differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3(+) subpopulations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
United Kingdom 4 <1%
Japan 3 <1%
Netherlands 2 <1%
France 2 <1%
Portugal 2 <1%
Canada 2 <1%
Chile 1 <1%
Kenya 1 <1%
Other 6 <1%
Unknown 1131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 258 22%
Researcher 222 19%
Student > Master 118 10%
Student > Bachelor 106 9%
Student > Doctoral Student 76 7%
Other 170 15%
Unknown 208 18%
Readers by discipline Count As %
Medicine and Dentistry 260 22%
Agricultural and Biological Sciences 229 20%
Immunology and Microbiology 229 20%
Biochemistry, Genetics and Molecular Biology 127 11%
Engineering 15 1%
Other 62 5%
Unknown 236 20%
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 14 March 2024.
All research outputs
#1,581,256
of 25,837,817 outputs
Outputs from Immunity
#1,256
of 4,864 outputs
Outputs of similar age
#4,402
of 110,010 outputs
Outputs of similar age from Immunity
#4
of 42 outputs
Altmetric has tracked 25,837,817 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 4,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.6. This one has gotten more attention than average, scoring higher than 74% 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 110,010 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 95% of its contemporaries.
We're also able to compare this research output to 42 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 90% of its contemporaries.