CD4+ T cells responding to chronic lymphocytic choriomeningitis virus infection display transcriptional heterogeneity that is marked by both lineage-specific gene expression profiles and core gene expression programs that are upregulated and conserved across multiple distinct populations of T helper cells.

Long-term immune outcomes vary with age, for both adults and children in HIV-infected populations, e.g. long-term scaled carrying capacity is lower in HIV-infected younger individuals compared to older individuals.

High-throughput sequencing of the memory T cell receptor repertoire and machine learning can predict robust antibody and CD4 T cell response to de novo hepatitis B vaccine.

Rare, virus-specific immune cells in human blood are automatically identified by machine learning algorithm T-REX and characterized for signature features needed for tracking and isolation.

Based on benchmarking various methods and analyzing multiple real scRNA-seq datasets, a computational platform/workflow and a set of tips for best practices are developed for analyzing causal interactions or relationships in single cells.

Sepsis-induced numerical loss of naive autoantigen-specific CD4 T cells reduces host capacity to develop autoimmune immune disease, thereby demonstrating an intriguing relationship between infection and autoimmune disease.

CD4+ T cells from the female reproductive tract are unusually susceptible to HIV infection and are altered by HIV in ways that promote survival and systemic spread of the virus.

The infection of T helper lymphocytes by SARS-CoV-2, mediated via the CD4 molecule, alters cellular function and enhances expression of the anti-inflammatory cytokine IL-10, potentially impairing immune response in individuals with COVID-19.

Overexpression of VPS9D1-AS1 is a lncRNA to activate TGF-β and IFN signaling pathways, regulates crosstalk between cancer cells and T lymphocytes in the tumor microenvironment.

The thymic selection of the human T-cell receptor repertoire releases polyspecific receptors with the ability to recognize and respond to peptides from unrelated viruses.