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• W2020094908 abstract "The identification of suitable antigens is crucial to successful vaccine development based on subunit approaches. While many methods exist for the identification of vaccine candidates which are surface-exposed or secreted, immunogenic and conserved, contain B and T cell epitopes, most of these have a major drawback: they do not yield any information on whether the antigen is indeed expressed by the pathogen during infection. However, DNA microarrays offer a novel tool for the investigation of the transcriptional activity of all genes of a pathogenic microorganism under in vivo conditions. Employing whole genome DNA microarrays, we have analyzed the transcriptome of Neisseria meningitidis serogroup B bacteria during different stages of infection, i.e. exposure to human serum and the interaction with human epithelial and endothelial cells. Combined with data derived from genome-based approaches (such as reverse vaccinology) and immunogenicity studies, this novel transcriptome-based antigen identification should reveal ideal vaccine candidates against serogroup B meningococcal infection." @default.
• W2020094908 created "2016-06-24" @default.
• W2020094908 creator A5059135653 @default.
• W2020094908 date "2003-01-30" @default.
• W2020094908 modified "2023-10-18" @default.
• W2020094908 title "Transcriptome-based antigen identification for Neisseria meningitidis" @default.
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• W2020094908 doi "https://doi.org/10.1016/s0264-410x(02)00596-0" @default.
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