γδ T cell antigen receptor polyspecificity enables T cell responses to a broad range of immune challenges.
Jing GuoRoshni Roy ChowdhuryVamsee MallajosyulaJianming XieMegha DubeyYuanyuan LiuJing LiYu-Ling WeiBrad A PalanskiConghua WangLingfeng QiuMané OhanyanOliver KaskElsa SolaLilit KamalyanDavid B LewisThomas Jens ScribaMark M DavisDylan DoddXun ZengYueh-Hsiu ChienPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
γδ T cells are essential for immune defense and modulating physiological processes. While they have the potential to recognize large numbers of antigens through somatic gene rearrangement, the antigens which trigger most γδ T cell response remain unidentified, and the role of antigen recognition in γδ T cell function is contentious. Here, we show that some γδ T cell receptors (TCRs) exhibit polyspecificity, recognizing multiple ligands of diverse molecular nature. These ligands include haptens, metabolites, neurotransmitters, posttranslational modifications, as well as peptides and proteins of microbial and host origin. Polyspecific γδ T cells are enriched among activated cells in naive mice and the responding population in infection. They express diverse TCR sequences, have different functional potentials, and include the innate-like γδ T cells, such as the major IL-17 responders in various pathological/physiological conditions. We demonstrate that encountering their antigenic microbiome metabolite maintains their homeostasis and functional response, indicating that their ability to recognize multiple ligands is essential for their function. Human γδ T cells with similar polyspecificity also respond to various immune challenges. This study demonstrates that polyspecificity is a prevalent feature of γδ T cell antigen recognition, which enables rapid and robust T cell responses to a wide range of challenges, highlighting a unique function of γδ T cells.
Keyphrases
- immune response
- induced apoptosis
- endothelial cells
- dendritic cells
- machine learning
- ms ms
- microbial community
- cell cycle arrest
- type diabetes
- cell death
- adipose tissue
- deep learning
- genome wide
- human health
- oxidative stress
- dna methylation
- transcription factor
- binding protein
- endoplasmic reticulum stress
- skeletal muscle
- quantum dots
- genome wide identification
- insulin resistance