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Immunity to Pathogens Taught by Specialized Human Dendritic Cell Subsets

Overview of attention for article published in Frontiers in immunology, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
Immunity to Pathogens Taught by Specialized Human Dendritic Cell Subsets
Published in
Frontiers in immunology, October 2015
DOI 10.3389/fimmu.2015.00527
Pubmed ID
Authors

Jens Geginat, Giulia Nizzoli, Moira Paroni, Stefano Maglie, Paola Larghi, Steve Pascolo, Sergio Abrignani

Abstract

Dendritic cells (DCs) are specialized antigen-presenting cells (APCs) that have a key role in immune responses because they bridge the innate and adaptive arms of the immune system. They mature upon recognition of pathogens and upregulate MHC molecules and costimulatory receptors to activate antigen-specific CD4(+) and CD8(+) T cells. It is now well established that DCs are not a homogeneous population but are composed of different subsets with specialized functions in immune responses to specific pathogens. Upon viral infections, plasmacytoid DCs (pDCs) rapidly produce large amounts of IFN-α, which has potent antiviral functions and activates several other immune cells. However, pDCs are not particularly potent APCs and induce the tolerogenic cytokine IL-10 in CD4(+) T cells. In contrast, myeloid DCs (mDCs) are very potent APCs and possess the unique capacity to prime naive T cells and consequently to initiate a primary adaptive immune response. Different subsets of mDCs with specialized functions have been identified. In mice, CD8α(+) mDCs capture antigenic material from necrotic cells, secrete high levels of IL-12, and prime Th1 and cytotoxic T-cell responses to control intracellular pathogens. Conversely, CD8α(-) mDCs preferentially prime CD4(+) T cells and promote Th2 or Th17 differentiation. BDCA-3(+) mDC2 are the human homologue of CD8α(+) mDCs, since they share the expression of several key molecules, the capacity to cross-present antigens to CD8(+) T-cells and to produce IFN-λ. However, although several features of the DC network are conserved between humans and mice, the expression of several toll-like receptors as well as the production of cytokines that regulate T-cell differentiation are different. Intriguingly, recent data suggest specific roles for human DC subsets in immune responses against individual pathogens. The biology of human DC subsets holds the promise to be exploitable in translational medicine, in particular for the development of vaccines against persistent infections or cancer.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 24%
Student > Ph. D. Student 22 23%
Student > Master 11 12%
Student > Bachelor 10 11%
Student > Postgraduate 5 5%
Other 11 12%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 28%
Immunology and Microbiology 25 26%
Biochemistry, Genetics and Molecular Biology 12 13%
Medicine and Dentistry 10 11%
Chemistry 2 2%
Other 4 4%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 November 2015.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Frontiers in immunology
#12,362
of 31,513 outputs
Outputs of similar age
#134,461
of 291,301 outputs
Outputs of similar age from Frontiers in immunology
#53
of 164 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,513 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 59% 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 291,301 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 53% of its contemporaries.
We're also able to compare this research output to 164 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 63% of its contemporaries.