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Proteins are the fastest growing class of therapeutic agents6, and the rapid expansion of biotherapeutic pipelines has focused increasing attention on the challenges associated with development and use of protein drugs. One unique consideration stems from the fact that, in a healthy and functioning immune system, all extracellular proteins are sampled by antigen presenting cells (APCs). Once internalized by APCs, a protein is cleaved into small peptide fragments, and putative immunogenic segments are loaded into the groove of class II major histocompatibility complex proteins (MHC II). The peptide-MHC II complexes are then displayed on the APC surface, and true immunogenic peptides, termed T cell epitopes, form ternary MHC II-peptide-T cell receptor complexes with cognate CD4 T cell surface receptors7. This critical molecular recognition event initiates a complex signaling cascade, which results in T cell activation, the release of cytokines, CD4 T cell-mediated B cell maturation, and ultimately production of circulating IgG antibodies that bind to and clear the offending exogenous protein. Thus, immunogenic proteins might be deimmunized by identifying constituent T cell epitopes and mutating key residues responsible for MHC II complex formation. It bears noting, however, that T cell epitopes can be numerous and broadly distributed throughout immunogenic proteins, and the majority of epitope-deleting mutations are likely to cause an inadvertent loss of protein function or stability. Therefore, engineering deimmunized biotherapies can be a complex and technically challenging objective, but there exist several examples of successful T cell epitope deletion projects3,5,8-12. Unlike grafting-based "humanization", which is largely restricted to antibody therapeutics, epitope deletion can be applied to essentially any protein target regardless of sequence, structure, function, or the availability of homologous human scaffolds. The first step to implementing such an approach is identification of key peptide epitopes embedded within the target protein sequence.
High throughput biochemical assays using synthetic peptides and recombinant human MHC II molecules can provide rapid preliminary insights into epitope identification and mitigation1,3-5. These ELISA type assays can be a powerful complement to other protein/vaccine design and development tools. For example, one well established experimental approach to epitope mapping relies on time, labor, and resource intensive ex vivo cell proliferation assays 15. Briefly, the primary sequence of a target protein is first divided into a panel of overlapping peptides, often 15-mers with 12 residues overlap between adjacent peptides. The peptide panel is chemically synthesized and the immunogenicity of each peptide is tested in one of several different immunoassays that employ peripheral blood mononuclear cells (PBMC) isolated from human donors13,14. To provide greater confidence in results, peptides are typically tested in replicate with PBMC from 50 or more different donors. In cases where deimmunization is the ultimate objective, the work is compounded further by the need to produce additional panels of mutated peptides and test the new peptide panels in PBMC assays before introducing any deimmunizing mutations into the full length protein for subsequent functional analysis10. While these cellular assays remain the gold standard for assessing immunogenic potential in human patients, the efficiency of such an exhaustive approach might be improved by prefiltering putative immunogenic epitopes using a rapid and high throughput MHC II-peptide binding assay.
Likewise, biochemical peptide-MHC II binding assays can be combined with predictive in silico methods to radically accelerate the epitope identification process. There exist a variety of computational tools for T cell epitope prediction; examples include ProPred16, MHCPred17, SVRMHC18, ARB19, SMM-align20, NetMHCIIpan21 as well as proprietary tools such as EpiMatrix by EpiVax22. Likewise, epitope predictors have recently been combined with other bioinformatics and molecular modeling tools to yield integrated protein deimmunization algorithms designed to mitigate the risk that deimmunizing mutations might disrupt protein structure and function23-26. While several epitope predictors have proven to be reasonably accurate27,28, computational results invariably require experimental validation. Rapid, high throughput, and cost effective experimental methods are best suited as a preliminary filter for in silico epitope predictions.
In a similar vein, epitope predictors can drive antigen selection for reverse vaccinology29,30. For example, advances in bioinformatics have yielded whole genome screens that rapidly identify vaccine candidates in the form of whole proteins or peptide epitopes extracted from pathogen proteomes. While this enabling technology is reshaping discovery and development of protective vaccines, it introduces a new challenge in the form of intractably large lists of immunogenic vaccine candidates. High throughput peptide-MHC II binding assays can guide epitope selection by quantifying peptide binding affinity and binding promiscuity among multiple MHC II alleles. As with protein deimmunization, such experimental methods are ultimately required to validate computational prediction of promising vaccine leads.
Here, a peptide-MHC II binding assay scaled to 384-well format is described. The protocol is highly parallelized and reduces reagent costs by 75% compared to previously described 96-well plate formats1,3-5. Using a single liquid handling robot, this method allows one researcher to easily analyze approximately ninety test peptides in triplicate over a range of eight concentrations and four MHC II allele types in less than 48 hr. This article describes the setup of one 384-well ELISA plate for analysis of seven experimental peptides against one MHC II allele, but spread sheet calculators are provided as supplemental material so as to easily scale the experiment to any number of desired peptides and/or MHC II molecules.