↓ Skip to main content

PLOS

Binding of DC-SIGN to the Hemagglutinin of Influenza A Viruses Supports Virus Replication in DC-SIGN Expressing Cells

Overview of attention for article published in PLOS ONE, February 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
56 Mendeley
Title
Binding of DC-SIGN to the Hemagglutinin of Influenza A Viruses Supports Virus Replication in DC-SIGN Expressing Cells
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056164
Pubmed ID
Authors

Marine L. B. Hillaire, Nella J. Nieuwkoop, Adrianus C. M. Boon, Gerrie de Mutsert, Stella E. Vogelzang-van Trierum, Ron A. M. Fouchier, Albert D. M. E. Osterhaus, Guus F. Rimmelzwaan

Abstract

Dendritic cells express lectins receptors, like DC-SIGN, which allow these cells to sense glycans that are present on various bacterial and viral pathogens. Interaction of DC-SIGN with carbohydrate moieties induces maturation of dendritic cells and promotes endocytosis of pathogens which is an important property of these professional antigen presenting cells. Uptake of pathogens by dendritic cells may lead to cross-presentation of antigens or infection of these cells, which ultimately results in activation of virus-specific T cells in draining lymph nodes. Little is known about the interaction of DC-SIGN with influenza A viruses. Here we show that a virus with a non-functional receptor binding site in its hemagglutinin, can replicate in cells expressing DC-SIGN. Also in the absence of sialic acids, which is the receptor for influenza A viruses, these viruses replicate in DC-SIGN expressing cells including human dendritic cells. Furthermore, the efficiency of DC-SIGN mediated infection is dependent on the extent of glycosylation of the viral hemagglutinin.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 12 21%
Researcher 9 16%
Student > Bachelor 4 7%
Other 3 5%
Other 6 11%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 23%
Biochemistry, Genetics and Molecular Biology 12 21%
Immunology and Microbiology 12 21%
Chemistry 4 7%
Medicine and Dentistry 3 5%
Other 3 5%
Unknown 9 16%