A. Sette

This study identifies Bacteroidetes species that induce CD4+CD8αα+ intraepithelial T lymphocytes, which provide protective immunity against colitis.

This study shows that PD-1 blockade worsens Mycobacterium tuberculosis infection in rhesus macaques by increasing bacterial loads and altering immune responses.

This study identifies and characterizes CD4+ T cell epitopes specific to Shingrix vaccination, showing a shift in immunodominance from non-structural proteins to gE and mapping HLA restrictions for these epitopes.

This study compares HLA ligand elution data with binding predictions for HLA-DQ2.5, finding discrepancies due to ambiguous MHC restriction and underprediction of certain peptides.

This study analyzes single-cell transcriptomes of SARS-CoV-2 reactive CD4+ T cells in COVID-19 patients, finding differences in cell types and gene expression between severe and mild disease.

The paper identifies a novel SARS-CoV-2 sub-genomic RNA generated by homologous recombination involving the R203K/G204R variant in nucleocapsid, which may enhance viral adaptation and expression.

The paper identifies a conserved Ebola Zaire epitope that provides protection in mice and suggests its potential application in COVID-19 vaccine design.

The paper identifies potential immune targets for 2019-nCoV using sequence homology and bioinformatic predictions.

The paper identifies molecular signatures and methods to distinguish cell-cell complexes from singlet cells in flow cytometry data, highlighting their impact on data interpretation.

This study shows that T cell responses to flavivirus vaccines are specific and have limited cross-reactivity with other flavivirus species.

The paper assesses T cell recognition of Mtb-infected macrophages in mice and finds that CD4 T cells more effectively recognize these cells than CD8 T cells, with BCG vaccination eliciting such responses.

This study benchmarks T cell epitope prediction tools using a comprehensive dataset of vaccinia virus epitopes, finding that neural network-based methods trained on MHC binding and ligand elution data perform best.

The paper describes a modified Helios mass cytometer protocol that improves data quality and reduces inter-instrument variability in multi-center studies.

The paper identifies T cell:monocyte complexes in human blood as biological immune interactions, not technical artifacts, and shows their frequency changes with immune perturbations.

This study develops MHC class II ligand binding predictors trained on naturally eluted peptides, showing improved performance by incorporating antigen processing rules.

The paper investigates recurrent Group A Streptococcus tonsillitis and finds it involves antibody deficiency and aberrant Tfh cells, with genetic factors contributing to susceptibility.