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Understanding natural killer cell regulation by mathematical approaches

期刊

FRONTIERS IN IMMUNOLOGY
卷 3, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2012.00359

关键词

natural killer cells; mathematical modeling; systems biology; signaling pathways; activating receptors; inhibitory receptors; proliferation

资金

  1. Israel Science Foundation [759/01, 1503/08]
  2. Human Frontiers Science Program - a Young Investigator Grant
  3. Teva Pharmaceuticals
  4. Deutsche Forschungsgemeinschaft [TRR83-TP16, WA 1552/2-1]
  5. BMBF (BioFuture grant)
  6. BMBF (Helmholtz-Alliance on Systems Biology, SBCancer)
  7. Deutsche Krebshilfe

向作者/读者索取更多资源

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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