Abstract
Major histocompatibility complex (MHC) class I peptide motifs are used on a regular basis to identify and predict MHC class I ligands and CD8+ T-cell epitopes. This approach is above all an invaluable tool for the identification of disease-associated epitopes. As a matter of fact, the vast majority of T-cell epitopes discovered during the past two decades was identified by means of epitope prediction. Here we describe the steps which are necessary to establish MHC class I peptide motifs and to compose a reliable scoring matrix for epitope prediction. As an example, a scoring matrix for the prediction of HLA-B*35-presented T-cell epitopes will be developed by examining the characteristics of 76 naturally presented HLA ligands.
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References
Rammensee HG et al (2002) Towards patient-specific tumor antigen selection for vaccination. Immunol Rev 188:164–176
Singh-Jasuja H, Emmerich NP, Rammensee HG (2004) The Tubingen approach: identification, selection, and validation of tumor-associated HLA peptides for cancer therapy. Cancer Immunol Immunother 53(3):187–195
Germain RN, Margulies DH (1993) The biochemistry and cell biology of antigen processing and presentation. Annu Rev Immunol 11:403–450
Serwold T et al (2002) ERAAP customizes peptides for MHC class I molecules in the endoplasmic reticulum. Nature 419(6906):480–483
Germain RN (1995) The biochemistry and cell biology of antigen presentation by MHC class I and class II molecules. Implications for development of combination vaccines. Ann N Y Acad Sci 754:114–125
Falk K et al (1991) Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC molecules. Nature 351(6324):290–296
Rammensee HG, Falk K, Rotzschke O (1993) Peptides naturally presented by MHC class I molecules. Annu Rev Immunol 11:213–244
Bouvier M, Wiley DC (1994) Importance of peptide amino and carboxyl termini to the stability of MHC class I molecules. Science 265(5170):398–402
Rammensee HG, Friede T, Stevanović S (1995) MHC ligands and peptide motifs: first listing. Immunogenetics 41(4):178–228
Donnes P, Elofsson A (2002) Prediction of MHC class I binding peptides, using SVMHC. BMC Bioinformatics 3:25
Soam SS, Bhasker B, Mishra BN (2011) Improved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study. Adv Exp Med Biol 696:223–229
Rammensee H et al (1999) SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics 50(3–4):213–219
Keller BO et al (2008) Interferences and contaminants encountered in modern mass spectrometry. Anal Chim Acta 627(1):71–81
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Trautwein, N., Stevanović, S. (2013). Establishing MHC Class I Peptide Motifs. In: van Endert, P. (eds) Antigen Processing. Methods in Molecular Biology™, vol 960. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-218-6_13
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DOI: https://doi.org/10.1007/978-1-62703-218-6_13
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Publisher Name: Humana Press, Totowa, NJ
Print ISBN: 978-1-62703-217-9
Online ISBN: 978-1-62703-218-6
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