A simple cost-effective method for purification of Clostridium chauvoei cell-surface proteins for detection of antibodies against blackleg disease vaccine
محل انتشار: گفتمان پژوهش دامپزشکی، دوره: 16، شماره: 1
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 106
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شناسه ملی سند علمی:
JR_VRFAN-16-1_008
تاریخ نمایه سازی: 6 بهمن 1403
چکیده مقاله:
Cell-surface proteins of Clostridium chauvoei were purified using a simple method. Bacterial cultures were centrifuged and agitated vigorously in phosphate buffered saline with or without further glycine treatment and ammonium sulfate precipitation. Rabbits were immunized subcutaneously with a blackleg disease vaccine twice with a two-week interval. Immunized sera were collected one week after the second injection. Enzyme-linked immunosorbent assay (ELISA) was performed using the proteins purified by the second method as the coating antigen. Bradford assay results showed a higher protein concentration in the second than the first method. Sodium dodecyl-sulfate polyacrylamide gel electrophoresis analysis showed multiple bands for the cell-surface proteins of C. chauvoei in the first method and a sharp band equivalent to flagellin protein in the second method. The ELISA results indicated that the purified proteins were capable of detecting antibodies against Blackleg disease vaccine. The purified protein would be an alternative antigen for indirect ELISA in order to monitor the immune response in vaccinated farm animals.
کلیدواژه ها:
نویسندگان
Niusha Adib
Department of Biology, School of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Azadeh Zahmatkesh
Department of Anaerobic Bacterial Vaccines Research and Production, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
Masoumeh Bagheri
Department of Honeybee, Silk Worm and Wildlife Diseases, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
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