ArticleClinical and vaccine immunology : CVI2010
Peptide microarray-based identification of Mycobacterium tuberculosis epitope binding to HLA-DRB1*0101, DRB1*1501, and DRB1*0401.
Article in Clinical and vaccine immunology : CVI, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Trial
- Comprehensive Approaches to Protein Detection and Analysis in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026Review
- Review
- Challenges in Serologic Diagnostics of Neglected Human Systemic Mycoses: An Overview on Characterization of New Targets.Pathogens (Basel, Switzerland) · 2022Review
- Evaluation of the consistence between the results of immunoinformatics predictions and real-world animal experiments of a new tuberculosis vaccine MP3RT.Frontiers in cellular and infection microbiology · 2022Article
- Peptide-Based Vaccines for Tuberculosis.Frontiers in immunology · 2022Review
- Whole genome sequencing, analyses of drug resistance-conferring mutations, and correlation with transmission of Mycobacterium tuberculosis carrying katG-S315T in Hanoi, Vietnam.Scientific reports · 2019Article
- Predicting Antigen Presentation-What Could We Learn From a Million Peptides?Frontiers in immunology · 2018Review
- Article
- Bayesian hierarchical modeling for subject-level response classification in peptide microarray immunoassays.Biometrics · 2016Article
- Integrated computational prediction and experimental validation identifies promiscuous T cell epitopes in the proteome ofMicrobial genomics · 2016Article
- Current tools for predicting cancer-specific T cell immunity.Oncoimmunology · 2016Review
- Identification of a Highly Conserved Epitope on Avian Influenza Virus Non-Structural Protein 1 Using a Peptide Microarray.PloS one · 2016Article
- Sequence conservation analysis and in silico human leukocyte antigen-peptide binding predictions for the Mtb72F and M72 tuberculosis candidate vaccine antigens.BMC immunology · 2015Article
- Identification of novel Mycobacterium tuberculosis CD4 T-cell antigens via high throughput proteome screening.Tuberculosis (Edinburgh, Scotland) · 2015Article
- Mixture-based combinatorial libraries from small individual peptide libraries: a case study on α1-antitrypsin deficiency.Molecules (Basel, Switzerland) · 2014Article
- Association between HLA-Class I and HLA-Class II Alleles and Mycobacterium Tuberculosis Infection in Iraqi Patients from Baghdad City.Iranian journal of medical sciences · 2014Article
- An antibody response to human polyomavirus 15-mer peptides is highly abundant in healthy human subjects.Virology journal · 2013Article
- Mature Epitope Density--a strategy for target selection based on immunoinformatics and exported prokaryotic proteins.BMC genomics · 2013Article
- Prediction and identification of B cell epitopes derived from EWS/FLI-l fusion protein of Ewing's sarcoma.Medical oncology (Northwood, London, England) · 2012Article
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Authors and funding
6 authors.
Funding
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Abstract
A more effective vaccine against Mycobacterium tuberculosis is needed, and a number of M. tuberculosis vaccine candidates are currently in preclinical or clinical phase I and II studies. One of the strategies to select M. tuberculosis (protein) targets to elicit a CD8(+) or CD4(+) T-cell response is to gauge the binding of candidate peptides to major histocompatibility complex (MHC) class I or class II molecules, a prerequisite for successful peptide presentation and to expand antigen-specific T cells. We scanned 61 proteins from the M. tuberculosis proteome for potential MHC class II-presented epitopes that could serve as targets for CD4(+) T-cell responses. We constructed a peptide microarray consisting of 7,466 unique peptides derived from 61 M. tuberculosis proteins. The peptides were 15-mers overlapping by 12 amino acids. Soluble recombinant DRB1*0101 (DR1), DRB1*1501 (DR2), and DRB1*0401 (DR4) monomers were used to gauge binding to individual peptide species. Out of 7,466 peptides, 1,282, 674, and 1,854 peptides formed stable complexes with HLA-DR1, -DR2, and -DR4, respectively. Five hundred forty-four peptides bound to all three MHC class II molecules, 609 bound to only two, and 756 bound to only a single MHC class II molecule. This allowed us to rank M. tuberculosis proteins by epitope density. M. tuberculosis proteins contained "hot spots," i.e., regions with enriched MHC class II binding epitopes. Two hundred twenty-two peptides that formed MHC class II-peptide complexes had previously been described as exclusively recognized by IgG in sera from patients with active pulmonary tuberculosis, but not in sera from healthy individuals, suggesting that these peptides serve as B-cell and CD4(+) T-cell epitopes. This work helps to identify not only M. tuberculosis peptides with immunogenic potential, but also the most immunogenic proteins. This information is useful for vaccine design and the development of future tools to explore immune responses to M. tuberculosis.
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