Classical Immunoproteomics: Serological Proteome Analysis (SERPA) for Antigen Identification

  • Kelly M. FultonEmail author
  • Anna Ananchenko
  • Lawrence Wolfraim
  • Shannon Martin
  • Susan M. Twine
Part of the Methods in Molecular Biology book series (MIMB, volume 2024)


The study of the humoral immune response to infectious and chronic diseases is important for understanding the disease progression, identification of protective antigens, vaccine development, and discovery of biomarkers for early diagnosis. Proteomic approaches, including serological proteome analysis (SERPA), have been used to identify the repertoire of immunoreactive proteins in various diseases. In this chapter, we provide an outline of the SERPA approach, using the analysis of sera from mice vaccinated with a live attenuated tularemia vaccine as an example.

Key words

SERPA Serological proteome analysis Western blotting Immunoproteomics Comparative immunoproteomics Francisella Tularemia Live vaccine strain Immunoreactivity Antigens Biomarkers 



This work was supported by federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, Contract No. HHSN266200500041C, and in part by the National Research Council, Canada. The authors thank Dr Freyja Lynn, Vicki Pierson, Kristin Debord, and Patrick Sanz (National Institutes of Allergy and Infectious Diseases); Dr J. Wayne Conlan, Luc Tessier, and Marianne Savicky (National Research Council, Canada); and Gretchen Stup (DynPort Vaccine Company) for their contributions throughout this work.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Kelly M. Fulton
    • 1
    Email author
  • Anna Ananchenko
    • 1
  • Lawrence Wolfraim
    • 2
  • Shannon Martin
    • 2
  • Susan M. Twine
    • 1
  1. 1.Human Health Therapeutics Research CentreNational Research Council of CanadaOttawaCanada
  2. 2.Dynport Vaccine Company LLCFrederickUSA

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