An analysis of T cell receptor occurrence patterns that accounts for MHC restriction reveals striking imprints of common viral pathogens and patterns of TCR-HLA sequence covariation in a large human cohort.

Engineered T cell receptors enable targeted immunotherapy with a reduced risk of harmful autoimmunity.

Deep learning improves estimation of T cell receptor cohort frequencies and learns the rules of VDJ recombination, potentially making it helpful for vaccine design.

Shark's T cells suggest plasticity in diversification mechanisms used by vertebrate lymphocytes, including somatic hypermutation in the thymus.

The alleles of the major histocompatibility complex present in an individual affect the sequences, including, surprisingly, the nongerm line encoded amino acids, of the receptors on T cells that allow recognition of antigens.

The ability of the T cell receptor to discriminate ligands is imperfect, allowing T cells to respond to ultra-low-affinity ligands.

A bioinformatics approach shows how to reduce noise in single-cell TCR-pMHC specificity data while retaining sensitivity toward cross-binding events to facilitate investigation of the rules governing TCR-pMHC binding.

Trans genetic variation in TdT and Artemis loci impacts V(D)J recombination probabilities.

Amino acid codon degeneracy indicates antigen-specific selection of the T cell receptors and is predictive of cancer immunotherapy outcomes.

Combining experiments, bioinformatics, and mathematical modelling, we find large heterogeneity in naive T cell clone sizes.