• Biomolecules & Therapeutics
• /
• v.30 no.6
• /
• pp.546-552
• /
• 2022

Epidermal cell adhesion molecule (EpCAM) is a tumor-associated antigen (TAA), which has been considered as a cancer vaccine candidate. The EpCAM protein fused to the fragment crystallizable region of immunoglobulin G (IgG) tagged with KDEL endoplasmic reticulum (ER) retention signal (EpCAM-FcK) has been successfully expressed in transgenic tobacco (Nicotiana tabacum cv. Xanthi) and purified from the plant leaf. In this study, we investigated the ability of the plant-derived EpCAM-FcK (EpCAM-FcK^P) to elicit an immune response in vivo. The animal group injected with the EpCAM-FcK^P showed a higher differentiated germinal center (GC) B cell population (~9%) compared with the animal group injected with the recombinant rhEpCAM-Fc chimera (EpCAM-Fc^M). The animal group injected with EpCAM-FcK^P (~42%) had more differentiated T follicular helper cells (Tfh) than the animal group injected with EpCAM-Fc^M (~7%). This study demonstrated that the plant-derived EpCAM-FcK fusion antigenic protein induced a humoral immune response in mice.

• Journal of Microbiology and Biotechnology
• /
• v.34 no.7
• /
• pp.1419-1424
• /
• 2024

Secretin PilQ is an antigenically conserved outer membrane protein that is present in most meningococci and PorA is a major protein that elicits bactericidal immune response in humans following natural disease and immunization. In the present study, BALB/c mice were immunized subcutaneously with rPilQ406-770 or rPorA together with Freund's adjuvant (FA). Serum antibody responses to serogroup A and B Neisseria meningitides whole cells or purified proteins and functional activity of antibodies were determined by ELISA and serum bactericidal assay (SBA), respectively. Serum IgG responses were significantly increased in the immunized group with rPilQ406-770 or rPorA together with FA compared to control groups. IgG antibody response of mice immunized with rPilQ406-770 was significantly more than mice immunized with rPorA (OD at 450 nm was 1.6 versus 0.83). The booster injections were effective in increasing the responses of antirPilQ406-770 or anti-rPorA IgG significantly. Antisera produced against rPilQ406-770 or rPorA demonstrated strong surface reactivity to serogroup B N. meningitides in comparison with control groups. Antisera raised against rPorA or rPilQ406-770 and FA demonstrated SBA titers from 1/1024 to 1/2048 against serogroup B. The strongest bactericidal activity was detected in sera from mice immunized with rPilQ406-770 mixed with FA. These results suggest that rPilQ406-770 is a potential vaccine candidate for serogroup B N. meningitidis.

• Journal of Veterinary Clinics
• /
• v.22 no.4
• /
• pp.386-391
• /
• 2005

This study was done to produce a mutated protein inactivated cytotoxicity of Shigatoxin 2e (Stx2e) of E.coli O139 isolates by deletional mutagenesis of Stx2e A subunit gene encoding active-site cleft of enzymatic domain in ST2e holotoxin. Cytotoxicity of the toxoid expressed from the mutant Stx2e gene was compared with wild type Stx2e for development of vaccine candidate. A recombinant plasmid pED18 containing Stx2e gene ot E.coli O139 isolates was used to generate mutation plasmid. Deletion mutagenesis was conducted for Stx2e A subunit gene encoding enzymatically active domain by polymerase chain reaction (PCR) using ot designed primer to induce deletional mutation. DNA sequence analysis was confirmed that the pentamer (Typ 202- Ser 206) that lies within the proposed active-site cleft in the second region was completely deleted. A DNA fragment of 1.1 kb that encode the new mutant Stx2eA gene was inserted into plasmid pRSET vector digested with EcoRV-Hind III and named pEDSET The PEDSET was transformed in E. coli for expression of mutant protein and the protein was confirmed by SDS-PACE and Western-blotting. The protein expressed by the mutant was tested to confirm the reduction of cytotoxic activities on Vero cell using microcytotoxicity assay compared with wild type Stx2e, the cytotoxicity of deletional mutant protein was at least reduced by 3,000-fold on Vero cell.

• Journal of Microbiology and Biotechnology
• /
• v.24 no.3
• /
• pp.363-370
• /
• 2014

Campylobacter jejuni is a prevalent foodborne pathogen worldwide. Human infection by C. jejuni primarily arises from contaminated poultry meats. Genes expressed in vivo may play an important role in the pathogenicity of C. jejuni. We applied an immunoscreening method, in vivo-induced antigen technology (IVIAT), to identify in vivo-induced genes during human infection by C. jejuni. An inducible expression library of genomic proteins was constructed from sequenced C. jejuni NCTC 11168 and was then screened using adsorbed, pooled human sera obtained from clinical patients. We successfully identified 24 unique genes expressed in vivo. These genes were implicated in metabolism, molecular biosynthesis, genetic information processing, transport, and other processes. We selected six genes with different functions to compare their expression levels in vivo and in vitro using real-time RT-PCR. The results showed that the selected six genes were significantly upregulated in vivo but not in vitro. In short, these identified in vivo-induced genes may contribute to human infection of C. jejuni, some of which may be meaningful vaccine candidate antigens or diagnosis serologic markers for campylobacteriosis. IVIAT may present a significant and efficient method for understanding the pathogenicity mechanism of Campylobacter and for finding targets for its prevention and control.

• Journal of Internet Computing and Services
• /
• v.13 no.4
• /
• pp.45-52
• /
• 2012

T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called 'knowledge-based genetic algorithm' that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.