The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
FcγRIIB in autoimmunity and infection: evolutionary and therapeutic implications
Open accessAbstract
FcγRIIB is the only inhibitory Fc receptor. It controls many aspects of immune and inflammatory responses, and variation in the gene encoding this protein has long been associated with susceptibility to autoimmune disease, particularly systemic lupus erythematosus (SLE). FcγRIIB is also involved in the complex regulation of defence against infection. A loss-of-function polymorphism in FcγRIIB protects against severe malaria, the investigation of which is beginning to clarify the evolutionary pressures that drive ethnic variation in autoimmunity. Our increased understanding of the function of FcγRIIB also has potentially far-reaching therapeutic implications, being involved in the mechanism of action of intravenous immunoglobulin, controlling the efficacy of monoclonal antibody therapy and providing a direct therapeutic target.
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Cites
Fcγ receptors as regulators of immune responses
Nimmerjahn, F., & Ravetch, J. V. (2008) · Nature Reviews Immunology · doi:10.1038/nri2206 · Cited by 2,947
Inhibitory Fc receptors modulate in vivo cytoxicity against tumor targets
Clynes, R. A., Towers, T. L., Presta, L. G., & Ravetch, J. V. (2000) · Nature Medicine · doi:10.1038/74704 · Cited by 2,768
Cartron, G., Dacheux, L., Salles, G., Solal-Celigny, P., Bardos, P., Colombat, P., & Watier, H. (2002) · Blood · doi:10.1182/blood.v99.3.754 · Cited by 1,900
Anti-Inflammatory Activity of Immunoglobulin G Resulting from Fc Sialylation
Kaneko, Y., Nimmerjahn, F., & Ravetch, J. V. (2006) · Science · doi:10.1126/science.1129594 · Cited by 1,754
Bruhns, P., Iannascoli, B., England, P., Mancardi, D. A., Fernandez, N., Jorieux, S., & Daëron, M. (2009) · Blood · doi:10.1182/blood-2008-09-179754 · Cited by 1,479
Recent Segmental Duplications in the Human Genome
Bailey, J. A., Gu, Z., Clark, R. A., Reinert, K., Samonte, R. V., Schwartz, S., Adams, M. D., Myers, E. W., Li, P. W., & Eichler, E. E. (2002) · Science · doi:10.1126/science.1072047 · Cited by 1,352
Mechanisms of change in gene copy number
Hastings, P. J., Lupski, J. R., Rosenberg, S. M., & Ira, G. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2593 · Cited by 1,316
Ravetch, J. V., & Kinet, J. P. (1991) · Annual Review of Immunology · doi:10.1146/annurev.iy.09.040191.002325 · Cited by 1,229
Shields, R. L., Namenuk, A. K., Hong, K., Meng, Y. G., Rae, J., Briggs, J., Xie, D., Lai, J., Stadlen, A., Li, B., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m009483200 · Cited by 1,161
How Malaria Has Affected the Human Genome and What Human Genetics Can Teach Us about Malaria
Kwiatkowski, D. P. (2005) · The American Journal of Human Genetics · doi:10.1086/432519 · Cited by 1,104
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Metadata
- Authors
- Smith, K. G. C., & Clatworthy, M. R.
- Venue
- Nature Reviews Immunology
- Published
- 2010-05
- Volume
- 10
- Issue
- 5
- Pages
- 328-343
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W2088002019
- Cited by
- 543
- References
- 141
- FWCI
- 3.68
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
