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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
Published on: March 24, 2017
Plug-and-(Dis)Play Epitope Engineering on Ring-like Particles: Rational Design of Multivalent Immunoreagents for
Carla J Goldin1,2, Analía Boudgouste1,2, Joaquín Rasch3
1Centro de Rediseño e Ingeniería de Proteínas, Escuela de Bio y Nanotecnologías, UNSAM, General San Martín, Buenos Aires Province, Argentina.
A new modular antigen-display platform using self-assembling ring-like particles (RLPs) creates stable, specific diagnostic reagents. This approach enables reliable detection and differentiates vaccinated animals, offering a versatile tool for infectious disease diagnostics.
Area of Science:
- Biotechnology
- Immunology
- Veterinary Diagnostics
Background:
- Serological diagnostics require stable, specific, and scalable antigens.
- Full-length viral glycoproteins often present challenges in stability, expression, and specificity.
Purpose of the Study:
- To develop a modular antigen-display platform for creating stable, multivalent diagnostic reagents.
- To engineer a novel immunoreagent for Suid herpesvirus 1 (SuHV-1) glycoprotein E (gE) for DIVA (Differentiating Infected from Vaccinated Animals) applications.
Main Methods:
- Rational selection of immunodominant epitopes from SuHV-1 gE using IEDB and BepiPred-3.0.
- Grafting selected epitopes onto self-assembling ring-like particles (RLPs) to form a multiepitope construct (RLP-Epi).
- Characterization of RLP-Epi stability, assembly, and immunoreactivity using ELISA and ROC analysis.
Main Results:
- RLP-Epi assembled into stable, homogeneous ∼18 nm particles with solvent-exposed epitopes.
- The construct demonstrated specific recognition by anti-gE antibodies and high sensitivity and specificity in ELISA formats.
- RLP-Epi showed no reactivity with vaccinated-only sera, confirming DIVA compatibility.
Conclusions:
- RLP-based epitope engineering provides a generalizable framework for designing stable, modular diagnostic antigens.
- This platform facilitates the development of DIVA-compatible diagnostics adaptable to emerging viral variants.
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