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Host Modulators of H1N1 Cytopathogenicity

Overview of attention for article published in PLOS ONE, August 2012
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Title
Host Modulators of H1N1 Cytopathogenicity
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0039284
Pubmed ID
Authors

Samuel E. Ward, Hyun Seok Kim, Kakajan Komurov, Saurabh Mendiratta, Pei-Ling Tsai, Mirco Schmolke, Neal Satterly, Balaji Manicassamy, Christian V. Forst, Michael G. Roth, Adolfo García-Sastre, Katarzyna M. Blazewska, Charles E. McKenna, Beatriz M. Fontoura, Michael A. White

Abstract

Influenza A virus infects 5-20% of the population annually, resulting in ~35,000 deaths and significant morbidity. Current treatments include vaccines and drugs that target viral proteins. However, both of these approaches have limitations, as vaccines require yearly development and the rapid evolution of viral proteins gives rise to drug resistance. In consequence additional intervention strategies, that target host factors required for the viral life cycle, are under investigation. Here we employed arrayed whole-genome siRNA screening strategies to identify cell-autonomous molecular components that are subverted to support H1N1 influenza A virus infection of human bronchial epithelial cells. Integration across relevant public data sets exposed druggable gene products required for epithelial cell infection or required for viral proteins to deflect host cell suicide checkpoint activation. Pharmacological inhibition of representative targets, RGGT and CHEK1, resulted in significant protection against infection of human epithelial cells by the A/WS/33 virus. In addition, chemical inhibition of RGGT partially protected against H5N1 and the 2009 H1N1 pandemic strain. The observations reported here thus contribute to an expanding body of studies directed at decoding vulnerabilities in the command and control networks specified by influenza virulence factors.

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Bachelor 6 9%
Student > Master 6 9%
Professor > Associate Professor 5 7%
Other 8 11%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Medicine and Dentistry 11 16%
Biochemistry, Genetics and Molecular Biology 9 13%
Immunology and Microbiology 4 6%
Computer Science 3 4%
Other 7 10%
Unknown 14 20%