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Human Blood CD1c+ Dendritic Cells Promote Th1 and Th17 Effector Function in Memory CD4+ T Cells

Overview of attention for article published in Frontiers in immunology, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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Title
Human Blood CD1c+ Dendritic Cells Promote Th1 and Th17 Effector Function in Memory CD4+ T Cells
Published in
Frontiers in immunology, August 2017
DOI 10.3389/fimmu.2017.00971
Pubmed ID
Authors

Ingrid M. Leal Rojas, Wai-Hong Mok, Frances E. Pearson, Yoshihito Minoda, Tony J. Kenna, Ross T. Barnard, Kristen J. Radford

Abstract

Dendritic cells (DC) initiate the differentiation of CD4(+) helper T cells into effector cells including Th1 and Th17 responses that play an important role in inflammation and autoimmune disease pathogenesis. In mice, Th1 and Th17 responses are regulated by different conventional (c) DC subsets, with cDC1 being the main producers of IL-12p70 and inducers of Th1 responses, while cDC2 produce IL-23 to promote Th17 responses. The role that human DC subsets play in memory CD4(+) T cell activation is not known. This study investigated production of Th1 promoting cytokine IL-12p70, and Th17 promoting cytokines, IL-1β, IL-6, and IL-23, by human blood monocytes, CD1c(+) DC, CD141(+) DC, and plasmacytoid DC and examined their ability to induce Th1 and Th17 responses in memory CD4(+) T cells. Human CD1c(+) DC produced IL-12p70, IL-1β, IL-6, and IL-23 in response to R848 combined with LPS or poly I:C. CD141(+) DC were also capable of producing IL-12p70 and IL-23 but were not as proficient as CD1c(+) DC. Activated CD1c(+) DC were endowed with the capacity to promote both Th1 and Th17 effector function in memory CD4(+) T cells, characterized by high production of interferon-γ, IL-17A, IL-17F, IL-21, and IL-22. These findings support a role for CD1c(+) DC in autoimmune inflammation where Th1/Th17 responses play an important role in disease pathogenesis.

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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 19%
Student > Ph. D. Student 18 17%
Researcher 11 10%
Student > Master 10 10%
Student > Doctoral Student 2 2%
Other 7 7%
Unknown 37 35%
Readers by discipline Count As %
Immunology and Microbiology 24 23%
Biochemistry, Genetics and Molecular Biology 16 15%
Agricultural and Biological Sciences 9 9%
Medicine and Dentistry 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 7 7%
Unknown 38 36%
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 20 September 2017.
All research outputs
#8,188,597
of 25,382,440 outputs
Outputs from Frontiers in immunology
#9,922
of 31,537 outputs
Outputs of similar age
#120,290
of 327,060 outputs
Outputs of similar age from Frontiers in immunology
#164
of 440 outputs
Altmetric has tracked 25,382,440 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 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 67% 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 327,060 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 62% of its contemporaries.
We're also able to compare this research output to 440 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 61% of its contemporaries.