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Tc17 cells are a proinflammatory, plastic lineage of pathogenic CD8+ T cells that induce GVHD without antileukemic effects

Overview of attention for article published in Blood, July 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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9 X users

Citations

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95 Dimensions

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63 Mendeley
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Title
Tc17 cells are a proinflammatory, plastic lineage of pathogenic CD8+ T cells that induce GVHD without antileukemic effects
Published in
Blood, July 2015
DOI 10.1182/blood-2015-01-622662
Pubmed ID
Authors

Kate H Gartlan, Kate A Markey, Antiopi Varelias, Mark D Bunting, Motoko Koyama, Rachel D Kuns, Neil C Raffelt, Stuart D Olver, Katie E Lineburg, Melody Cheong, Bianca E Teal, Mary Lor, Iain Comerford, Michele W L Teng, Mark J Smyth, James McCluskey, Jamie Rossjohn, Brigitta Stockinger, Glen M Boyle, Steven W Lane, Andrew D Clouston, Shaun R McColl, Kelli P A MacDonald, Geoffrey R Hill

Abstract

IL-17-producing cells are important mediators of graft-versus-host disease (GVHD) after allogeneic stem cell transplantation (SCT). Here we demonstrate that a distinct CD8(+) Tc17 population develops rapidly after SCT but fails to maintain lineage fidelity such that they are unrecognizable in the absence of a fate reporter. Tc17 differentiation is dependent on alloantigen presentation by host-DC together with IL-6. Tc17 cells express high levels of multiple prototypic lineage-defining transcription factors (e.g. RORγt, T-bet) and cytokines (e.g. IL-17A, IL-22, IFNγ, GM-CSF, IL-13). Targeted depletion of Tc17 early after transplant protects from lethal acute GVHD, however Tc17 cells are non-cytolytic and fail to mediate graft-versus-leukemia (GVL) effects. Thus, the Tc17 differentiation program during GVHD culminates in a highly plastic, hyper-inflammatory, poorly-cytolytic effector population which we term inflammatory Tc17 (iTc17). Since iTc17 mediate GVHD without contributing to GVL, therapeutic inhibition of iTc17 development in a clinical setting represents an attractive approach for separating GVHD and GVL.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
France 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 11 17%
Other 7 11%
Student > Doctoral Student 5 8%
Student > Master 4 6%
Other 8 13%
Unknown 15 24%
Readers by discipline Count As %
Immunology and Microbiology 20 32%
Medicine and Dentistry 11 17%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 2 3%
Sports and Recreations 1 2%
Other 3 5%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 February 2016.
All research outputs
#7,301,044
of 25,371,288 outputs
Outputs from Blood
#12,692
of 33,239 outputs
Outputs of similar age
#78,848
of 275,159 outputs
Outputs of similar age from Blood
#93
of 253 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 33,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 61% 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 275,159 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 71% of its contemporaries.
We're also able to compare this research output to 253 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 62% of its contemporaries.