A Systems Biology Roadmap to Decode mTOR Control System in Cancer

被引:27
作者
Dorvash, Mohammadreza [1 ,2 ]
Farahmandnia, Mohammad [2 ]
Tavassoly, Iman [3 ]
机构
[1] Shiraz Univ Med Sci, Pharmaceut Sci Res Ctr, Shiraz, Iran
[2] Shiraz Univ Med Sci, Fac Med, Cell & Mol Med Student Res Grp, Shiraz, Iran
[3] Icahn Sch Med Mt Sinai, Dept Pharmacol Sci, 1425 Madison Ave, New York, NY 10029 USA
关键词
Aging; Bistability; Cancer; Cell fate; Dynamic modeling; Mathematical models; mTOR; Oscillations; Signaling network; Systems biology; CIRCADIAN AUTOPHAGY RHYTHM; MESSENGER-RNA; MAMMALIAN TARGET; APPROACH REVEALS; DIURNAL RHYTHMS; STEM-CELLS; INHIBITORS; NETWORK; RAPAMYCIN; PATHWAY;
D O I
10.1007/s12539-019-00347-6
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Mechanistic target of rapamycin (mTOR) is a critical protein in the regulation of cell fate decision making, especially in cancer cells. mTOR acts as a signal integrator and is one of the main elements of interactions among the pivotal cellular processes such as cell death, autophagy, metabolic reprogramming, cell growth, and cell cycle. The temporal control of these processes is essential for the cellular homeostasis and dysregulation of mTOR signaling pathway results in different phenotypes, including aging, oncogenesis, cell survival, cell growth, senescence, quiescence, and cell death. In this paper, we have proposed a systems biology roadmap to study mTOR control system, which introduces the theoretical and experimental modalities to decode temporal and dynamical characteristics of mTOR signaling in cancer.
引用
收藏
页码:1 / 11
页数:11
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