In silico identification of cytotoxic T lymphocyte epitopes encoded by RD5 region of Mycobacterium tuberculosis

Jun-Wei Zhao; Min Yan; Guang Shi; Shu-Lin Zhang; Liang Ming

doi:10.3855/jidc.7207

In silico identification of cytotoxic T lymphocyte epitopes encoded by RD5 region of Mycobacterium tuberculosis

Authors

Jun-Wei Zhao Zhengzhou University, Zhengzhou, Henan, China
Min Yan Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China
Guang Shi Zhengzhou University, Zhengzhou, Henan, China
Shu-Lin Zhang Shanghai Jiao Tong University School of Medicine, Shanghai, China
Liang Ming Zhengzhou University, Zhengzhou, Henan, China

DOI:

https://doi.org/10.3855/jidc.7207

Keywords:

tuberculosis, Tuberculosis, region of difference 5, cytotoxic T lymphocyte epitope, population coverage

Abstract

Introduction: While CD8+ T cells (cytotoxic T lymphocytes, CTLs) play important roles in immunity against Mycobacterium tuberculosis, only a small number of human leukocyte differentiation antigen (HLA) class I-restricted CTL epitopes for TB have been identified. The current study evaluates CTL epitopes of Rv3117 and Rv3120 proteins, two newly found M. tuberculosis region-diffference-5 (RD5)-encoded antigens, and their population coverage.

Methodology: The amino acid sequences of the two proteins were subjected to epitope analysis under HLA-A2, A3 and B7 supertype restriction using NetCTL, SYFPEITHI, BIMAS, NetCTLPan, IEDB, NetMHC and NetMHCPan prediction online servers.

Results: Eight RD5-encoded CTL epitopes were identified in the two proteins and the average population coverage of these epitopes was 87.2% among populations worldwide.

Conclusion: These CTL epitopes that were identified in silico and may have potential use for CD8+ T cell-mediated TB vaccine design.

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Published

2017-10-31

How to Cite

Zhao J-W, Yan M, Shi G, Zhang S-L, Ming L (2017) In silico identification of cytotoxic T lymphocyte epitopes encoded by RD5 region of Mycobacterium tuberculosis. J Infect Dev Ctries 11:806–810. doi: 10.3855/jidc.7207

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Issue

Vol. 11 No. 10: October 2017

Section

Brief Original Articles

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