An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction

Identification of B-cell epitopes is a fundamental step for development of epitope-based vaccines, therapeutic antibodies, and diagnostic tools. Epitope-based antibodies are currently the most promising class of biopharmaceuticals. In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope prediction. Recently, various in silico tools are employed in attempts to predict B-cell epitopes based on sequence and/or structural data. The main objective of epitope identification is to replace an antigen in the immunization, antibody production, and serodiagnosis. The accurate identification of B-cell epitopes still presents major challenges for immunologists. Advances in B-cell epitope mapping and computational prediction have yielded molecular insights into the process of biorecognition and formation of antigen-antibody complex, which may help to localize B-cell epitopes more precisely. In this paper, we have comprehensively reviewed state-of-the-art experimental methods for B-cell epitope identification, existing databases for epitopes, and novel in silico resources and prediction tools available online. We have also elaborated new trends in the antibody-based epitope prediction. The aim of this review is to assist researchers in identification of B-cell epitopes.

Identification of B cell and T cell epitopes using synthetic peptide combinatorial libraries

This unit presents a combinatorial library method that consists of the synthesis and screening of mixture-based synthetic combinatorial libraries of peptide molecules. The protocols employ peptide libraries to identify peptides recognized by MAbs and T cells. The first protocol uses a positional scanning peptide library made up of hexapeptides to identify antigenic determinants recognized by MAbs. The 120 mixtures in the hexapeptide library are tested for their inhibitory activity in a competitive ELISA. The second protocol uses a decapeptide library to identify T cell peptide ligands. The 200 mixtures of the decapeptide library are tested for their ability to induce T cell activation. Support protocols cover optimization of the assay conditions for each MAb or T cell, to achieve the best level of sensitivity and reproducibility, and preparation of a hexapeptide library, along with deconvolution approaches.

Interrogating the repertoire: broadening the scope of peptide-MHC multimer analysis

Labelling antigen-specific T cells with peptide-MHC multimers has provided an invaluable way to monitor T cell-mediated immune responses. A number of recent developments in this technology have made these multimers much easier to make and use in large numbers. Furthermore, enrichment techniques have provided a greatly increased sensitivity that allows the analysis of the naive T cell repertoire directly. Thus, we can expect a flood of new information to emerge in the coming years.

From functional genomics to functional immunomics: new challenges, old problems, big rewards

The development of DNA microarray technology a decade ago led to the establishment of functional genomics as one of the most active and successful scientific disciplines today. With the ongoing development of immunomic microarray technology—a spatially addressable, large-scale technology for measurement of specific immunological response—the new challenge of functional immunomics is emerging, which bears similarities to but is also significantly different from functional genomics. Immunonic data has been successfully used to identify biological markers involved in autoimmune diseases, allergies, viral infections such as human immunodeficiency virus (HIV), influenza, diabetes, and responses to cancer vaccines. This review intends to provide a coherent vision of this nascent scientific field, and speculate on future research directions. We discuss at some length issues such as epitope prediction, immunomic microarray technology and its applications, and computation and statistical challenges related to functional immunomics. Based on the recent discovery of regulation mechanisms in T cell responses, we envision the use of immunomic microarrays as a tool for advances in systems biology of cellular immune responses, by means of immunomic regulatory network models.

Identification of distinct antibody epitopes and mimotopes from a peptide array of 5520 randomly generated sequences

We used a relatively small library of 5520 randomly generated single 15-mer peptides prepared by SPOT synthesis as an array of 28.5x19.0 cm to identify epitopes for three distinct monoclonal antibodies, namely anti-p24 (human immunodeficiency virus (HIV)-1) monoclonal anibody (mab) CB4-1, anti-interleukin-10 (IL-10) mab CB/RS/13, and anti-transforming growth factor alpha (TGFalpha) mab Tab2. Initially identified peptide ligands mostly had very low affinities for the antibodies with dissociation constants around 10(-4) M. Subsequent identification of residues critical for the antibody interactions involved complete L-amino acid substitutional analyses. Several substitutions resulted in analogs with dissociation constants in the low micromolar and high nanomolar range. Specifically binding peptides with key residue patterns matching the wild-type epitopes were identified for all three antibodies. In addition, for antibody CB4-1 mimotopes that showed no homology to the known epitope were selected. Our results suggest that a very limited library diversity, although far from covering the entire sequence repertoire, can suffice to rapidly and economically select peptidic antibody epitopes and mimotopes.

Multipin peptide libraries for antibody and receptor epitope screening and characterization

It has been nearly 15 years since the papers describing the fully systematic epitope mapping approach both for the so-called "continuous" epitopes [Proc. Natl. Acad. Sci. U. S. A. 81 (1984) 3998] and "discontinuous" epitopes [Mol. Immunol. 23 (1986) 709] were published. These seminal papers laid the conceptual foundation for all subsequent developments where a combinatorial approach is applied. Dr. Mario Geysen, the 2000 Kilby Laureate, can certainly lay claim to be the "father of combinatorial chemistry" (http://www.kilby.org/laureates.htm). In this review, I will focus on the aspects of the Multipin technology as they apply to antibody and receptor epitope mapping. Much of what will be presented applies equally well to other applications where peptide libraries (PepSets) and combinatorial approaches are used [Rodda, S.J., 1996. T-cell epitope mapping with synthetic peptides and peripheral blood mononuclear cells. In: Morris, G.E. (Eds.), Methods in Molecular Biology, Vol. 66: Epitope Mapping Protocols. Humana Press, Totowa, NJ, Chap. 30, p. 363; Int. J. Pept. Protein Res. 42 (1993) 384; J. Biol. Chem. 271 (1996) 5603]. Factors and techniques that influence the use of the Multipin method for successful epitope mapping will be presented.

Epitope mapping: a new method for biological evaluation and immunotoxicology

The extraordinary capacity of the immune system to recognise and distinguish between molecules that are almost identical can be exploited to generate reagents useful for the identification of specific determinants on drugs, blood-derived products, hormones, receptors or micro-organisms. This manuscript provides a rationale for the use of epitope mapping and a brief outline of its multiple applications.

Searching for pathogenic epitopes in thyroglobulin: parameters and caveats

Last year marked the 40th anniversary of the discovery that thyroglobulin (Tg) is a major autoantigen in autoimmune thyroiditis. The Tg molecule presents unique challenges for epitope mapping owing to its large size and extensive iodination. Consequently, pathogenic determinants have only recently been identified. Here, George Carayanniotis and Varada Rao summarize the approaches used to determine pathogenic Tg T-cell epitopes and discuss caveats in this unusual quest.