↓ Skip to main content

The Human Respiratory Syncytial Virus Nonstructural Protein 1 Regulates Type I and Type II Interferon Pathways*

Overview of attention for article published in Molecular and Cellular Proteomics, February 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
69 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Human Respiratory Syncytial Virus Nonstructural Protein 1 Regulates Type I and Type II Interferon Pathways*
Published in
Molecular and Cellular Proteomics, February 2012
DOI 10.1074/mcp.m111.015909
Pubmed ID
Authors

Marcus L. Hastie, Madeleine J. Headlam, Nirav B. Patel, Alexander A. Bukreyev, Ursula J. Buchholz, Keyur A. Dave, Emma L. Norris, Cassandra L. Wright, Kirsten M. Spann, Peter L. Collins, Jeffrey J. Gorman

Abstract

Respiratory syncytial viruses encode a nonstructural protein (NS1) that interferes with type I and III interferon and other antiviral responses. Proteomic studies were conducted on human A549 type II alveolar epithelial cells and type I interferon-deficient Vero cells (African green monkey kidney cells) infected with wild-type and NS1-deficient clones of human respiratory syncytial virus to identify other potential pathway and molecular targets of NS1 interference. These analyses included two-dimensional differential gel electrophoresis and quantitative Western blotting. Surprisingly, NS1 was found to suppress the induction of manganese superoxide dismutase (SOD2) expression in A549 cells and to a much lesser degree Vero cells in response to infection. Because SOD2 is not directly inducible by type I interferons, it served as a marker to probe the impact of NS1 on signaling of other cytokines known to induce SOD2 expression and/or indirect effects of type I interferon signaling. Deductive analysis of results obtained from cell infection and cytokine stimulation studies indicated that interferon-γ signaling was a potential target of NS1, possibly as a result of modulation of STAT1 levels. However, this was not sufficient to explain the magnitude of the impact of NS1 on SOD2 induction in A549 cells. Vero cell infection experiments indicated that NS1 targeted a component of the type I interferon response that does not directly induce SOD2 expression but is required to induce another initiator of SOD2 expression. STAT2 was ruled out as a target of NS1 interference using quantitative Western blot analysis of infected A549 cells, but data were obtained to indicate that STAT1 was one of a number of potential targets of NS1. A label-free mass spectrometry-based quantitative approach is proposed as a means of more definitive identification of NS1 targets.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
United States 1 1%
Canada 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 13 19%
Student > Bachelor 8 12%
Student > Master 7 10%
Other 4 6%
Other 8 12%
Unknown 12 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 39%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 5 7%
Immunology and Microbiology 5 7%
Environmental Science 2 3%
Other 5 7%
Unknown 15 22%
Attention Score in Context

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, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2012.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Molecular and Cellular Proteomics
#2,893
of 3,220 outputs
Outputs of similar age
#205,403
of 254,149 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#46
of 59 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,220 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 3rd percentile – i.e., 3% 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 254,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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.