TY - JOUR
T1 - Rapid profiling of the antigen regions recognized by serum antibodies using massively parallel sequencing of antigen-specific libraries.
AU - Domina, Maria
AU - Lanza Cariccio, Veronica
AU - Benfatto, Salvatore
AU - D'Aliberti, Deborah
AU - Venza, Mario
AU - Borgogni, Erica
AU - Castellino, Flora
AU - Biondo, Carmelo
AU - D'Andrea, Daniel
AU - Grassi, Luigi
AU - Tramontano, Anna
AU - Teti, Giuseppe
AU - Felici, Franco
AU - Beninati, Concetta
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK I1-012-43
Acknowledgements: Funding for this work came from CLUSTER MEDINTECH (Project CTN01_00177_962865), PANLab (PON a3_00166), King Abdullah University of Science and Technology (Award KUK I1-012-43), Progetti di Ricerca di Rilevante Interesse Nazionale (20108XYHJS), and the Flagship EPIGEN. All funding for this project is gratefully acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/596814
UR - https://dx.plos.org/10.1371/journal.pone.0114159
UR - http://www.scopus.com/inward/record.url?scp=84956628408&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0114159
DO - 10.1371/journal.pone.0114159
M3 - Article
C2 - 25473968
SN - 1932-6203
VL - 9
SP - e114159
JO - PLoS ONE
JF - PLoS ONE
IS - 12
ER -