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MicroRNA regulation in human CD8+ T cell subsets – cytokine exposure alone drives miR-146a expression

Overview of attention for article published in Journal of Translational Medicine, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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1 news outlet
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Title
MicroRNA regulation in human CD8+ T cell subsets – cytokine exposure alone drives miR-146a expression
Published in
Journal of Translational Medicine, October 2014
DOI 10.1186/s12967-014-0292-0
Pubmed ID
Authors

Hilary M Sheppard, Daniel Verdon, Anna ES Brooks, Vaughan Feisst, Yu-Yu Joyce Ho, Natalie Lorenz, Vicky Fan, Nigel P Birch, Alicia Didsbury, P Rod Dunbar

Abstract

BackgroundmicroRNAs (miRNAs) are emerging as key regulators of the immune system, but their role in CD8+ T cell differentiation is not well explored. Some evidence suggests that signals from cell surface receptors influence the expression of miRNAs in CD8+ T cells, and may have consequent effects on cell phenotype and function. We set out to investigate whether common gamma chain cytokines modulated human CD8+ T cell expression of miR-146a, which previous studies have associated with different stages of CD8+ differentiation. We also investigated how changes in miR-146a related to other miRNAs that alter with CD8+ differentiation status.MethodsWe treated human CD8+ T cells with the cytokines IL-2, IL-7 or IL-15 either at rest, or after stimulation with anti-CD3 and anti-CD28. For some experiments we also purified human CD8+ T cell subsets ex vivo. Flow cytometry was used in parallel to assess cell surface memory marker expression. Total RNA from these cells was subjected to microarray analysis and real-time PCR for miRNA expression. Nucleofection studies were performed to assess potential mRNA targets of miR-146a.ResultsWe find that miR-146a is up-regulated in naïve CD8+ T cells exposed to IL-2 or IL-15, even in the absence of an activating T cell receptor stimulus, but not when IL-7 is also present. miR-146a expression correlates with a memory phenotype in both ex vivo and in vitro cultured cells although in our hands overexpression of miR-146a was not sufficient alone to drive a full memory phenotype. In ex vivo analysis, miR-146a was one of a small number of miRNAs that was differentially expressed between naïve and memory CD8+ T cells.ConclusionsmiR-146a is emerging as a critical regulator of immune system. Our data shows that miR-146a expression is strongly influenced by the cytokine milieu even in the absence of a T cell receptor stimulus. Our results have implications for studies designed to assess the function of miR-146a, help to define a fingerprint of miRNA expression in CD8+ T cell subsets and may be useful when designing optimal protocols for T cell expansion as efficacy of T cell immunotherapy is correlated with an `early¿ memory phenotype.

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The data shown below were collected from the profiles of 3 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 9 19%
Student > Doctoral Student 7 15%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 7 15%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 27%
Medicine and Dentistry 11 23%
Biochemistry, Genetics and Molecular Biology 9 19%
Immunology and Microbiology 3 6%
Psychology 2 4%
Other 3 6%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 March 2016.
All research outputs
#3,116,253
of 23,298,349 outputs
Outputs from Journal of Translational Medicine
#499
of 4,110 outputs
Outputs of similar age
#35,970
of 261,131 outputs
Outputs of similar age from Journal of Translational Medicine
#10
of 87 outputs
Altmetric has tracked 23,298,349 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 87% 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 261,131 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.