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DOI 10.1002/eji.201545989

Медицинская библиотека · European journal of immunology · 2016

CD8(+) T cells of Listeria monocytogenes-infected mice recognize both linear and spliced proteasome products.

Platteel Anouk C M, Mishto Michele, Textoris-Taube Kathrin, Keller Christin, Liepe Juliane, Busch Dirk H, Kloetzel Peter M, Sijts Alice J A M

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Аннотация

CD8(+) T cells responding to infection recognize pathogen-derived epitopes presented by MHC class-I molecules. While most of such epitopes are generated by proteasome-mediated antigen cleavage, analysis of tumor antigen processing has revealed that epitopes may also derive from proteasome-catalyzed peptide splicing (PCPS). To determine whether PCPS contributes to epitope processing during infection, we analyzed the fragments produced by purified proteasomes from a Listeria monocytogenes polypeptide. Mass spectrometry identified a known H-2K(b) -presented linear epitope (LLO296-304 ) in the digests, as well as four spliced peptides that were trimmed by ERAP into peptides with in silico predicted H-2K(b) binding affinity. These spliced peptides, which displayed sequence similarity with LLO296-304 , bound to H-2K(b) molecules in cellular assays and one of the peptides was recognized by CD8(+) T cells of infected mice. This spliced epitope differed by one amino acid from LLO296-304 and double staining with LLO296-304 - and spliced peptide-folded MHC multimers showed that LLO296-304 and its spliced variant were recognized by the same CD8(+) T cells. Thus, PCPS multiplies the variety of peptides that is processed from an antigen and leads to the production of epitope variants that can be recognized by cross-reacting pathogen-specific CD8(+) T cells. Such mechanism may reduce the chances for pathogen immune evasion.

Для цитирования: Platteel Anouk C M, Mishto Michele, Textoris-Taube Kathrin, Keller Christin, Liepe Juliane, Busch Dirk H, Kloetzel Peter M, Sijts Alice J A M. CD8(+) T cells of Listeria monocytogenes-infected mice recognize both linear and spliced proteasome products.. European journal of immunology. 2016. DOI: 10.1002/eji.201545989.

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