Identification of a promiscuous T-cell epitope in Mycobacterium tuberculosis Mce proteins

The characterization of Mycobacterium tuberculosis antigens inducing CD4(+) T-cell responses could critically contribute to the development of subunit vaccines for M. tuberculosis. Here we performed computational analysis by using T-cell epitope prediction software (known as TEPITOPE) to predict pro...

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Bibliographic Details
Published in:Infection and immunity Vol. 70; no. 1; p. 79
Main Authors: Panigada, Maddalena, Sturniolo, Tiziana, Besozzi, Giorgio, Boccieri, Maria Giovanna, Sinigaglia, Francesco, Grassi, Giuliana Gialdroni, Grassi, Fabio
Format: Journal Article
Language:English
Published: United States 01.01.2002
Subjects:
Amino Acid Sequence
Antibodies, Bacterial - immunology
Antigen Presentation - immunology
Antigens, Bacterial - genetics
Antigens, Bacterial - immunology
Bacterial Proteins - genetics
Bacterial Proteins - immunology
CD4-Positive T-Lymphocytes - cytology
CD4-Positive T-Lymphocytes - immunology
Cell Division
Cells, Cultured
Epitope Mapping
Epitopes, T-Lymphocyte - immunology
HLA-DR Antigens - immunology
Humans
Immunoglobulin G - immunology
Molecular Sequence Data
Mycobacterium tuberculosis - immunology
Peptides - immunology
Protein Binding
Sequence Homology, Amino Acid
Tuberculosis, Pulmonary - blood
Tuberculosis, Pulmonary - immunology
ISSN:0019-9567
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Summary:The characterization of Mycobacterium tuberculosis antigens inducing CD4(+) T-cell responses could critically contribute to the development of subunit vaccines for M. tuberculosis. Here we performed computational analysis by using T-cell epitope prediction software (known as TEPITOPE) to predict promiscuous HLA-DR ligands in the products of the mce genes of M. tuberculosis. The analysis of the proliferative responses of CD4(+) T cells from patients with pulmonary tuberculosis to selected peptides displaying promiscuous binding to HLA-DR in vitro led us to the identification of a peptide that induced proliferation of CD4(+) cells from 50% of the tested subjects. This study demonstrates that a systematic computational approach can be used to identify T-cell epitopes in proteins expressed by an intracellular pathogen.
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ISSN:0019-9567
DOI:10.1128/IAI.70.1.79-85.2002