High-throughput identification of conditional MHCI ligands and scaled-up production of conditional MHCI complexes.

Despite the need to monitor the impact of Cancer Immunotherapy (CI)/Immuno-Oncology (IO) therapeutics on neoantigen-specific T-cell responses, very few clinical programs incorporate this aspect of immune monitoring due to the challenges in high-throughput (HTP) generation of Major Histocompatibility Complex Class I (MHCI) tetramers across a wide range of HLA alleles. This limitation was recently addressed through the development of MHCI complexes with peptides containing a nonnatural UV cleavable amino acid (conditional MHCI ligands) that enabled HTP peptide exchange upon UV exposure. Despite this advancement, the number of alleles with known conditional MHCI ligands is limited. We developed a novel workflow to enable identification and validation of conditional MHCI ligands across a range of HLA alleles. First, known peptide binders were screened via an enzyme-linked immunosorbent assay (ELISA) assay. Conditional MHCI ligands were designed using the highest-performing peptides and evaluated in the same ELISA assay. The top performers were then selected for scale-up production. Next-generation analytical techniques (LC/MS, SEC-MALS, and 2D LC/MS) were used to characterize the complex after refolding with the conditional MHCI ligands. Finally, we used 2D LC/MS to evaluate peptide exchange with these scaled-up conditional MHCI complexes after UV exposure with validated peptide binders. Successful peptide exchange was observed for all conditional MHCI ligands upon UV exposure, validating our screening approach. This approach has the potential to be broadly applied and enable HTP generation of MHCI monomers and tetramers across a wider range of HLA alleles, which could be critical to enabling the use of MHCI tetramers to monitor neoantigen-specific T-cells in the clinic.