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Sequence, structure, function, immunity: structural genomics of costimulation

delete2009-04-21
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OA
AI
K
Kausik Chattopadhyay
E
Eszter Lázár‐Molnár
Q
Qingrong Yan
R
Rotem Rubinstein
C
Chenyang Zhan
V
Vladimir Vigdorovich
U
U.A. Ramagopal
J
J.B. Bonanno
S
Stanley G. Nathenson
S
Steven C. Almo *
DOI:10.1111/j.1600-065X.2009.00778.xdelete
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摘要

摘要

En 中文
Costimulatory receptors and ligands trigger the signaling pathways that are responsible for modulating the strength, course, and duration of an immune response. High-resolution structures have provided invaluable mechanistic insights by defining the chemical and physical features underlying costimulatory receptor:ligand specificity, affinity, oligomeric state, and valency. Furthermore, these structures revealed general architectural features that are important for the integration of these interactions and their associated signaling pathways into overall cellular physiology. Recent technological advances in structural biology promise unprecedented opportunities for furthering our understanding of the structural features and mechanisms that govern costimulation. In this review, we highlight unique insights that have been revealed by structures of costimulatory molecules from the immunoglobulin and tumor necrosis factor superfamilies and describe a vision for future structural and mechanistic analysis of costimulation. This vision includes simple strategies for the selection of candidate molecules for structure determination and highlights the critical role of structure in the design of mutant costimulatory molecules for the generation of in vivo structure-function correlations in a mammalian model system. This integrated 'atoms-to-animals' paradigm provides a comprehensive approach for defining atomic and molecular mechanisms.
Keyword:
T-cell costimulation
structure
immunoglobulin superfamily
TNF
TNFR superfamily
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期刊

Immunological Reviews 封面图
Immunological Reviews
IF:
8.3
论文数:
3.3K
被引数:
1.8W

机构

Y
Yeshiva University
学者数:
1.7W
论文数: 1.3W
被引数: 2.7K
M
Montefiore Medical Center
学者数:
1.9W
论文数: 1.3W
被引数: 5.8K