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.
|Titolo:||Identification of a promiscuous T-cell epitope in Mycobacterium tuberculosis mce proteins|
|Autori interni:||GRASSI, FABIO MARIA (Ultimo)|
|Settore Scientifico Disciplinare:||Settore BIO/13 - Biologia Applicata|
|Data di pubblicazione:||2002|
|Digital Object Identifier (DOI):||10.1128/IAI.70.1.79-85.2002|
|Appare nelle tipologie:||01 - Articolo su periodico|