Codon arrangement modulates MHC-I peptides presentation

MHC-I associated peptides (MAPs) play a central role in the elimination of virus-infected and neoplastic cells by CD8 T cells. However, accurately predicting the MAP repertoire remains difficult, because only a fraction of the transcriptome generates MAPs. In this study, we investigated whether codon arrangement (usage and placement) regulates MAP biogenesis. We developed an artificial neural network called Codon Arrangement MAP Predictor (CAMAP), predicting MAP presentation solely from mRNA sequences flanking the MAP coding regions, while excluding the MAP-coding codons . CAMAP predictions were significantly more accurate when using codon sequences than amino acid sequences. Furthermore, predictions were independent of mRNA expression and MAP binding affinity to MHC-I molecules, and applied to several cell types and species. Combining MAP binding affinity, transcript expression level and CAMAP scores was particularly useful to ameliorate predictions of MAP derived from lowly expressed transcripts. Using an assay, we showed that varying the synonymous codons in the regions flanking MAP sequences (without changing the amino acid sequence) resulted in significant modulation of MAP presentation at the cell surface. Taken together, our results demonstrate the role of codon arrangement in the regulation of MAP presentation and support integration of both translational and post-translational events in predictive algorithms to ameliorate modeling of the immunopeptidome.