Phage display technologies were used to produce single-chain antibodies (scFv) against breast cancer cell line (MCF-7). The mouse B cell hybridoma line C3A8 was the starting material, which generates a monoclonal antibody against breast cancer cells (MCF-7). The best candidate scFv sequences, based on (ELISA) screening data were sub-cloned into HB2151 host strain. The scFv gene was expressed in E. coli cytoplasm for further analysis. The purified scFv protein was characterized using western blot, flow Cytometery, indirect ELISA and immunofluorescence tests. Bioinformatics tools were used to predict heavy (VH) and light (VL) chains models. In the results, the protein was showed specific binding toward MCF-7 cells line when a band of 68kD was appeared in Western blot test. Further, scFv clearly recognized the MCF-7 antigen epitopes in immuno-fluorescence test. Additionally, 99% of the cells numbers were bound to scFv protein as measured by flow cytometery analysis. The predicted structures of heavy and light chains were found to be acceptable and were used to predict sequential epitopes that docked against epidermal growth factor receptor on surface of MCF-7. Herein, the recombinant antibody technology is a rapid and effective approach to next generation of cancer diagnosis and immunotherapy.
Generation and immune-characterization of single chain fragment variable (scFv) antibody recognize breast cancer cells line (MCF-7)
Ilham Mahgoub
Ahmed K Bolad
Mohamed Mergani
Corresponding author.
Supplement
Abstracts of the Updates on Immunotherapy of Cancer and Immunoscore Symposium: Abstracts (Sidra Symposia Series)
Carl Ruby
Publication of this supplement was funded by Sidra Medical and Research Center. The Supplement Editor declares that he has no competing interests.
Conference
22-23 January 2014
Updates on Immunotherapy of Cancer and Immunoscore Symposium, part of the Sidra Symposia Series, held in partnership with the Society for Immunotherapy of Cancer
Doha, Qatar
Collection date 2014.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
