De novo identification of bacterial antigens of a clinical isolate by combining use of proteosurfaceomics, secretomics, and BacScan technologies
Emerging infectious diseases pose a significant threat to both human and animal populations. Rapid identification of protective antigens from a clinical isolate and development of an antigen-matched vaccine is a golden strategy to prevent the spread of emerging novel pathogens. Here, we focused on ,...
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Veröffentlicht in: | Frontiers in immunology 2023-11, Vol.14, p.1274027-1274027 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Emerging infectious diseases pose a significant threat to both human and animal populations. Rapid
identification of protective antigens from a clinical isolate and development of an antigen-matched vaccine is a golden strategy to prevent the spread of emerging novel pathogens.
Here, we focused on
, which poses a serious threat to the pig industry, and developed a general workflow by integrating proteosurfaceomics, secretomics, and BacScan technologies for the rapid
identification of bacterial protective proteins from a clinical isolate.
As a proof of concept, we identified 3 novel protective proteins of
. Using the protective protein HBS1_14 and toxin proteins, we have developed a promising multivalent subunit vaccine against
.
We believe that our strategy can be applied to any bacterial pathogen and has the potential to significantly accelerate the development of antigen-matched vaccines to prevent the spread of an emerging novel bacterial pathogen. |
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ISSN: | 1664-3224 1664-3224 |
DOI: | 10.3389/fimmu.2023.1274027 |