Hepatitis C Virus Pathogen Associated Molecular Pattern (PAMP) Triggers Production of Lambda-Interferons by Human Plasmacytoid Dendritic Cells

Overview of attention for article published in PLoS Pathogens, January 2013
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Title
Hepatitis C Virus Pathogen Associated Molecular Pattern (PAMP) Triggers Production of Lambda-Interferons by Human Plasmacytoid Dendritic Cells
Published in
PLoS Pathogens, January 2013
DOI 10.1371/journal.ppat.1003316
Pubmed ID
Authors

Amy E. L. Stone

Abstract

Plasmacytoid Dendritic Cells (pDCs) represent a key immune cell in the defense against viruses. Through pattern recognition receptors (PRRs), these cells detect viral pathogen associated molecular patterns (PAMPs) and initiate an Interferon (IFN) response. pDCs produce the antiviral IFNs including the well-studied Type I and the more recently described Type III. Recent genome wide association studies (GWAS) have implicated Type III IFNs in HCV clearance. We examined the IFN response induced in a pDC cell line and ex vivo human pDCs by a region of the HCV genome referred to as the HCV PAMP. This RNA has been shown previously to be immunogenic in hepatocytes, whereas the conserved X-region RNA is not. We show that in response to the HCV PAMP, pDC-GEN2.2 cells upregulate and secrete Type III (in addition to Type I) IFNs and upregulate PRR genes and proteins. We also demonstrate that the recognition of this RNA is dependent on RIG-I-like Receptors (RLRs) and Toll-like Receptors (TLRs), challenging the dogma that RLRs are dispensable in pDCs. The IFNs produced by these cells in response to the HCV PAMP also control HCV replication in vitro. These data are recapitulated in ex vivo pDCs isolated from healthy donors. Together, our data shows that pDCs respond robustly to HCV RNA to make Type III Interferons that control viral replication. This may represent a novel therapeutic strategy for the treatment of HCV.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Australia 1 2%
Canada 1 2%
United States 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 37%
Student > Ph. D. Student 13 28%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 80%
Medicine and Dentistry 6 13%
Environmental Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Engineering 1 2%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score was calculated when the research output was last mentioned on 19 April 2013.
All research outputs
#2,897,991
of 3,632,750 outputs
Outputs from PLoS Pathogens
#2,610
of 2,930 outputs
Outputs of similar age
#65,738
of 85,036 outputs
Outputs of similar age from PLoS Pathogens
#122
of 144 outputs
Altmetric has tracked 3,632,750 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,930 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.