ArticlePloS one2014
Rapid profiling of the antigen regions recognized by serum antibodies using massively parallel sequencing of antigen-specific libraries.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Physicochemical convergence in antibody CDR3-VH repertoires recognizing phosphorothioate-modified oligonucleotides backbone.Frontiers in immunology · 2026Article
- ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns.Bioinformatics advances · 2024Article
- A recombinant commensal bacteria elicits heterologous antigen-specific immune responses during pharyngeal carriage.Science translational medicine · 2021Article
- Immunological fingerprint of 4CMenB recombinant antigens via protein microarray reveals key immunosignatures correlating with bactericidal activity.Nature communications · 2020Article
- An efficient ORF selection system for DNA fragment libraries based on split beta-lactamase complementation.PloS one · 2020Article
- Phage display peptide libraries: deviations from randomness and correctives.Nucleic acids research · 2018Article
- Prediction of antibody structural epitopes via random peptide library screening and next generation sequencing.Journal of immunological methods · 2017Article
- B-cell epitopes of African horse sickness virus serotype 4 recognised by immune horse sera.The Onderstepoort journal of veterinary research · 2017Article
- Functional characterization of a monoclonal antibody epitope using a lambda phage display-deep sequencing platform.Scientific reports · 2016Article
- Article
- High-throughput sequencing enhanced phage display enables the identification of patient-specific epitope motifs in serum.Scientific reports · 2015Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.