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Vaccination with M2e-Based Multiple Antigenic Peptides: Characterization of the B Cell Response and Protection Efficacy in Inbred and Outbred Mice

Overview of attention for article published in PLOS ONE, December 2011
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Title
Vaccination with M2e-Based Multiple Antigenic Peptides: Characterization of the B Cell Response and Protection Efficacy in Inbred and Outbred Mice
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028445
Pubmed ID
Authors

Amaya I. Wolf, Krystyna Mozdzanowska, Katie L. Williams, David Singer, Monique Richter, Ralf Hoffmann, Andrew J. Caton, Laszlo Otvos, Jan Erikson

Abstract

The extracellular domain of the influenza A virus protein matrix protein 2 (M2e) is remarkably conserved between various human isolates and thus is a viable target antigen for a universal influenza vaccine. With the goal of inducing protection in multiple mouse haplotypes, M2e-based multiple antigenic peptides (M2e-MAP) were synthesized to contain promiscuous T helper determinants from the Plasmodium falciparum circumsporozoite protein, the hepatitis B virus antigen and the influenza virus hemagglutinin. Here, we investigated the nature of the M2e-MAP-induced B cell response in terms of the distribution of antibody (Ab) secreting cells (ASCs) and Ab isotypes, and tested the protective efficacy in various mouse strains.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 15 28%
Student > Master 7 13%
Student > Doctoral Student 5 9%
Student > Bachelor 4 8%
Other 0 0%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Biochemistry, Genetics and Molecular Biology 9 17%
Immunology and Microbiology 8 15%
Medicine and Dentistry 7 13%
Chemistry 2 4%
Other 4 8%
Unknown 7 13%