Proteome-wide analysis of HIV-specific naive and memory CD4+ T cells in unexposed blood donors
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Campion, Suzanne L.
Nuffield Department of Medicine Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, England, UK
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Brodie, Tess M.
Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
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Fischer, William
Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545
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Korber, Bette T.
Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545
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Rossetti, Astrea
Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
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Goonetilleke, Nilu
Department of Microbiology & Immunology, University of North Carolina, Chapel Hill, NC 275994 - Department of Medicine, University of North Carolina, Chapel Hill, NC 27599
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McMichael, Andrew J.
Nuffield Department of Medicine Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, England, UK
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Sallusto, Federica
Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
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Published in:
- Journal of experimental medicine. - 2014, vol. 211, no. 7, p. 1273-1280
English
The preexisting HIV-1–specific T cell repertoire must influence both the immunodominance of T cells after infection and immunogenicity of vaccines. We directly compared two methods for measuring the preexisting CD4+ T cell repertoire in healthy HIV-1–negative volunteers, the HLA-peptide tetramer enrichment and T cell library technique, and show high concordance (r = 0.989). Using the library technique, we examined whether naive, central memory, and/or effector memory CD4+ T cells specific for overlapping peptides spanning the entire HIV-1 proteome were detectable in 10 HLA diverse, HIV-1– unexposed, seronegative donors. HIV-1–specific cells were detected in all donors at a mean of 55 cells/million naive cells and 38.9 and 34.1 cells/million in central and effector memory subsets. Remarkably, peptide mapping showed most epitopes recognized by naive (88%) and memory (56%) CD4+ T cells had been previously reported in natural HIV-1 infection. Furthermore, 83% of epitopes identified in preexisting memory subsets shared epitope length matches (8–12 amino acids) with human microbiome proteins, suggestive of a possible cross-reactive mechanism. These results underline the power of a proteome-wide analysis of peptide recognition by human T cells for the identification of dominant antigens and provide a baseline for optimizing HIV-1–specific helper cell responses by vaccination.
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Medicine
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https://n2t.net/ark:/12658/srd1318830
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