文章基本信息

标题：Functional characterization of a monoclonal antibody epitope using a lambda phage display-deep sequencing platform
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作者：Maria Domina ; Veronica Lanza Cariccio ; Salvatore Benfatto 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2016
卷号：6
期号：1
DOI：10.1038/srep31458
语种：English
出版社：Springer Nature
摘要：We have recently described a method, named PROFILER, for the identification of antigenic regions preferentially targeted by polyclonal antibody responses after vaccination. To test the ability of the technique to provide insights into the functional properties of monoclonal antibody (mAb) epitopes, we used here a well-characterized epitope of meningococcal factor H binding protein (fHbp), which is recognized by mAb 12C1. An fHbp library, engineered on a lambda phage vector enabling surface expression of polypeptides of widely different length, was subjected to massive parallel sequencing of the phage inserts after affinity selection with the 12C1 mAb. We detected dozens of unique antibody-selected sequences, the most enriched of which (designated as FrC) could largely recapitulate the ability of fHbp to bind mAb 12C1. Computational analysis of the cumulative enrichment of single amino acids in the antibody-selected fragments identified two overrepresented stretches of residues (H248-K254 and S140-G154), whose presence was subsequently found to be required for binding of FrC to mAb 12C1. Collectively, these results suggest that the PROFILER technology can rapidly and reliably identify, in the context of complex conformational epitopes, discrete "hot spots" with a crucial role in antigen-antibody interactions, thereby providing useful clues for the functional characterization of the epitope.