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Inhibitory Receptors Beyond T Cell Exhaustion

Overview of attention for article published in Frontiers in immunology, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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6 X users
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Title
Inhibitory Receptors Beyond T Cell Exhaustion
Published in
Frontiers in immunology, June 2015
DOI 10.3389/fimmu.2015.00310
Pubmed ID
Authors

Silvia A. Fuertes Marraco, Natalie J. Neubert, Grégory Verdeil, Daniel E. Speiser

Abstract

Inhibitory receptors (iRs) are frequently associated with "T cell exhaustion". However, the expression of iRs is also dependent on T cell differentiation and activation. Therapeutic blockade of various iRs, also referred to as "checkpoint blockade", is showing -unprecedented results in the treatment of cancer patients. Consequently, the clinical potential in this field is broad, calling for increased research efforts and rapid refinements in the understanding of iR function. In this review, we provide an overview on the significance of iR expression for the interpretation of T cell functionality. We summarize how iRs have been strongly associated with "T cell exhaustion" and illustrate the parallel evidence on the importance of T cell differentiation and activation for the expression of iRs. The differentiation subsets of CD8 T cells (naïve, effector, and memory cells) show broad and inherent differences in iR expression, while activation leads to strong upregulation of iRs. Therefore, changes in iR expression during an immune response are often concomitant with T cell differentiation and activation. Sustained expression of iRs in chronic infection and in the tumor microenvironment likely reflects a specialized T cell differentiation. In these situations of prolonged antigen exposure and chronic inflammation, T cells are "downtuned" in order to limit tissue damage. Furthermore, we review the novel "checkpoint blockade" treatments and the potential of iRs as biomarkers. Finally, we provide recommendations for the immune monitoring of patients to interpret iR expression data combined with parameters of activation and differentiation of T cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Brazil 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 440 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 101 22%
Student > Ph. D. Student 75 17%
Student > Bachelor 51 11%
Student > Master 50 11%
Other 31 7%
Other 62 14%
Unknown 80 18%
Readers by discipline Count As %
Immunology and Microbiology 125 28%
Agricultural and Biological Sciences 72 16%
Biochemistry, Genetics and Molecular Biology 72 16%
Medicine and Dentistry 51 11%
Chemistry 6 1%
Other 30 7%
Unknown 94 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 October 2020.
All research outputs
#5,452,627
of 25,394,764 outputs
Outputs from Frontiers in immunology
#6,175
of 31,554 outputs
Outputs of similar age
#63,243
of 278,268 outputs
Outputs of similar age from Frontiers in immunology
#29
of 175 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 80% 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 278,268 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 76% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.