ArticleNature communications2023
Intrinsic factors and CD1d1 but not CD1d2 expression levels control invariant natural killer T cell subset differentiation.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Beyond α-GalCer: Medicinal Chemistry Insights Driving Structural Evolution of CD1d Ligands.Journal of medicinal chemistry · 2026Review
- SLAMF6 regulates basal T cell receptor signaling and influences invariant natural killer T cell lineage diversity.International immunology · 2025Article
- CD1 molecules: Beyond antigen presentation.Molecular immunology · 2024Review
- Innate-like T cell subset commitment in the murine thymus is independent of TCR characteristics and occurs during proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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Authors and funding
20 authors at 8 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Invariant natural killer T (NKT) cell subsets are defined based on their cytokine-production profiles and transcription factors. Their distribution is different in C57BL/6 (B6) and BALB/c mice, with a bias for NKT1 and NKT2/NKT17 subsets, respectively. Here, we show that the non-classical class I-like major histocompatibility complex CD1 molecules CD1d2, expressed in BALB/c and not in B6 mice, could not account for this difference. We find however that NKT cell subset distribution is intrinsic to bone marrow derived NKT cells, regardless of syngeneic CD1d-ligand recognition, and that multiple intrinsic factors are likely involved. Finally, we find that CD1d expression levels in combination with T cell antigen receptor signal strength could also influence NKT cell distribution and function. Overall, this study indicates that CD1d-mediated TCR signals and other intrinsic signals integrate to influence strain-specific NKT cell differentiation programs and subset distributions.
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Registered trials
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