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Interferon (IFN)-λ Takes the Helm: Immunomodulatory Roles of Type III IFNs

Overview of attention for article published in Frontiers in immunology, November 2017
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Interferon (IFN)-λ Takes the Helm: Immunomodulatory Roles of Type III IFNs
Published in
Frontiers in immunology, November 2017
DOI 10.3389/fimmu.2017.01661
Pubmed ID
Authors

Ivan Zanoni, Francesca Granucci, Achille Broggi

Abstract

Type III interferons (IFNs) (or IFN-λ) are the latest addition to the IFN family. Even though they share little protein homology with type I IFN, both exhibit remarkable functional similarities: each can be induced in response to viral infections, and both lead to Janus kinases (JAK) and signal transducer and activator of transcription (STAT) activation. The JAK/STAT pathway induces antiviral responses and IFN-stimulated gene transcription. However, despite the similarities in their effector functions with type I IFNs, IFN-λ also has a non-redundant role in protecting barrier organs: epithelial cells preferentially produce IFN-λ rather than type I IFNs; and interferon lambda receptor 1 (IFNLR1), the specific receptor for IFN-λ, is highly expressed on cells of epithelial lineage. Thus far, IFN-λ has been considered mainly as an epithelial cytokine, which restricts viral replication in epithelial cells and constitutes an added layer of protection at mucosal sites. However, it is now increasingly recognized that IFNLR1 is expressed broadly, and that immune cells such as neutrophils and dendritic cells also respond to IFN-λ. Moreover, in many in vivo models, IFN-λ modulates immune cell functions and thereby configures itself less as a cytokine that is only specific to the epithelium, and more as a cytokine that directly controls the inflammatory response at mucosal sites. Here, we critically review the recent literature on immune modulatory roles for IFN-λ, and distinguish between the direct and indirect effects of this IFN on immune cell functions in different inflammatory settings.

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The data shown below were collected from the profiles of 14 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 22%
Researcher 23 16%
Student > Master 13 9%
Student > Bachelor 13 9%
Student > Doctoral Student 11 8%
Other 22 15%
Unknown 32 22%
Readers by discipline Count As %
Immunology and Microbiology 37 25%
Biochemistry, Genetics and Molecular Biology 27 18%
Agricultural and Biological Sciences 19 13%
Medicine and Dentistry 18 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 6 4%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 November 2022.
All research outputs
#5,344,601
of 26,128,906 outputs
Outputs from Frontiers in immunology
#5,800
of 32,938 outputs
Outputs of similar age
#102,257
of 451,881 outputs
Outputs of similar age from Frontiers in immunology
#136
of 593 outputs
Altmetric has tracked 26,128,906 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,938 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 82% 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 451,881 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 77% of its contemporaries.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.