Rapid profiling of the antigen regions recognized by serum antibodies using massively parallel sequencing of antigen-specific libraries.

Maria Domina, Veronica Lanza Cariccio, Salvatore Benfatto, Deborah D'Aliberti, Mario Venza, Erica Borgogni, Flora Castellino, Carmelo Biondo, Daniel D'Andrea, Luigi Grassi, Anna Tramontano, Giuseppe Teti, Franco Felici, Concetta Beninati

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

There is a need for techniques capable of identifying the antigenic epitopes targeted by polyclonal antibody responses during deliberate or natural immunization. Although successful, traditional phage library screening is laborious and can map only some of the epitopes. To accelerate and improve epitope identification, we have employed massive sequencing of phage-displayed antigen-specific libraries using the Illumina MiSeq platform. This enabled us to precisely identify the regions of a model antigen, the meningococcal NadA virulence factor, targeted by serum antibodies in vaccinated individuals and to rank hundreds of antigenic fragments according to their immunoreactivity. We found that next generation sequencing can significantly empower the analysis of antigen-specific libraries by allowing simultaneous processing of dozens of library/serum combinations in less than two days, including the time required for antibody-mediated library selection. Moreover, compared with traditional plaque picking, the new technology (named Phage-based Representation OF Immuno-Ligand Epitope Repertoire or PROFILER) provides superior resolution in epitope identification. PROFILER seems ideally suited to streamline and guide rational antigen design, adjuvant selection, and quality control of newly produced vaccines. Furthermore, this method is also susceptible to find important applications in other fields covered by traditional quantitative serology.
Original languageEnglish (US)
Pages (from-to)e114159
JournalPLoS ONE
Volume9
Issue number12
DOIs
StatePublished - Dec 4 2014
Externally publishedYes

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