AI Article Synopsis

  • The effectiveness of CD8 T cells, crucial for T-cell immunotherapies, relies on the peptide ligands presented by Class I MHC (MHC-I) molecules, whose identification has been advanced by mass spectrometry (MS).
  • Current methods face challenges in matching MS spectra to reference proteomes due to large search spaces, which hampers the discovery of MHC ligands efficiently.
  • The authors introduced a targeted database search tool called SpectMHC, improving peptide identification over 2-fold in mouse and human studies, thereby enhancing the discovery of new T-cell epitopes for potential therapeutic applications.

Article Abstract

Class I major histocompatibility complex (MHC-I)-bound peptide ligands dictate the activation and specificity of CD8 T cells and thus are important for devising T-cell immunotherapies. In recent times, advances in mass spectrometry (MS) have enabled the precise identification of these MHC-I peptides, wherein MS spectra are compared against a reference proteome. Unfortunately, matching these spectra to reference proteome databases is hindered by inflated search spaces attributed to a lack of enzyme restriction in the searches, limiting the efficiency with which MHC ligands are discovered. Here we offer a solution to this problem whereby we developed a targeted database search approach and accompanying tool SpectMHC, that is based on a priori-predicted MHC-I peptides. We first validated the approach using MS data from two different allotype-specific immunoprecipitates for the C57BL/6 mouse background. We then developed allotype-specific HLA databases to search previously published MS data sets of human peripheral blood mononuclear cells (PBMCs). This targeted search strategy improved peptide identifications for both mouse and human ligandomes by greater than 2-fold and is superior to traditional "no enzyme" searches of reference proteomes. Our targeted database search promises to uncover otherwise missed novel T-cell epitopes of therapeutic potential.

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http://dx.doi.org/10.1021/acs.jproteome.6b00971DOI Listing

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