{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:57:35Z","timestamp":1753891055013,"version":"3.41.2"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Emerging infectious diseases pose a significant threat to both human and animal populations. Rapid <jats:italic>de novo<\/jats:italic> 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Here, we focused on <jats:italic>Actinobacillus pleuropneumoniae<\/jats:italic>, which poses a serious threat to the pig industry, and developed a general workflow by integrating proteosurfaceomics, secretomics, and BacScan technologies for the rapid <jats:italic>de novo<\/jats:italic> identification of bacterial protective proteins from a clinical isolate.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>As a proof of concept, we identified 3 novel protective proteins of <jats:italic>A. pleuropneumoniae<\/jats:italic>. Using the protective protein HBS1_14 and toxin proteins, we have developed a promising multivalent subunit vaccine against <jats:italic>A. pleuropneumoniae<\/jats:italic>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2023.1274027","type":"journal-article","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T10:20:33Z","timestamp":1701426033000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["De novo identification of bacterial antigens of a clinical isolate by combining use of proteosurfaceomics, secretomics, and BacScan 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