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Mechanisms of Hemagglutinin Targeted Influenza Virus Neutralization

Overview of attention for article published in PLOS ONE, December 2013
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Title
Mechanisms of Hemagglutinin Targeted Influenza Virus Neutralization
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0080034
Pubmed ID
Authors

Boerries Brandenburg, Wouter Koudstaal, Jaap Goudsmit, Vincent Klaren, Chan Tang, Miriam V. Bujny, Hans J. W. M. Korse, Ted Kwaks, Jason J. Otterstrom, Jarek Juraszek, Antoine M. van Oijen, Ronald Vogels, Robert H. E. Friesen

Abstract

Human monoclonal antibodies have been identified which neutralize broad spectra of influenza A or B viruses. Here, we dissect the mechanisms by which such antibodies interfere with infectivity. We distinguish four mechanisms that link the conserved hemagglutinin (HA) epitopes of broadly neutralizing antibodies to critical processes in the viral life cycle. HA-stem binding antibodies can act intracellularly by blocking fusion between the viral and endosomal membranes and extracellularly by preventing the proteolytic activation of HA. HA-head binding antibodies prevent viral attachment and release. These insights into newly identified ways by which the human immune system can interfere with influenza virus infection may aid the development of novel universal vaccines and antivirals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
United States 1 <1%
China 1 <1%
South Africa 1 <1%
Unknown 193 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 25%
Researcher 38 19%
Student > Bachelor 27 14%
Student > Master 26 13%
Student > Doctoral Student 8 4%
Other 17 9%
Unknown 31 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 23%
Biochemistry, Genetics and Molecular Biology 37 19%
Immunology and Microbiology 34 17%
Medicine and Dentistry 12 6%
Chemistry 10 5%
Other 23 12%
Unknown 36 18%