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Resolving protein interactions and organization downstream the T cell antigen receptor using single-molecule localization microscopy: a review
被引:7
作者:
Sherman, Eilon
[1
]
机构:
[1] Hebrew Univ Jerusalem, Racah Inst Phys, IL-91904 Jerusalem, Israel
关键词:
super resolution microscopy;
protein interaction;
T cell activation;
single molecule;
photoactivated localization microscopy;
signaling complexes;
second order statistics;
OPTICAL RECONSTRUCTION MICROSCOPY;
DIFFUSION-LIMITED AGGREGATION;
KINETIC CRITICAL PHENOMENON;
SUPERRESOLUTION MICROSCOPY;
SIGNALING MOLECULES;
FLUORESCENT-PROBES;
LIVING CELLS;
IMMUNOLOGICAL SYNAPSE;
LIPID RAFTS;
ACTIVATION;
D O I:
10.1088/2050-6120/4/2/022002
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
Signal transduction is mediated by heterogeneous and dynamic protein complexes. Such complexes play a critical role in diverse cell functions, with the important example of T cell activation. Biochemical studies of signalling complexes and their imaging by diffraction limited microscopy have resulted in an intricate network of interactions downstream the T cell antigen receptor (TCR). However, in spite of their crucial roles in T cell activation, much remains to be learned about these signalling complexes, including their heterogeneous contents and size distribution, their complex arrangements in the PM, and the molecular requirements for their formation. Here, we review how recent advancements in single molecule localization microscopy have helped to shed new light on the organization of signalling complexes in single molecule detail in intact T cells. From these studies emerges a picture where cells extensively employ hierarchical and dynamic patterns of nano-scale organization to control the local concentration of interacting molecular species. These patterns are suggested to play a critical role in cell decision making. The combination of SMLM with more traditional techniques is expected to continue and critically contribute to our understanding of multimolecular protein complexes and their significance to cell function.
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