Understanding natural killer cell regulation by mathematical approaches

被引:8
|
作者
Watzl, Carsten [1 ]
Sternberg-Simon, Michal [2 ]
Urlaub, Doris [1 ]
Mehr, Ramit [2 ]
机构
[1] IfADo Leibniz Inst Occupat Res, Dortmund, Germany
[2] Bar Ilan Univ, Mina & Everard Goodman Fac Life Sci, Ramat Gan, Israel
来源
FRONTIERS IN IMMUNOLOGY | 2012年 / 3卷
基金
以色列科学基金会;
关键词
natural killer cells; mathematical modeling; systems biology; signaling pathways; activating receptors; inhibitory receptors; proliferation;
D O I
10.3389/fimmu.2012.00359
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The activity of natural killer (NK) cells is regulated by various processes including education/licensing, priming, integration of positive and negative signals through an array of activating and inhibitory receptors, and the development of memory-like functionality. These processes are often very complex due to the large number of different receptors and signaling pathways involved. Understanding these complex mechanisms is therefore a challenge, but is critical for understanding NK cell regulation. Mathematical approaches can facilitate the analysis and understanding of complex systems. Therefore, they may be instrumental for studies in NK cell biology. Here we provide a review of the different mathematical approaches to the analysis of NK cell signal integration, activation, proliferation, and the acquisition of inhibitory receptors. These studies show how mathematical methods can aid the analysis of NK cell regulation.
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页数:5
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