As we are continually confronted by the devastating effects of emerging and re-emerging diseases such as malaria, multidrug-resistant tuberculosis, and HIV, research and development to find effective vaccines is becoming more important than ever.
Recombinant proteins in combination with novel adjuvants, so-called subunit vaccines, have become a major focus. Creation of these vaccines depends on the identification of appropriate subunit antigens (or epitopes) that the immune system can effectively target. Genomic and proteomic-based technologies are used to identify a number of antigen candidates, from which immunogenic, well-defined antigens can then be chosen for further development.
The criteria to select such antigens depends on certain characteristics such as pathogen conservation, human immunogenicity without compromising safety, and, in many cases, induction of functional antibodies.
Methods to rapidly and efficiently evaluate protein antigenicity are central to the identification of appropriate targets from a large number of antigen candidates, especially regarding the extent to which these candidates can be recognized by the adaptive immune system through T- and B-cell responses.
To address this requirement, ProImmune has developed a rapid antigen-characterization platform that encompasses B-cell epitope prediction and B-cell linear epitope mapping service modules, both of which result in a relative ranking of antigenic regions within proteins or between different proteins in a group.
The T-cell epitope identification and validation process employs MHC-peptide binding and rate assays, antigen-specific T-cell detection by flow cytometry in both preclinical animal models and human samples, and functional cellular assay services such as ELISpot and intracellular cytokine staining. Additionally, assessment of the relative antigenicity of candidate subunit vaccines is enabled by naïve T cell and dendritic cell (DC) -T cell proliferation assays.
Defining and Ranking B-Cell Epitopes
ProImmune’s B-cell epitope prediction system is based on primary protein sequence and, where available, three-dimensional structure data. It uses an intelligent consensus approach that employs a collection of up-to-date public domain and commercially licensed scientific databases and software. Importantly, this method can also be used to compare different clinical strains of the organism, to discover whether the putative epitopes are conserved.
The system also allows screening of overlapping peptides generated from the pathogen protein sequences of interest, against samples of serum from patients with a well-characterized response. These results can then define and rank B-cell linear epitopes. This approach identifies antigens that are expressed during the course of the disease, a prerequisite of a subunit vaccine for conferring protection.
In the human immune system, different cells are responsible for specific types of immune responses. Cytotoxic (CD8+) T-cell responses kill infected target cells, whereas helper (CD4+) T cells provide help to memory B cells producing antibodies. Those cells mount their immune responses by recognizing MHC-epitope complexes on the surface of target cells. The discovery and characterization of these T-cell epitopes is challenging, and the limitations of traditional methods that rely on functional cellular assays make projects labor intensive and time consuming.
To address these issues, ProImmune has developed technologies that allow screening of any protein for T-cell epitopes in weeks, instead of months or years. The technology combines cell-free in vitro Reveal™ MHC-peptide binding and rate assays with the synthesis of ProVE® MHC Class I Pentamers for conclusive confirmation of epitopes on vaccine clinical cell samples. Class II epitopes can be validated using a suite of comprehensive functional assays.
The approach determines the exact binding sequence and MHC restriction of the potential epitope in a single step and the likelihood of a peptide being presented long enough for it to represent a good T-cell epitope. This pivotal information can be combined with binding assay data to identify which peptide-epitopes will be important in the vaccine development strategy. Furthermore, if cell samples are in limited supply for final epitope validation, rate assay data can be used to prioritize candidates, resulting in the use of smaller sample volumes. This enables subunit vaccine discovery projects to progress rapidly and economically.