Literature DB >> 15744535

The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage.

Morten Nielsen1, Claus Lundegaard, Ole Lund, Can Keşmir.   

Abstract

Cytotoxic T cells (CTLs) perceive the world through small peptides that are eight to ten amino acids long. These peptides (epitopes) are initially generated by the proteasome, a multi-subunit protease that is responsible for the majority of intra-cellular protein degradation. The proteasome generates the exact C-terminal of CTL epitopes, and the N-terminal with a possible extension. CTL responses may diminish if the epitopes are destroyed by the proteasomes. Therefore, the prediction of the proteasome cleavage sites is important to identify potential immunogenic regions in the proteomes of pathogenic microorganisms (or humans). We have recently shown that NetChop, a neural network-based prediction method, is the best method available at the moment to do such predictions; however, its performance is still lower than desired. Here, we use novel sequence encoding methods and show that the new version of NetChop predicts approximately 10% more of the cleavage sites correctly while lowering the number of false positives with close to 15%. With this more reliable prediction tool, we study two important questions concerning the function of the proteasome. First, we estimate the N-terminal extension of epitopes after proteasomal cleavage and find that the average extension is relatively short. However, more than 30% of the peptides have N-terminal extensions of three amino acids or more, and thus, N-terminal trimming might play an important role in the presentation of a substantial fraction of the epitopes. Second, we show that good TAP ligands have an increased chance of being cleaved by the proteasome, i.e., the specificity of TAP has evolved to fit the specificity of the proteasome. This evolutionary relationship allows for a more efficient antigen presentation.

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Year:  2005        PMID: 15744535     DOI: 10.1007/s00251-005-0781-7

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  29 in total

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Authors:  H Rammensee; J Bachmann; N P Emmerich; O A Bachor; S Stevanović
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2.  An algorithm for the prediction of proteasomal cleavages.

Authors:  C Kuttler; A K Nussbaum; T P Dick; H G Rammensee; H Schild; K P Hadeler
Journal:  J Mol Biol       Date:  2000-05-05       Impact factor: 5.469

Review 3.  The function of the proteasome system in MHC class I antigen processing.

Authors:  L Stoltze; A K Nussbaum; A Sijts; N P Emmerich; P M Kloetzel; H Schild
Journal:  Immunol Today       Date:  2000-07

4.  Predicting proteasomal cleavage sites: a comparison of available methods.

Authors:  Patricia Saxová; Søren Buus; Søren Brunak; Can Keşmir
Journal:  Int Immunol       Date:  2003-07       Impact factor: 4.823

5.  A major role for TPPII in trimming proteasomal degradation products for MHC class I antigen presentation.

Authors:  Eric Reits; Joost Neijssen; Carla Herberts; Willemien Benckhuijsen; Lennert Janssen; Jan Wouter Drijfhout; Jacques Neefjes
Journal:  Immunity       Date:  2004-04       Impact factor: 31.745

6.  A theoretical approach towards the identification of cleavage-determining amino acid motifs of the 20 S proteasome.

Authors:  H G Holzhütter; C Frömmel; P M Kloetzel
Journal:  J Mol Biol       Date:  1999-03-05       Impact factor: 5.469

7.  Cleavage motifs of the yeast 20S proteasome beta subunits deduced from digests of enolase 1.

Authors:  A K Nussbaum; T P Dick; W Keilholz; M Schirle; S Stevanović; K Dietz; W Heinemeyer; M Groll; D H Wolf; R Huber; H G Rammensee; H Schild
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Review 8.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
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Review 9.  Peptide selection for presentation by HLA class I: a role for the human transporter associated with antigen processing?

Authors:  P M van Endert
Journal:  Immunol Res       Date:  1996       Impact factor: 2.829

10.  Discrete cleavage motifs of constitutive and immunoproteasomes revealed by quantitative analysis of cleavage products.

Authors:  R E Toes; A K Nussbaum; S Degermann; M Schirle; N P Emmerich; M Kraft; C Laplace; A Zwinderman; T P Dick; J Müller; B Schönfisch; C Schmid; H J Fehling; S Stevanovic; H G Rammensee; H Schild
Journal:  J Exp Med       Date:  2001-07-02       Impact factor: 14.307

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  176 in total

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Journal:  Expert Rev Vaccines       Date:  2012-01       Impact factor: 5.217

Review 2.  Major histocompatibility complex class I binding predictions as a tool in epitope discovery.

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Journal:  Immunology       Date:  2010-05-26       Impact factor: 7.397

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Journal:  Vaccine       Date:  2010-03-26       Impact factor: 3.641

4.  Mapping the landscape of host-pathogen coevolution: HLA class I binding and its relationship with evolutionary conservation in human and viral proteins.

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5.  MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.

Authors:  Juan Cui; Lian Yi Han; Hong Huang Lin; Zhi Qun Tang; Li Jiang; Zhi Wei Cao; Yu Zong Chen
Journal:  Immunogenetics       Date:  2006-07-11       Impact factor: 2.846

6.  Identification of CTL epitopes in hepatitis C virus by a genome-wide computational scanning and a rational design of peptide vaccine.

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Journal:  Immunogenetics       Date:  2007-01-16       Impact factor: 2.846

7.  Tumor exome analysis reveals neoantigen-specific T-cell reactivity in an ipilimumab-responsive melanoma.

Authors:  Nienke van Rooij; Marit M van Buuren; Daisy Philips; Arno Velds; Mireille Toebes; Bianca Heemskerk; Laura J A van Dijk; Sam Behjati; Henk Hilkmann; Dris El Atmioui; Marja Nieuwland; Michael R Stratton; Ron M Kerkhoven; Can Kesmir; John B Haanen; Pia Kvistborg; Ton N Schumacher
Journal:  J Clin Oncol       Date:  2013-09-16       Impact factor: 44.544

8.  Human self-protein CD8+ T-cell epitopes are both positively and negatively selected.

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Journal:  Eur J Immunol       Date:  2009-04       Impact factor: 5.532

Review 9.  Current tools for predicting cancer-specific T cell immunity.

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Journal:  Oncoimmunology       Date:  2016-04-25       Impact factor: 8.110

Review 10.  HIV-1 vaccine development after STEP.

Authors:  Dan H Barouch; Bette Korber
Journal:  Annu Rev Med       Date:  2010       Impact factor: 13.739

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