Open AccessProteomic analyses of the time course responses of mice infected with Brucella abortus 544 reveal immunogenic antigens
Author(s) -
Lee Jin Ju,
Simborio Hannah Leah,
Reyes Alisha Wehdnesday Bernardo,
Kim Dae Geun,
Hop Huynh Tan,
Min Wongi,
Her Moon,
Jung Suk Chan,
Yoo Han Sang,
Kim Suk
Publication year - 2014
Publication title -
fems microbiology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 151
eISSN - 1574-6968
pISSN - 0378-1097
DOI - 10.1111/1574-6968.12522
Subject(s) - immunogenicity , brucellosis , brucella , serology , yersinia enterocolitica , brucellaceae , biology , microbiology and biotechnology , antigen , virology , brucella abortus , immunology , antibody , brucella melitensis , bacteria , genetics
Brucellosis is a major zoonotic disease caused by pathogens of the genus Brucella . The eradication of brucellosis in domestic animals, associated with the prevention of human infection, can be attained through accurate diagnosis. However, the conventional serological diagnosis of brucellosis has limitations, particularly in detecting the infection period. Accordingly, the aim of this study was to determine reliable immunogenic proteins to detect Brucella abortus infection according to time course responses to aid in the appropriate management of this disease. Proteomic identification through two‐dimensional electrophoresis (2 DE ), followed by immunoblotting, revealed 13, 24, and 55 immunodominant B. abortus 544 proteins that were reactive to sera from experimentally infected mice at early (10 days), middle (30 days), and late (60 days) infection periods, respectively. After excluding several spots reactive to sera from Yersinia enterocolitica O:9‐infected and noninfected mice, 17 of the 67 immunodominant proteins were identified through MALDI ‐ TOF MS . Consequently, the identified proteins showed time course‐dependent immunogenicity against Brucella infection. Thus, the results of this study suggest that the production of immunogenic proteins during infection periods improves the diagnosis and discovery of vaccine candidates.