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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Podrobná bibliografia
Vydané v:	Infection and immunity Ročník 70; číslo 1; s. 79
Hlavní autori:	Panigada, Maddalena, Sturniolo, Tiziana, Besozzi, Giorgio, Boccieri, Maria Giovanna, Sinigaglia, Francesco, Grassi, Giuliana Gialdroni, Grassi, Fabio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2002
Predmet:	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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Popis
Shrnutí:	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.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0019-9567
DOI:	10.1128/IAI.70.1.79-85.2002