Literature DB >> 33633736

Discordance Between the Predicted Versus the Actually Recognized CD8+ T Cell Epitopes of HCMV pp65 Antigen and Aleatory Epitope Dominance.

Alexander A Lehmann1, Ting Zhang1, Pedro A Reche2, Paul V Lehmann1.   

Abstract

CD8+ T cell immune monitoring aims at measuring the size and functions of antigen-specific CD8+ T cell populations, thereby providing insights into cell-mediated immunity operational in a test subject. The selection of peptides for ex vivo CD8+ T cell detection is critical because within a complex antigen exists a multitude of potential epitopes that can be presented by HLA class I molecules. Further complicating this task, there is HLA class I polygenism and polymorphism which predisposes CD8+ T cell responses towards individualized epitope recognition profiles. In this study, we compare the actual CD8+ T cell recognition of a well-characterized model antigen, human cytomegalovirus (HCMV) pp65 protein, with its anticipated epitope coverage. Due to the abundance of experimentally defined HLA-A*02:01-restricted pp65 epitopes, and because in silico epitope predictions are most advanced for HLA-A*02:01, we elected to focus on subjects expressing this allele. In each test subject, every possible CD8+ T cell epitope was systematically covered testing 553 individual peptides that walk the sequence of pp65 in steps of single amino acids. Highly individualized CD8+ T cell response profiles with aleatory epitope recognition patterns were observed. No correlation was found between epitopes' ranking on the prediction scale and their actual immune dominance. Collectively, these data suggest that accurate CD8+ T cell immune monitoring may necessitate reliance on agnostic mega peptide pools, or brute force mapping, rather than electing individual peptides as representative epitopes for tetramer and other multimer labeling of surface antigen receptors.
Copyright © 2021 Lehmann, Zhang, Reche and Lehmann.

Entities:  

Keywords:  ELISPOT; ImmunoSpot; brute force epitope mapping; epitope prediction; high throughput

Mesh:

Substances:

Year:  2021        PMID: 33633736      PMCID: PMC7900545          DOI: 10.3389/fimmu.2020.618428

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


  48 in total

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Authors:  Pedro A Reche; Hong Zhang; John-Paul Glutting; Ellis L Reinherz
Journal:  Bioinformatics       Date:  2005-01-18       Impact factor: 6.937

2.  Major contribution of codominant CD8 and CD4 T cell epitopes to the human cytomegalovirus-specific T cell repertoire.

Authors:  M-D Nastke; L Herrgen; S Walter; D Wernet; H-G Rammensee; S Stevanović
Journal:  Cell Mol Life Sci       Date:  2005-01       Impact factor: 9.261

3.  Ex vivo expansion of human cytomegalovirus-specific cytotoxic T cells by recombinant polyepitope: implications for HCMV immunotherapy.

Authors:  Michael Rist; Leanne Cooper; Rebecca Elkington; Susan Walker; Chrysa Fazou; Judy Tellam; Tania Crough; Rajiv Khanna
Journal:  Eur J Immunol       Date:  2005-03       Impact factor: 5.532

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Authors:  T M Williams
Journal:  J Mol Diagn       Date:  2001-08       Impact factor: 5.568

5.  Herpesvirus-specific CD8 T cell immunity in old age: cytomegalovirus impairs the response to a coresident EBV infection.

Authors:  Naeem Khan; Andrew Hislop; Nancy Gudgeon; Mark Cobbold; Rajiv Khanna; Laxman Nayak; Alan B Rickinson; Paul A H Moss
Journal:  J Immunol       Date:  2004-12-15       Impact factor: 5.422

Review 6.  Present Yourself! By MHC Class I and MHC Class II Molecules.

Authors:  Kenneth L Rock; Eric Reits; Jacques Neefjes
Journal:  Trends Immunol       Date:  2016-09-07       Impact factor: 16.687

7.  Comprehensive Evaluation of the Expressed CD8+ T Cell Epitope Space Using High-Throughput Epitope Mapping.

Authors:  Paul V Lehmann; Maneewan Suwansaard; Ting Zhang; Diana R Roen; Greg A Kirchenbaum; Alexey Y Karulin; Alexander Lehmann; Pedro A Reche
Journal:  Front Immunol       Date:  2019-04-26       Impact factor: 7.561

8.  High-throughput determination of the antigen specificities of T cell receptors in single cells.

Authors:  Shu-Qi Zhang; Ke-Yue Ma; Alexandra A Schonnesen; Mingliang Zhang; Chenfeng He; Eric Sun; Chad M Williams; Weiping Jia; Ning Jiang
Journal:  Nat Biotechnol       Date:  2018-11-12       Impact factor: 54.908

9.  Multiplex Identification of Antigen-Specific T Cell Receptors Using a Combination of Immune Assays and Immune Receptor Sequencing.

Authors:  Mark Klinger; Francois Pepin; Jen Wilkins; Thomas Asbury; Tobias Wittkop; Jianbiao Zheng; Martin Moorhead; Malek Faham
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

10.  A Positive Control for Detection of Functional CD4 T Cells in PBMC: The CPI Pool.

Authors:  Annemarie Schiller; Ting Zhang; Ruliang Li; Andrea Duechting; Srividya Sundararaman; Anna Przybyla; Stefanie Kuerten; Paul V Lehmann
Journal:  Cells       Date:  2017-12-07       Impact factor: 6.600

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