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Identification of novel canonical and cryptic HCMV-specific T-cell epitopes for HLA-A∗03 and HLA-B∗15 via peptide-PRISM

•HCMV-derived peptides for HLA-A∗03:01 and HLA-B∗15:01 haplotypes were identified via Ribo-seq, mass spectrometry, and machine learning.•Six novel immunogenic peptides were identified, establishing a framework for efficient detection of peptides from Ribo-seq data sets. [Display omitted] Human cytom...

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Published in:Blood advances 2024-02, Vol.8 (3), p.712-724
Main Authors: Rein, Alice Felicitas, Lauruschkat, Chris David, Muchsin, Ihsan, Köchel, Carolin, Tischer-Zimmermann, Sabine, Bauersfeld, Liane, Nelde, Annika, Lübke, Maren, Prusty, Bhupesh Kumar, Schlosser, Andreas, Halenius, Anne, Eiz-Vesper, Britta, Dölken, Lars, Grigoleit, Götz Ulrich, Einsele, Hermann, Erhard, Florian, Kraus, Sabrina
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cited_by cdi_FETCH-LOGICAL-c3250-b3783d737c96650d96cc0f1e21fb20db0e1c954ece5e026ed7f0245a95da34883
cites cdi_FETCH-LOGICAL-c3250-b3783d737c96650d96cc0f1e21fb20db0e1c954ece5e026ed7f0245a95da34883
container_end_page 724
container_issue 3
container_start_page 712
container_title Blood advances
container_volume 8
creator Rein, Alice Felicitas
Lauruschkat, Chris David
Muchsin, Ihsan
Köchel, Carolin
Tischer-Zimmermann, Sabine
Bauersfeld, Liane
Nelde, Annika
Lübke, Maren
Prusty, Bhupesh Kumar
Schlosser, Andreas
Halenius, Anne
Eiz-Vesper, Britta
Dölken, Lars
Grigoleit, Götz Ulrich
Einsele, Hermann
Erhard, Florian
Kraus, Sabrina
description •HCMV-derived peptides for HLA-A∗03:01 and HLA-B∗15:01 haplotypes were identified via Ribo-seq, mass spectrometry, and machine learning.•Six novel immunogenic peptides were identified, establishing a framework for efficient detection of peptides from Ribo-seq data sets. [Display omitted] Human cytomegalovirus (HCMV) reactivation poses a substantial risk to patients receiving tranplants. Effective risk stratification and vaccine development is hampered by a lack of HCMV-derived immunogenic peptides in patients with common HLA-A∗03:01 and HLA-B∗15:01 haplotypes. This study aimed to discover novel HCMV immunogenic peptides for these haplotypes by combining ribosome sequencing (Ribo-seq) and mass spectrometry with state-of-the-art computational tools, Peptide-PRISM and Probabilistic Inference of Codon Activities by an EM Algorithm. Furthermore, using machine learning, an algorithm was developed to predict immunogenicity based on translational activity, binding affinity, and peptide localization within small open reading frames to identify the most promising peptides for in vitro validation. Immunogenicity of these peptides was subsequently tested by analyzing peptide-specific T-cell responses of HCMV-seropositive and -seronegative healthy donors as well as patients with transplants. This resulted in the direct identification of 3 canonical and 1 cryptic HLA-A∗03–restricted immunogenic peptides as well as 5 canonical and 1 cryptic HLA-B∗15–restricted immunogenic peptide, with a specific interferon gamma–positive (IFN-γ+)/CD8+ T-cell response of ≥0.02%. High T-cell responses were detected against 2 HLA-A∗03–restricted and 3 HLA-B∗15–restricted canonical peptides with frequencies of up to 8.77% IFN-γ+/CD8+ T cells in patients after allogeneic stem cell transplantation. Therefore, our comprehensive strategy establishes a framework for efficient identification of novel immunogenic peptides from both existing and novel Ribo-seq data sets.
doi_str_mv 10.1182/bloodadvances.2023011120
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[Display omitted] Human cytomegalovirus (HCMV) reactivation poses a substantial risk to patients receiving tranplants. Effective risk stratification and vaccine development is hampered by a lack of HCMV-derived immunogenic peptides in patients with common HLA-A∗03:01 and HLA-B∗15:01 haplotypes. This study aimed to discover novel HCMV immunogenic peptides for these haplotypes by combining ribosome sequencing (Ribo-seq) and mass spectrometry with state-of-the-art computational tools, Peptide-PRISM and Probabilistic Inference of Codon Activities by an EM Algorithm. Furthermore, using machine learning, an algorithm was developed to predict immunogenicity based on translational activity, binding affinity, and peptide localization within small open reading frames to identify the most promising peptides for in vitro validation. Immunogenicity of these peptides was subsequently tested by analyzing peptide-specific T-cell responses of HCMV-seropositive and -seronegative healthy donors as well as patients with transplants. This resulted in the direct identification of 3 canonical and 1 cryptic HLA-A∗03–restricted immunogenic peptides as well as 5 canonical and 1 cryptic HLA-B∗15–restricted immunogenic peptide, with a specific interferon gamma–positive (IFN-γ+)/CD8+ T-cell response of ≥0.02%. High T-cell responses were detected against 2 HLA-A∗03–restricted and 3 HLA-B∗15–restricted canonical peptides with frequencies of up to 8.77% IFN-γ+/CD8+ T cells in patients after allogeneic stem cell transplantation. 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[Display omitted] Human cytomegalovirus (HCMV) reactivation poses a substantial risk to patients receiving tranplants. Effective risk stratification and vaccine development is hampered by a lack of HCMV-derived immunogenic peptides in patients with common HLA-A∗03:01 and HLA-B∗15:01 haplotypes. This study aimed to discover novel HCMV immunogenic peptides for these haplotypes by combining ribosome sequencing (Ribo-seq) and mass spectrometry with state-of-the-art computational tools, Peptide-PRISM and Probabilistic Inference of Codon Activities by an EM Algorithm. Furthermore, using machine learning, an algorithm was developed to predict immunogenicity based on translational activity, binding affinity, and peptide localization within small open reading frames to identify the most promising peptides for in vitro validation. 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[Display omitted] Human cytomegalovirus (HCMV) reactivation poses a substantial risk to patients receiving tranplants. Effective risk stratification and vaccine development is hampered by a lack of HCMV-derived immunogenic peptides in patients with common HLA-A∗03:01 and HLA-B∗15:01 haplotypes. This study aimed to discover novel HCMV immunogenic peptides for these haplotypes by combining ribosome sequencing (Ribo-seq) and mass spectrometry with state-of-the-art computational tools, Peptide-PRISM and Probabilistic Inference of Codon Activities by an EM Algorithm. Furthermore, using machine learning, an algorithm was developed to predict immunogenicity based on translational activity, binding affinity, and peptide localization within small open reading frames to identify the most promising peptides for in vitro validation. Immunogenicity of these peptides was subsequently tested by analyzing peptide-specific T-cell responses of HCMV-seropositive and -seronegative healthy donors as well as patients with transplants. This resulted in the direct identification of 3 canonical and 1 cryptic HLA-A∗03–restricted immunogenic peptides as well as 5 canonical and 1 cryptic HLA-B∗15–restricted immunogenic peptide, with a specific interferon gamma–positive (IFN-γ+)/CD8+ T-cell response of ≥0.02%. High T-cell responses were detected against 2 HLA-A∗03–restricted and 3 HLA-B∗15–restricted canonical peptides with frequencies of up to 8.77% IFN-γ+/CD8+ T cells in patients after allogeneic stem cell transplantation. 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2473-9537
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source PubMed (Medline); ScienceDirect Journals
subjects Cytomegalovirus
Epitopes, T-Lymphocyte
HLA-A Antigens
HLA-B Antigens
Humans
Immunobiology and Immunotherapy
Peptides
title Identification of novel canonical and cryptic HCMV-specific T-cell epitopes for HLA-A∗03 and HLA-B∗15 via peptide-PRISM
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