Publication Date:
2003-09-27
Description:
The immunological synapse is a specialized cell-cell junction between T cell and antigen-presenting cell surfaces. It is characterized by a central cluster of antigen receptors, a ring of integrin family adhesion molecules, and temporal stability over hours. The role of this specific organization in signaling for T cell activation has been controversial. We use in vitro and in silico experiments to determine that the immunological synapse acts as a type of adaptive controller that both boosts T cell receptor triggering and attenuates strong signals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Kyeong-Hee -- Dinner, Aaron R -- Tu, Chun -- Campi, Gabriele -- Raychaudhuri, Subhadip -- Varma, Rajat -- Sims, Tasha N -- Burack, W Richard -- Wu, Hui -- Wang, Julia -- Kanagawa, Osami -- Markiewicz, Mary -- Allen, Paul M -- Dustin, Michael L -- Chakraborty, Arup K -- Shaw, Andrey S -- New York, N.Y. -- Science. 2003 Nov 14;302(5648):1218-22. Epub 2003 Sep 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology and Immunology, Washington University School of Medicine, Box 8118, 660 South Euclid, Saint Louis, MO 63110, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14512504" target="_blank"〉PubMed〈/a〉
Keywords:
Adaptor Proteins, Signal Transducing
;
Animals
;
Antigen-Presenting Cells/immunology
;
Antigens/immunology
;
Cell Membrane/immunology/metabolism
;
Computer Simulation
;
Cytoskeletal Proteins
;
Down-Regulation
;
Endocytosis
;
Ligands
;
Lipid Bilayers
;
*Lymphocyte Activation
;
Major Histocompatibility Complex
;
Mice
;
Mice, Transgenic
;
Microscopy, Confocal
;
Models, Immunological
;
Monte Carlo Method
;
Peptides/immunology/metabolism
;
Phosphorylation
;
Protein-Tyrosine Kinases/metabolism
;
Proteins/metabolism
;
Receptor Aggregation
;
Receptors, Antigen, T-Cell/immunology/*metabolism
;
*Signal Transduction
;
T-Lymphocytes/*immunology/metabolism
;
ZAP-70 Protein-Tyrosine Kinase
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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