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Cited by 979

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The Immunological Synapse

Bromley, Shannon K., Burack, W. Richard, Johnson, Kenneth G., Somersalo, Kristina, Sims, Tasha N., Sumen, Cenk, Davis, Mark M., Shaw, Andrey S., Allen, Paul M., Dustin, Michael L.·2001·Annual Review of Immunology

Abstract

The adaptive immune response is initiated by the interaction of T cell antigen receptors with major histocompatibility complex molecule-peptide complexes in the nanometer scale gap between a T cell and an antigen-presenting cell, referred to as an immunological synapse. In this review we focus on the concept of immunological synapse formation as it relates to membrane structure, T cell polarity, signaling pathways, and the antigen-presenting cell. Membrane domains provide an organizational principle for compartmentalization within the immunological synapse. T cell polarization by chemokines increases T cell sensitivity to antigen. The current model is that signaling and formation of the immunological synapse are tightly interwoven in mature T cells. We also extend this model to natural killer cell activation, where the inhibitory NK synapse provides a striking example in which inhibition of signaling leaves the synapse in its nascent, inverted state. The APC may also play an active role in immunological synapse formation, particularly for activation of naïve T cells.

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Crossref · 10.1146/annurev.immunol.19.1.375

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Metadata

Authors
Bromley, S. K., Burack, W. R., Johnson, K. G., Somersalo, K., Sims, T. N., Sumen, C., Davis, M. M., Shaw, A. S., Allen, P. M., & Dustin, M. L.
Venue
Annual Review of Immunology
Published
2001-04
Volume
19
Issue
1
Pages
375-396
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2116364705
Cited by
979
References
1
FWCI
6.06
Type
journal article
Language
en
Open access
closed

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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.