The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Recognition of peptide–MHC class I complexes by activating killer immunoglobulin-like receptors
Open accessAbstract
Inhibitory receptors for MHC class I molecules increase the threshold of lymphocyte activation. Natural Killer (NK) cells express a large number of such inhibitory receptors, including the human killer Ig-like receptors (KIR). However, activating members of the KIR family have poorly defined ligands and functions. Here we describe the use of activating KIR tetramer reagents as probes to detect their ligands. Infection of cells with Epstein–Barr virus leads to expression of a detectable ligand for the activating receptor KIR2DS1. In this case, KIR2DS1 interacts with up-regulated peptide–MHC class I complexes on Epstein–Barr virus-infected cells in a transporter associated with antigen processing (TAP)-dependent manner. In tetramer-based cellular assays and direct affinity measurements, this interaction with MHC class I is facilitated by a broad spectrum of peptides. KIR2DS1 and its inhibitory homologue, KIR2DL1, share sensitivity to peptide sequence alterations at positions 7 and 8. These results fit a model in which activating and inhibitory receptors recognize the same sets of self-MHC class I molecules, differing only in their binding affinities. Importantly, KIR2DS1 is not always sufficient to trigger NK effector responses when faced with cognate ligand, consistent with fine control during NK cell activation. We discuss how our results for KIR2DS1 and parallel studies on KIR2DS2 relate to the association between activating KIR genes and susceptibility to autoimmune disorders.
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Cites
Lanier, L. L. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115526 · Cited by 2,769
Selective rejection of H–2-deficient lymphoma variants suggests alternative immune defence strategy
Kärre, K., Ljunggren, H. G., Piontek, G., & Kiessling, R. (1986) · Nature · doi:10.1038/319675a0 · Cited by 2,161
Induced recruitment of NK cells to lymph nodes provides IFN-γ for TH1 priming
Martín-Fontecha, A., Thomsen, L. L., Brett, S., Gerard, C., Lipp, M., Lanzavecchia, A., & Sallusto, F. (2004) · Nature Immunology · doi:10.1038/ni1138 · Cited by 1,353
Direct Recognition of Cytomegalovirus by Activating and Inhibitory NK Cell Receptors
Arase, H., Mocarski, E. S., Campbell, A. E., Hill, A. B., & Lanier, L. L. (2002) · Science · doi:10.1126/science.1070884 · Cited by 1,230
MHC class I molecules and kirs in human history, health and survival
Parham, P. (2005) · Nature Reviews Immunology · doi:10.1038/nri1570 · Cited by 1,203
Epistatic interaction between KIR3DS1 and HLA-B delays the progression to AIDS
Martin, M. P., Gao, X., Lee, J.-H., Nelson, G. W., Detels, R., Goedert, J. J., Buchbinder, S., Hoots, K., Vlahov, D., Trowsdale, J., et al. (2002) · Nature Genetics · doi:10.1038/ng934 · Cited by 1,189
HLA and NK Cell Inhibitory Receptor Genes in Resolving Hepatitis C Virus Infection
Khakoo, S. I., Thio, C. L., Martin, M. P., Brooks, C. R., Gao, X., Astemborski, J., Cheng, J., Goedert, J. J., Vlahov, D., Hilgartner, M., et al. (2004) · Science · doi:10.1126/science.1097670 · Cited by 1,179
Hiby, S. E., Walker, J. J., O'Shaughnessy, K. M., Redman, C. W. G., Carrington, M., Trowsdale, J., & Moffett, A. (2004) · The Journal of Experimental Medicine · doi:10.1084/jem.20041214 · Cited by 1,121
Recognition of a virus-encoded ligand by a natural killer cell activation receptor
Smith, H. R. C., Heusel, J. W., Mehta, I. K., Kim, S., Dorner, B. G., Naidenko, O. V., Iizuka, K., Furukawa, H., Beckman, D. L., Pingel, J. T., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092258599 · Cited by 767
Natural Killer Cell Signaling Pathways
Vivier, E., Nunès, J. A., & Vély, F. (2004) · Science · doi:10.1126/science.1103478 · Cited by 751
Self-citation
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Self-citationHuman NK cells: surface receptors, inhibitory checkpoints, and translational applications
Sivori, S., Vacca, P., Del Zotto, G., Munari, E., Mingari, M. C., & Moretta, L. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0206-4 · Cited by 555
Prospects for the use of NK cells in immunotherapy of human cancer
Ljunggren, H.-G., & Malmberg, K.-J. (2007) · Nature Reviews Immunology · doi:10.1038/nri2073 · Cited by 543
Balancing natural killer cell activation through paired receptors
Martinet, L., & Smyth, M. J. (2015) · Nature Reviews Immunology · doi:10.1038/nri3799 · Cited by 485
Alter, G., Martin, M. P., Teigen, N., Carr, W. H., Suscovich, T. J., Schneidewind, A., Streeck, H., Waring, M., Meier, A., Brander, C., et al. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070695 · Cited by 455
Metadata
- Authors
- Stewart, C. A., Laugier-Anfossi, F., Vély, F., Saulquin, X., Riedmuller, J., Tisserant, A., Gauthier, L., Romagné, F., Ferracci, G., Arosa, F. A., Moretta, A., Sun, P. D., Ugolini, S., & Vivier, E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-09-02
- Volume
- 102
- Issue
- 37
- Pages
- 13224-13229
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2138781831
- Cited by
- 406
- References
- 52
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- green
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- Stewart, C. A., Laugier-Anfossi, F., Vély, F., Saulquin, X., Riedmuller, J., Tisserant, A., Gauthier, L., Romagné, F., Ferracci, G., Arosa, F. A., Moretta, A., Sun, P. D., Ugolini, S., & Vivier, E. (2005). Recognition of peptide–MHC class I complexes by activating killer immunoglobulin-like receptors. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0503594102
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