SARS-CoV-2 infection and mRNA vaccination both elicit spike (S)-specific T cell responses. To analyze how T cell memory from prior infection influences T cell responses to vaccination, we evaluated functional T cell responses in naive and previously infected vaccine recipients. Pre-vaccine S-specific responses are predictive of subsequent CD8 T cell vaccine-response magnitudes.
View Article and Find Full Text PDFSeasonal windows of opportunity are intervals within a year that provide improved prospects for growth, survival, or reproduction. However, few studies have sufficient temporal resolution to examine how multiple factors combine to constrain the seasonal timing and extent of developmental opportunities. Here, we document seasonal changes in milkweed ()-monarch () interactions with high resolution throughout the last three breeding seasons prior to a precipitous single-year decline in the western monarch population.
View Article and Find Full Text PDFDestabilization of balanced immune cell numbers and frequencies is a common feature of viral infections. This occurs due to, and further enhances, viral immune evasion and survival. Since the discovery of the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2), which manifests in coronavirus disease 2019 (COVID-19), a great number of studies have described the association between this virus and pathologically increased or decreased immune cell counts.
View Article and Find Full Text PDFCOVID-19 is characterized by profound lymphopenia in the peripheral blood, and the remaining T cells display altered phenotypes, characterized by a spectrum of activation and exhaustion. However, antigen-specific T cell responses are emerging as a crucial mechanism for both clearance of the virus and as the most likely route to long-lasting immune memory that would protect against re-infection. Therefore, T cell responses are also of considerable interest in vaccine development.
View Article and Find Full Text PDFCytotoxic CD8 T lymphocytes (CTLs) recognize peptides displayed by HLA class I molecules on cell surfaces, monitoring pathological conditions such as cancer. Difficulty in predicting HLA class I ligands is attributed to the complexity of the Ag processing pathway across the cytosol and the endoplasmic reticulum. By means of HLA ligandome analysis using mass spectrometry, we collected natural HLA class I ligands on a large scale and analyzed the source-protein sequences flanking the ligands.
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