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Pertussis, or whooping cough, is a highly contagious respiratory disease caused by Bordetella pertussis (BP). Pertactin (PRN) is one of the main immunogenic components of BP and is employed in many commercialized acellular pertussis vaccines (aPVs). Purification of this protein by conventional chromatography methods is challenging and commonly requires multiple laborious processes with low recovery. Using specific monoclonal antibodies (mAbs) for the purification of PRN antigen is expected to yield high purity and recovery of the target molecule. Recombinant PRN antigen was used to produce mouse mAbs using hybridoma technology. Structural and functional characteristics of the mAbs were assessed by ELISA, immunoblotting, and flow cytometry. Selected mAbs were employed to purify PRN by affinity chromatography, and the purity and recovery of the purified protein were analyzed by ELISA, SDS-PAGE, and immunoblotting. Moreover, ELISA and flow cytometry techniques were designed using these mAbs to detect PRN in different strains of BP. Five mAbs were produced and selected based on their reactivity with native PRN. Our results demonstrate that purification of PRN by affinity chromatography resulted in a highly pure antigen with 75-85 percent recovery. In addition, ELISA and flow cytometry results indicated that these mAbs could recognize PRN in the bacterial cell walls of different BP strains. We successfully produced PRN-specific mAbs and designed an affinity chromatography method to purify PRN antigen with higher purity and recovery than conventional methods. These mAbs could be employed as valuable tools for the detection and purification of PRN for vaccine manufacturing. Copyright © 2023 Elsevier B.V. All rights reserved.

Citation

Danyal Imani, Tannaz Bahadori, Sedighe Ghourchian, Forough Golsaz-Shirazi, Masoumeh Douraghi, Mahmood Jeddi-Tehrani, Mohammad Mehdi Amiri, Fazel Shokri. Novel mouse monoclonal antibodies against Bordetella pertussis pertactin antigen with versatile applications. Journal of microbiological methods. 2023 Aug;211:106786

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PMID: 37454935

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