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Mouse superkiller‐2‐like helicase DDX60 is dispensable for type I IFN induction and immunity to multiple viruses

Overview of attention for article published in European Journal of Immunology, October 2015
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Mouse superkiller‐2‐like helicase DDX60 is dispensable for type I IFN induction and immunity to multiple viruses
Published in
European Journal of Immunology, October 2015
DOI 10.1002/eji.201545794
Pubmed ID
Authors

Delphine Goubau, Annemarthe G. van der Veen, Probir Chakravarty, Rongtuan Lin, Neil Rogers, Jan Rehwinkel, Safia Deddouche, Ian Rosewell, John Hiscott, Caetano Reis e Sousa

Abstract

IFN-α/β allow cells to fight virus infection by inducing the expression of many genes that encode effectors of antiviral defense. One of these, the Ski2-like DExH-box helicase DDX60, was recently implicated in resistance of human cells to hepatitis C virus, as well as in induction of IFN-α/β by retinoic acid inducible gene 1-like receptors (RLRs) that detect the presence of RNA viruses in a cell-intrinsic manner. Here, we sought to investigate the role of DDX60 in IFN-α/β induction and in resistance to virus infection. Analysis of fibroblasts and myeloid cells from Ddx60-deficient mice revealed no impairment in IFN-α/β production in response to RLR agonists, RNA viruses, or other stimuli. Moreover, overexpression of DDX60 did not potentiate IFN induction and DDX60 did not interact with RLRs or capture RLR agonists from virally infected cells. We also failed to identify any impairment in Ddx60-deficient murine cells or mice in resistance to infection with influenza A virus, encephalomyocarditis virus, Sindbis virus, vaccinia virus, or herpes simplex virus-1. These results put in question the reported role of DDX60 as a broad-acting positive regulator of RLR responses and hint at the possibility that it may function as a restriction factor highly specific for a particular virus or class of viruses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Bachelor 10 20%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Student > Postgraduate 3 6%
Other 4 8%
Unknown 7 14%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Biochemistry, Genetics and Molecular Biology 10 20%
Agricultural and Biological Sciences 8 16%
Immunology and Microbiology 7 14%
Arts and Humanities 1 2%
Other 4 8%
Unknown 9 18%
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 14 April 2016.
All research outputs
#13,511,215
of 23,312,088 outputs
Outputs from European Journal of Immunology
#5,227
of 6,660 outputs
Outputs of similar age
#129,792
of 280,196 outputs
Outputs of similar age from European Journal of Immunology
#25
of 77 outputs
Altmetric has tracked 23,312,088 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 6,660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 280,196 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 52% of its contemporaries.
We're also able to compare this research output to 77 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 64% of its contemporaries.