Conservation of molecular and cellular phenotypes of invariant NKT cells between humans and non-human primates.
Krystle K Q YuDamien B WilburnJoshua A HackneyPatricia A DarrahKathryn E FouldsCharlotte A JamesMalisa T SmithLichen JingRobert A SederMario RoedererDavid M KoelleWillie J SwansonChetan SeshadriPublished in: Immunogenetics (2019)
Invariant NKT (iNKT) cells in both humans and non-human primates are activated by the glycolipid antigen, α-galactosylceramide (α-GalCer). However, the extent to which the molecular mechanisms of antigen recognition and in vivo phenotypes of iNKT cells are conserved among primate species has not been determined. Using an evolutionary genetic approach, we found a lack of diversifying selection in CD1 genes over 45 million years of evolution, which stands in stark contrast to the history of the MHC system for presenting peptide antigens to T cells. The invariant T cell receptor (TCR)-α chain was strictly conserved across all seven primate clades. Invariant NKT cells from rhesus macaques (Macaca mulatta) bind human CD1D-α-GalCer tetramer and are activated by α-GalCer-loaded human CD1D transfectants. The dominant TCR-β chain cloned from a rhesus-derived iNKT cell line is nearly identical to that found in the human iNKT TCR, and transduction of the rhesus iNKT TCR into human Jurkat cells show that it is sufficient for binding human CD1D-α-GalCer tetramer. Finally, we used a 20-color flow cytometry panel to probe tissue phenotypes of iNKT cells in a cohort of rhesus macaques. We discovered several tissue-resident iNKT populations that have not been previously described in non-human primates but are known in humans, such as TCR-γδ iNKTs. These data reveal a diversity of iNKT cell phenotypes despite convergent evolution of the genes required for lipid antigen presentation and recognition in humans and non-human primates.
Keyphrases
- endothelial cells
- induced apoptosis
- induced pluripotent stem cells
- pluripotent stem cells
- oxidative stress
- cell cycle arrest
- flow cytometry
- drug delivery
- genome wide
- regulatory t cells
- magnetic resonance imaging
- transcription factor
- machine learning
- signaling pathway
- computed tomography
- cell proliferation
- endoplasmic reticulum stress
- deep learning
- mesenchymal stem cells
- quality improvement
- copy number
- data analysis
- contrast enhanced