A New Workflow to Generate Monoclonal Antibodies against Microorganisms

Monoclonal antibodies are used worldwide as highly potent and efficient detection reagents for research diagnostic applications. Nevertheless, the specific targeting of complex antigens such whole microorganisms remains a challenge. To provide comprehensive workflow, we combined bioinformatic analyses with novel immunization selection tools to design monoclonal microorganisms. In our initial study, human pathogenic strain E. coli O157:H7 model target identified 53 potential protein candidates by using reverse vaccinology methodology. Five different peptide epitopes were selected epitope-engineered viral proteins. The identification antibody-producing hybridomas was performed screening technology based on transgenic fusion cell lines. Using an artificial surface receptor expressed all hybridomas, desired antigen-specific cells can be sorted fast efficiently out pool. Selected antibody characterized showed strong binding minor or no cross-reactivity other relevant Legionella pneumophila Bacillus ssp. This approach could useful workflow generation against