Literature DB >> 27977922

Proteome Analysis Is a Valuable Tool to Monitor Antigen Expression during Upstream Processing of Whole-Cell Pertussis Vaccines.

Bernard Metz1, Marieke Hoonakker1, Joost P Uittenbogaard1, Michel Weyts1, Geert P M Mommen1, Hugo D Meiring1, Wichard Tilstra1, Jeroen L A Pennings2, Leo A van der Pol1, Betsy Kuipers2, Arjen Sloots1, Jan van den IJssel1, Bas van de Waterbeemd1, Arno van der Ark1.   

Abstract

Physicochemical and immunochemical assays were applied to substantiate the relation between upstream processing and the quality of whole-cell pertussis vaccines. Bordetella pertussis bacteria were cultured on a chemically defined medium using a continuous cultivation process in stirred tank reactors to obtain uniform protein expression. Continuous culture favors the consistent production of proteins known as virulence factors. Magnesium sulfate was added during the steady state of the culture in order to diminish the expression of virulence proteins. Changes in gene expression and antigen composition were measured by microarrays, mass spectrometry and ELISA. Transcriptome and proteome data revealed high similarity between the biological triplicates demonstrating consistent cultivation of B. pertussis. The addition of magnesium sulfate resulted in an instant downregulation of the virulence genes in B. pertussis, but a gradual decrease of virulence proteins. The quantity of virulence proteins concurred highly with the potency of the corresponding whole-cell pertussis vaccines, which were determined by the Kendrick test. In conclusion, proteome analysis provided detailed information on the composition and proportion of virulence proteins present in the whole-cell preparations of B. pertussis. Moreover, proteome analysis is a valuable method to monitor the production process of whole-cell biomass and predict the product quality of whole-cell pertussis vaccines.

Entities:  

Keywords:  ELISA; LC−MS; continuous fermentation; microarray; potency; quality control; vaccine; whole-cell pertussis

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Year:  2016        PMID: 27977922     DOI: 10.1021/acs.jproteome.6b00668

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

Review 1.  Systems vaccinology and big data in the vaccine development chain.

Authors:  René H M Raeven; Elly van Riet; Hugo D Meiring; Bernard Metz; Gideon F A Kersten
Journal:  Immunology       Date:  2018-11-13       Impact factor: 7.397

2.  Transcriptome and proteome analysis of innate immune responses to inactivated Leptospira and bivalent Leptospira vaccines in canine 030-D cells.

Authors:  Andreja Novak; Jeroen L A Pennings; Larissa van der Maas; Hugo D Meiring; Irene Ludwig; Saertje Verkoeijen; Victor Rutten; Femke Broere; Arjen Sloots
Journal:  Sci Rep       Date:  2022-08-04       Impact factor: 4.996

3.  Proteomic analysis of chicken bone marrow-derived dendritic cells in response to an inactivated IBV + NDV poultry vaccine.

Authors:  Robin H G A van den Biggelaar; Larissa van der Maas; Hugo D Meiring; Jeroen L A Pennings; Willem van Eden; Victor P M G Rutten; Christine A Jansen
Journal:  Sci Rep       Date:  2021-06-16       Impact factor: 4.379

  3 in total

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