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T cell immunity as a tool for studying epigenetic regulation of cellular differentiation

Overview of attention for article published in Frontiers in Genetics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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4 X users
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1 peer review site

Citations

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43 Dimensions

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244 Mendeley
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Title
T cell immunity as a tool for studying epigenetic regulation of cellular differentiation
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00218
Pubmed ID
Authors

Brendan E. Russ, Julia E. Prier, Sudha Rao, Stephen J. Turner

Abstract

Cellular differentiation is regulated by the strict spatial and temporal control of gene expression. This is achieved, in part, by regulating changes in histone post-translational modifications (PTMs) and DNA methylation that in turn, impact transcriptional activity. Further, histone PTMs and DNA methylation are often propagated faithfully at cell division (termed epigenetic propagation), and thus contribute to maintaining cellular identity in the absence of signals driving differentiation. Cardinal features of adaptive T cell immunity include the ability to differentiate in response to infection, resulting in acquisition of immune functions required for pathogen clearance; and the ability to maintain this functional capacity in the long-term, allowing more rapid and effective pathogen elimination following re-infection. These characteristics underpin vaccination strategies by effectively establishing a long-lived T cell population that contributes to an immunologically protective state (termed immunological memory). As we discuss in this review, epigenetic mechanisms provide attractive and powerful explanations for key aspects of T cell-mediated immunity - most obviously and notably, immunological memory, because of the capacity of epigenetic circuits to perpetuate cellular identities in the absence of the initial signals that drive differentiation. Indeed, T cell responses to infection are an ideal model system for studying how epigenetic factors shape cellular differentiation and development generally. This review will examine how epigenetic mechanisms regulate T cell function and differentiation, and how these model systems are providing general insights into the epigenetic regulation of gene transcription during cellular differentiation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 236 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 29%
Student > Master 41 17%
Researcher 29 12%
Student > Bachelor 29 12%
Student > Doctoral Student 13 5%
Other 22 9%
Unknown 39 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 30%
Immunology and Microbiology 54 22%
Biochemistry, Genetics and Molecular Biology 29 12%
Medicine and Dentistry 28 11%
Neuroscience 2 <1%
Other 14 6%
Unknown 43 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 November 2013.
All research outputs
#7,191,499
of 22,729,647 outputs
Outputs from Frontiers in Genetics
#2,280
of 11,757 outputs
Outputs of similar age
#80,255
of 280,769 outputs
Outputs of similar age from Frontiers in Genetics
#99
of 319 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 79% 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 280,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.