The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Memory T Cells in Latent Mycobacterium tuberculosis Infection Are Directed against Three Antigenic Islands and Largely Contained in a CXCR3+CCR6+ Th1 Subset
Open accessAbstract
An understanding of the immunological footprint of Mycobacterium tuberculosis (MTB) CD4 T cell recognition is still incomplete. Here we report that human Th1 cells specific for MTB are largely contained in a CXCR3(+)CCR6(+) memory subset and highly focused on three broadly immunodominant antigenic islands, all related to bacterial secretion systems. Our results refute the notion that secreted antigens act as a decoy, since both secreted proteins and proteins comprising the secretion system itself are targeted by a fully functional T cell response. In addition, several novel T cell antigens were identified which can be of potential diagnostic use, or as vaccine antigens. These results underline the power of a truly unbiased, genome-wide, analysis of CD4 MTB recognition based on the combined use of epitope predictions, high throughput ELISPOT, and T cell libraries using PBMCs from individuals latently infected with MTB.
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Citations
Cites
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
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Self-citationFlexible Programs of Chemokine Receptor Expression on Human Polarized T Helper 1 and 2 Lymphocytes
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Self-citationGenetic requirements for mycobacterial survival during infection
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Mechanisms Underlying Lineage Commitment and Plasticity of Helper CD4 + T Cells
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A Mutation in the Interferon-γ –Receptor Gene and Susceptibility to Mycobacterial Infection
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Production of interleukin 22 but not interleukin 17 by a subset of human skin-homing memory T cells
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“Th1 cells mainly express the chemokine receptors CCR5 and CXCR3 [3], while Th17 cells co-express CCR6 and CCR4 and Th22 cells co-express CCR6 and CCR10 [4,5].”
BackgroundInfluentialSelf-citationInnate immune detection of the type III secretion apparatus through the NLRC4 inflammasome
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Type VII secretion — mycobacteria show the way
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Cited by
Identifying specificity groups in the T cell receptor repertoire
Glanville, J., Huang, H., Nau, A., Hatton, O., Wagar, L. E., Rubelt, F., Ji, X., Han, A., Krams, S. M., Pettus, C., et al. (2017) · Nature · doi:10.1038/nature22976 · Cited by 1,026
Self-citationThe who's who of T ‐cell differentiation: Human memory T ‐cell subsets
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Self-citationTarke, A., Sidney, J., Kidd, C. K., Dan, J. M., Ramirez, S. I., Yu, E. D., Mateus, J., da Silva Antunes, R., Moore, E., Rubiro, P., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100204 · Cited by 540
Self-citationHeterogeneity of Human CD4 + T Cells Against Microbes
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Self-citationFunctional heterogeneity of human memory CD4 + T cell clones primed by pathogens or vaccines
Becattini, S., Latorre, D., Mele, F., Foglierini, M., De Gregorio, C., Cassotta, A., Fernandez, B., Kelderman, S., Schumacher, T. N., Corti, D., et al. (2015) · Science · doi:10.1126/science.1260668 · Cited by 314
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Metadata
- Authors
- Lindestam Arlehamn, C. S., Gerasimova, A., Mele, F., Henderson, R., Swann, J., Greenbaum, J. A., Kim, Y., Sidney, J., James, E. A., Taplitz, R., McKinney, D. M., Kwok, W. W., Grey, H., Sallusto, F., Peters, B., & Sette, A.
- Venue
- PLoS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-01-24
- Volume
- 9
- Issue
- 1
- Pages
- e1003130
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- OpenAlex
- W2027189611
- Cited by
- 275
- References
- 58
- FWCI
- 18.62
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lindestam Arlehamn, C. S., Gerasimova, A., Mele, F., Henderson, R., Swann, J., Greenbaum, J. A., Kim, Y., Sidney, J., James, E. A., Taplitz, R., McKinney, D. M., Kwok, W. W., Grey, H., Sallusto, F., Peters, B., & Sette, A. (2013). Memory T Cells in Latent Mycobacterium tuberculosis Infection Are Directed against Three Antigenic Islands and Largely Contained in a CXCR3+CCR6+ Th1 Subset. PLoS Pathogens. https://doi.org/10.1371/journal.ppat.1003130
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
