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Engineering Specificity and Function of Therapeutic Regulatory T Cells

Overview of attention for article published in Frontiers in immunology, November 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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15 X users
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1 patent

Citations

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26 Dimensions

Readers on

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73 Mendeley
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Title
Engineering Specificity and Function of Therapeutic Regulatory T Cells
Published in
Frontiers in immunology, November 2017
DOI 10.3389/fimmu.2017.01517
Pubmed ID
Authors

Jenny L. McGovern, Graham P. Wright, Hans J. Stauss

Abstract

Adoptive therapy with polyclonal regulatory T cells (Tregs) has shown efficacy in suppressing detrimental immune responses in experimental models of autoimmunity and transplantation. The lack of specificity is a potential limitation of Treg therapy, as studies in mice have demonstrated that specificity can enhance the therapeutic potency of Treg. We will discuss that vectors encoding T cell receptors or chimeric antigen receptors provide an efficient gene-transfer platform to reliably produce Tregs of defined antigen specificity, thus overcoming the considerable difficulties of isolating low-frequency, antigen-specific cells that may be present in the natural Treg repertoire. The recent observations that Tregs can polarize into distinct lineages similar to the Th1, Th2, and Th17 subsets described for conventional T helper cells raise the possibility that Th1-, Th2-, and Th17-driven pathology may require matching Treg subsets for optimal therapeutic efficacy. In the future, genetic engineering may serve not only to enforce FoxP3 expression and a stable Treg phenotype but it may also enable the expression of particular transcription factors that drive differentiation into defined Treg subsets. Together, established and recently developed gene transfer and editing tools provide exciting opportunities to produce tailor-made antigen-specific Treg products with defined functional activities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Bachelor 13 18%
Student > Ph. D. Student 9 12%
Student > Master 7 10%
Student > Doctoral Student 6 8%
Other 9 12%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 16%
Immunology and Microbiology 12 16%
Biochemistry, Genetics and Molecular Biology 9 12%
Medicine and Dentistry 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 10 14%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 July 2019.
All research outputs
#3,338,181
of 25,932,719 outputs
Outputs from Frontiers in immunology
#3,624
of 32,608 outputs
Outputs of similar age
#59,177
of 342,368 outputs
Outputs of similar age from Frontiers in immunology
#74
of 606 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,608 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 88% 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 342,368 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 82% of its contemporaries.
We're also able to compare this research output to 606 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.