bioRxivBioinformaticsPreprint
Rigorous estimation of post-translational proteasomal splicing in the immunopeptidome
Kamil J. CyganiD, Ehdieh KhaledianiD, Lili M. BlumenbergiD, Robert R. SalzleriD, Darshit ShahiD, William C. OlsoniD, Lynn E. MacdonaldiD, Andrew J. MurphyiD, Ankur DhanikiD
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Abstract
Recently, de novo peptide sequencing has made it possible to gain new insights into the human immunopeptidome without relying on peptide databases, while identifying peptides of unknown origin. Many recent studies have attributed post-translational proteasomal splicing as the origin of those peptides. Here, we describe a peptide source assignment workflow to rigorously assign the source of de novo sequenced peptides and find that the estimated extent of post-translational splicing in the immunopeptidome is much lower than previously reported. Our approach demonstrates that many peptides that were thought to be post-translationally spliced are likely linear peptides, and many peptides that were thought to be trans-spliced could be cis-spliced. We believe our approach furthers the understanding of post-translationally spliced peptides and thus improves the characterization of immunopeptidome which plays a critical role in the immune response to antigens in cancer, autoimmune disease, and infections.
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