Title |
Naive CD8+ T‐cell precursors display structured TCR repertoires and composite antigen‐driven selection dynamics
|
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Published in |
Immunology & Cell Biology, March 2015
|
DOI | 10.1038/icb.2015.17 |
Pubmed ID | |
Authors |
Michelle A Neller, Kristin Ladell, James E McLaren, Katherine K Matthews, Emma Gostick, Johanne M Pentier, Garry Dolton, Andrea JA Schauenburg, Dan Koning, Ana Isabel CA Fontaine Costa, Thomas S Watkins, Vanessa Venturi, Corey Smith, Rajiv Khanna, Kelly Miners, Mathew Clement, Linda Wooldridge, David K Cole, Debbie van Baarle, Andrew K Sewell, Scott R Burrows, David A Price, John J Miles |
Abstract |
Basic parameters of the naive antigen (Ag)-specific T-cell repertoire in humans remain poorly defined. Systematic characterization of this 'ground state' immunity in comparison with memory will allow a better understanding of clonal selection during immune challenge. Here, we used high-definition cell isolation from umbilical cord blood samples to establish the baseline frequency, phenotype and T-cell antigen receptor (TCR) repertoire of CD8(+) T-cell precursor populations specific for a range of viral and self-derived Ags. Across the board, these precursor populations were phenotypically naive and occurred with hierarchical frequencies clustered by Ag specificity. The corresponding patterns of TCR architecture were highly ordered and displayed partial overlap with adult memory, indicating biased structuring of the T-cell repertoire during Ag-driven selection. Collectively, these results provide new insights into the complex nature and dynamics of the naive T-cell compartment.Immunology and Cell Biology advance online publication, 24 March 2015; doi:10.1038/icb.2015.17. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 1 | 17% |
United States | 1 | 17% |
Ireland | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
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United Kingdom | 1 | 1% |
Unknown | 71 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 17 | 24% |
Student > Ph. D. Student | 12 | 17% |
Student > Master | 10 | 14% |
Student > Doctoral Student | 6 | 8% |
Other | 5 | 7% |
Other | 16 | 22% |
Unknown | 6 | 8% |
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Neuroscience | 2 | 3% |
Other | 4 | 6% |
Unknown | 6 | 8% |