T-cell and B-cell Immunology

This study characterizes the reprogramming of mouse fibroblasts into thymic epithelial cells (TECs) by analyzing gene expression changes and identifying factors that enhance the process.

This study uses CITE-seq to analyze thymocyte development and identifies TCR signaling waves and the TCR/calcineurin/NFAT/GATA3 axis as drivers of CD4/CD8 lineage commitment.

This paper systematically evaluates IL-2-Fc fusions to enhance Treg selectivity by exploring valency, orientation, and binding kinetics, identifying multivalency and asymmetry as key factors for improved specificity.

This study shows that DIDO3 deficiency disrupts B cell differentiation by altering transcription factor expression and somatic recombination.

This study identifies KIAA1841 as a negative regulator of class switch recombination in B cells through a shRNA screen in mouse B cell lines.

This study examines how different computational methods affect the analysis of B cell evolution in murine antibody repertoire sequencing data post-viral infection.

STIG generates synthetic T cell receptor sequencing data for evaluating repertoire inference tools using customizable virtual repertoires and simulated sequencing.

Genomic profiling of CD4 T cell activation reveals a sensitivity switch from TCR in naive to CD28 in memory cells.

The paper extends a Boolean network model of CD4+ T cell differentiation to a continuous model to assess how cytokine concentrations and combinations influence differentiation and plasticity.

The paper develops a method to estimate T cell abundance and identify TCR rearrangements from non-targeted DNA sequencing data without prior amplification.

The paper develops a systems-based approach to classify T-cell responses using transcriptome data from PBMCs stimulated with peptides, identifying new molecular patterns and transcription factors involved in antigen-specific responses.