Show simple item record

dc.contributor.authorDomina, Maria
dc.contributor.authorLanza Cariccio, Veronica
dc.contributor.authorBenfatto, Salvatore
dc.contributor.authorD'Aliberti, Deborah
dc.contributor.authorVenza, Mario
dc.contributor.authorBorgogni, Erica
dc.contributor.authorCastellino, Flora
dc.contributor.authorBiondo, Carmelo
dc.contributor.authorD'Andrea, Daniel
dc.contributor.authorGrassi, Luigi
dc.contributor.authorTramontano, Anna
dc.contributor.authorTeti, Giuseppe
dc.contributor.authorFelici, Franco
dc.contributor.authorBeninati, Concetta
dc.date.accessioned2016-02-21T08:51:11Z
dc.date.available2016-02-21T08:51:11Z
dc.date.issued2014-12-04
dc.identifier.citationDomina M, Lanza Cariccio V, Benfatto S, D’Aliberti D, Venza M, et al. (2014) Rapid Profiling of the Antigen Regions Recognized by Serum Antibodies Using Massively Parallel Sequencing of Antigen-Specific Libraries. PLoS ONE 9: e114159. Available: http://dx.doi.org/10.1371/journal.pone.0114159.
dc.identifier.issn1932-6203
dc.identifier.pmid25473968
dc.identifier.doi10.1371/journal.pone.0114159
dc.identifier.urihttp://hdl.handle.net/10754/596814
dc.description.abstractThere 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.
dc.description.sponsorshipFunding 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.
dc.publisherPublic Library of Science (PLoS)
dc.rightsThis is an open-access article distributed under the terms of the , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.subject.meshHigh-Throughput Nucleotide Sequencing
dc.titleRapid profiling of the antigen regions recognized by serum antibodies using massively parallel sequencing of antigen-specific libraries.
dc.typeArticle
dc.identifier.journalPLoS ONE
dc.identifier.pmcidPMC4256389
dc.contributor.institutionSPGMB Department, University of Messina, Messina, Italy.
dc.contributor.institutionSSMCSO Department, University of Messina, Messina, Italy.
dc.contributor.institutionNovartis Vaccines and Diagnostics, Siena, Italy.
dc.contributor.institutionDepartment of Physics, Sapienza University, Rome, Italy.
dc.contributor.institutionSPGMB Department, University of Messina, Messina, Italy; Charybdis Vaccines Srl, Messina, Italy.
dc.contributor.institutionDepartment of Biosciences and Territory, University of Molise, Pesche, Isernia, Italy.
kaust.grant.numberKUK I1-012-43
refterms.dateFOA2018-06-13T14:20:15Z


Files in this item

Thumbnail
Name:
PMC4256389.pdf
Size:
2.417Mb
Format:
PDF
Description:
Main article

This item appears in the following Collection(s)

Show simple item record