The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Expression patterns of NKG2A, KIR, and CD57 define a process of CD56dim NK-cell differentiation uncoupled from NK-cell education
Open accessAbstract
Natural killer (NK) cells are lymphocytes of the innate immune system that, following differentiation from CD56bright to CD56dim cells, have been thought to retain fixed functional and phenotypic properties throughout their lifespan. In contrast to this notion, we here show that CD56dim NK cells continue to differentiate. During this process, they lose expression of NKG2A, sequentially acquire inhibitory killer cell inhibitory immunoglobulin-like receptors and CD57, change their expression patterns of homing molecules, and display a gradual decline in proliferative capacity. All cellular intermediates of this process are represented in varying proportions at steady state and appear, over time, during the reconstitution of the immune system, as demonstrated in humanized mice and in patients undergoing hematopoietic stem cell transplantation. CD56dim NK-cell differentiation, and the associated functional imprint, occurs independently of NK-cell education by interactions with self–human leukocyte antigen class I ligands and is an essential part of the formation of human NK-cell repertoires.
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Citations
Cites
Functions of natural killer cells
Vivier, E., Tomasello, E., Baratin, M., Walzer, T., & Ugolini, S. (2008) · Nature Immunology · doi:10.1038/ni1582 · Cited by 3,943
Lanier, L. L. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115526 · Cited by 2,769
Adaptive immune features of natural killer cells
Sun, J. C., Beilke, J. N., & Lanier, L. L. (2009) · Nature · doi:10.1038/nature07665 · Cited by 1,619
Human natural killer cells: a unique innate immunoregulatory role for the CD56bright subset
Cooper, M. A., Fehniger, T. A., Turner, S. C., Chen, K. S., Ghaheri, B. A., Ghayur, T., Carson, W. E., & Caligiuri, M. A. (2001) · Blood · doi:10.1182/blood.v97.10.3146 · Cited by 1,449
Licensing of natural killer cells by host major histocompatibility complex class I molecules
Kim, S., Poursine-Laurent, J., Truscott, S. M., Lybarger, L., Song, Y.-J., Yang, L., French, A. R., Sunwoo, J. B., Lemieux, S., Hansen, T. H., et al. (2005) · Nature · doi:10.1038/nature03847 · Cited by 1,340
Human NK Cell Education by Inhibitory Receptors for MHC Class I
Anfossi, N., André, P., Guia, S., Falk, C. S., Roetynck, S., Stewart, C. A., Breso, V., Frassati, C., Reviron, D., Middleton, D., et al. (2006) · Immunity · doi:10.1016/j.immuni.2006.06.013 · Cited by 1,211
Brenchley, J. M., Karandikar, N. J., Betts, M. R., Ambrozak, D. R., Hill, B. J., Crotty, L. E., Casazza, J. P., Kuruppu, J., Migueles, S. A., Connors, M., et al. (2003) · Blood · doi:10.1182/blood-2002-07-2103 · Cited by 1,073
Human Diversity in Killer Cell Inhibitory Receptor Genes
Uhrberg, M., Valiante, N. M., Shum, B. P., Shilling, H. G., Lienert-Weidenbach, K., Corliss, B., Tyan, D., Lanier, L. L., & Parham, P. (1997) · Immunity · doi:10.1016/s1074-7613(00)80394-5 · Cited by 1,059
T cell– and B cell–independent adaptive immunity mediated by natural killer cells
O'Leary, J. G., Goodarzi, M., Drayton, D. L., & von Andrian, U. H. (2006) · Nature Immunology · doi:10.1038/ni1332 · Cited by 919
Regulation of human NK-cell cytokine and chemokine production by target cell recognition
Fauriat, C., Long, E. O., Ljunggren, H.-G., & Bryceson, Y. T. (2010) · Blood · doi:10.1182/blood-2009-08-238469 · Cited by 891
Self-citation
Cited by
Lopez-Vergès, S., Milush, J. M., Schwartz, B. S., Pando, M. J., Jarjoura, J., York, V. A., Houchins, J. P., Miller, S., Kang, S.-M., Norris, P. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110900108 · Cited by 822
Lopez-Vergès, S., Milush, J. M., Pandey, S., York, V. A., Arakawa-Hoyt, J., Pircher, H., Norris, P. J., Nixon, D. F., & Lanier, L. L. (2010) · Blood · doi:10.1182/blood-2010-04-282301 · Cited by 752
Solana, R., Tarazona, R., Gayoso, I., Lesur, O., Dupuis, G., & Fulop, T. (2012) · Seminars in Immunology · doi:10.1016/j.smim.2012.04.008 · Cited by 567
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
Aging of the immune system: Focus on inflammation and vaccination
Pinti, M., Appay, V., Campisi, J., Frasca, D., Fülöp, T., Sauce, D., Larbi, A., Weinberger, B., & Cossarizza, A. (2016) · European Journal of Immunology · doi:10.1002/eji.201546178 · Cited by 439
Metadata
- Authors
- Björkström, N. K., Riese, P., Heuts, F., Andersson, S., Fauriat, C., Ivarsson, M. A., Björklund, A. T., Flodström-Tullberg, M., Michaëlsson, J., Rottenberg, M. E., Guzmán, C. A., Ljunggren, H.-G., & Malmberg, K.-J.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2010-11-11
- Volume
- 116
- Issue
- 19
- Pages
- 3853-3864
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2050752994
- Cited by
- 734
- References
- 50
- FWCI
- 13.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Expression patterns of NKG2A, KIR, and CD57 define a process of CD56dim NK-cell differentiation uncoupled from NK-cell education. https://app.cochat.ai/papers/10.1182/blood-2010-04-281675
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- Björkström, N. K., Riese, P., Heuts, F., Andersson, S., Fauriat, C., Ivarsson, M. A., Björklund, A. T., Flodström-Tullberg, M., Michaëlsson, J., Rottenberg, M. E., Guzmán, C. A., Ljunggren, H.-G., & Malmberg, K.-J. (2010). Expression patterns of NKG2A, KIR, and CD57 define a process of CD56dim NK-cell differentiation uncoupled from NK-cell education. Blood. https://doi.org/10.1182/blood-2010-04-281675
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.