Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

T cells express T cell receptors (TCRs) composed of somatically recombined TCRα and
TCRβ chains, which mediate recognition of major histocompatibility complex (MHC)–antigen …

We introduce the TRUST4 open-source algorithm for reconstruction of immune receptor
repertoires in αβ/γδ T cells and B cells from RNA-sequencing (RNA-seq) data. Compared …

During adaptive immunity, B cells differentiate either into memory B cells or plasma cells and
produce antibodies against foreign antigens to fight infection. Additionally, they behave as …

The diversity of circulating human B cells is unknown. We use single-cell RNA sequencing
(RNA-seq) to examine the diversity of both antigen-specific and total B cells in healthy …

High-throughput single-cell RNA sequencing is a powerful technique but only generates
short reads from one end of a cDNA template, limiting the reconstruction of highly diverse …

Single-cell technologies are emerging as powerful tools for cancer research. These
technologies characterize the molecular state of each cell within a tumor, enabling new …

Generating sufficient antibody to block infection is a key challenge for vaccines against
malaria. Here, we show that antibody titers to a key target, the repeat region of the …

Advances in single-cell technologies have enabled the investigation of T-cell phenotypes
and repertoires at unprecedented resolution and scale. Bioinformatic methods for the …

The adaptive immune system recognizes antigens via an immense array of antigen-binding
antibodies and T-cell receptors, the immune repertoire. The interrogation of immune …