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Protein and Sugar Export and Assembly in Gram-positive Bacteria

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Attention for Chapter 50: Surface and Exoproteomes of Gram-Positive Pathogens for Vaccine Discovery
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Chapter title
Surface and Exoproteomes of Gram-Positive Pathogens for Vaccine Discovery
Chapter number 50
Book title
Protein and Sugar Export and Assembly in Gram-positive Bacteria
Published in
Current topics in microbiology and immunology, January 2016
DOI 10.1007/82_2016_50
Pubmed ID
Book ISBNs
978-3-31-956012-0, 978-3-31-956014-4
Authors

Massimiliano Biagini, Fabio Bagnoli, Nathalie Norais, Biagini, Massimiliano, Bagnoli, Fabio, Norais, Nathalie

Abstract

Reverse vaccinology has been very successful in the discovery of vaccine candidates against many pathogenic bacteria by integrating genome and proteome mining. This great achievement was facilitated by the complementarity of the in silico prediction of antigens and the empirical data on protein localization, expression, and immunogenicity obtained through different techniques based on electrophoresis, immunoblotting and mass spectrometry. An iterative process between information provided by DNA sequence analysis and proteomic data has been established leading to precise antigen identification. In this review, we report how the identification of surface and exoproteomes of Gram-positive pathogens have contributed to the selection of vaccine candidates. Moreover, we show how quantitative mass spectrometry is now paving the way for identifying protective antigens that play key roles during infection and represent the most promising vaccine targets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Postgraduate 2 15%
Researcher 2 15%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Medicine and Dentistry 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Other 0 0%
Unknown 4 31%