European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK.
Systems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Sci Rep. 2018 Jan 12;8(1):643. doi: 10.1038/s41598-017-18400-z.
The mechanistic Target of Rapamycin (mTOR) signalling network is an evolutionarily conserved network that controls key cellular processes, including cell growth and metabolism. Consisting of the major kinase complexes mTOR Complex 1 and 2 (mTORC1/2), the mTOR network harbours complex interactions and feedback loops. The DEP domain-containing mTOR-interacting protein (DEPTOR) was recently identified as an endogenous inhibitor of both mTORC1 and 2 through direct interactions, and is in turn degraded by mTORC1/2, adding an extra layer of complexity to the mTOR network. Yet, the dynamic properties of the DEPTOR-mTOR network and the roles of DEPTOR in coordinating mTORC1/2 activation dynamics have not been characterised. Using computational modelling, systems analysis and dynamic simulations we show that DEPTOR confers remarkably rich and complex dynamic behaviours to mTOR signalling, including abrupt, bistable switches, oscillations and co-existing bistable/oscillatory responses. Transitions between these distinct modes of behaviour are enabled by modulating DEPTOR expression alone. We characterise the governing conditions for the observed dynamics by elucidating the network in its vast multi-dimensional parameter space, and develop strategies to identify core network design motifs underlying these dynamics. Our findings provide new systems-level insights into the complexity of mTOR signalling contributed by DEPTOR.
雷帕霉素靶蛋白(mTOR)信号通路是一个进化上保守的网络,它控制着包括细胞生长和代谢在内的关键细胞过程。由主要激酶复合物 mTOR 复合物 1 和 2(mTORC1/2)组成,mTOR 网络具有复杂的相互作用和反馈回路。最近发现的 DEP 结构域包含的 mTOR 相互作用蛋白(DEPTOR)通过直接相互作用被鉴定为 mTORC1 和 mTORC2 的内源性抑制剂,并且反过来又被 mTORC1/2 降解,这为 mTOR 网络增加了一个额外的复杂性层次。然而,DEPTOR-mTOR 网络的动态特性以及 DEPTOR 在协调 mTORC1/2 激活动力学中的作用尚未得到表征。我们使用计算建模、系统分析和动态模拟表明,DEPTOR 赋予了 mTOR 信号显著丰富和复杂的动态行为,包括突然的、双稳态开关、振荡和共存的双稳态/振荡反应。通过单独调节 DEPTOR 的表达,可以实现这些不同行为模式之间的转换。我们通过阐明网络在其巨大的多维参数空间中的特性来描述观察到的动力学的控制条件,并制定了识别这些动力学背后核心网络设计模式的策略。我们的研究结果为 DEPTOR 对 mTOR 信号复杂性提供了新的系统级见解。