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Carbohydrate-Based Vaccines

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Attention for Chapter 8: N -Glycosylation Fingerprinting of Viral Glycoproteins by xCGE-LIF
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Chapter title
N -Glycosylation Fingerprinting of Viral Glycoproteins by xCGE-LIF
Chapter number 8
Book title
Carbohydrate-Based Vaccines
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2874-3_8
Pubmed ID
Book ISBNs
978-1-4939-2873-6, 978-1-4939-2874-3
Authors

René Hennig, Erdmann Rapp, Robert Kottler, Samanta Cajic, Matthias Borowiak, Udo Reichl, Hennig, René, Rapp, Erdmann, Kottler, Robert, Cajic, Samanta, Borowiak, Matthias, Reichl, Udo

Abstract

The ongoing threat of pathogens, increasing resistance against antibiotics, and the risk of fast spreading of infectious diseases in a global community resulted in an intensified development of vaccines. Antigens used for vaccination comprise a wide variety of macromolecules including glycoproteins, lipopolysaccharides, and complex carbohydrates. For all of these antigens the sugar composition plays a crucial role for immunogenicity and protective efficacy of the vaccine. Here, we provide a protocol for N-glycosylation fingerprinting utilizing high performance multiplexed capillary gel electrophoresis with laser-induced fluorescence detection (xCGE-LIF) technology. The method described, enables to analyze the N-glycosylation of specific proteins out of a complex sample or even the total of all N-glycans contained in such a sample. The protocol is exemplarily demonstrated for N-glycosylation fingerprinting of cell culture-derived influenza A and B viruses and their major antigens, the membrane glycoproteins hemagglutinin and neuraminidase.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 4 17%
Student > Bachelor 2 9%
Researcher 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 39%
Chemistry 2 9%
Agricultural and Biological Sciences 2 9%
Medicine and Dentistry 2 9%
Unspecified 1 4%
Other 1 4%
Unknown 6 26%