首页> 美国卫生研究院文献>Scientific Reports >Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR
【2h】

Dynamic modelling of the mTOR signalling network reveals complex emergent behaviours conferred by DEPTOR

机译:mTOR信号网络的动态建模揭示了DEPTOR赋予的复杂紧急行为

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译:雷帕霉素(mTOR)信号传导机制的靶标是一种进化保守的网络,可控制关键的细胞过程,包括细胞生长和代谢。 mTOR网络由主要的激酶复合物mTOR复合物1和2(mTORC1 / 2)组成,具有复杂的相互作用和反馈回路。含有DEP结构域的mTOR相互作用蛋白(DEPTOR)最近通过直接相互作用被鉴定为是mTORC1和2的内源性抑制剂,进而被mTORC1 / 2降解,为mTOR网络增加了一层额外的复杂性。然而,尚未描述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。通过使用计算建模,系统分析和动态仿真,我们表明DEPTOR赋予mTOR信号显着丰富而复杂的动态行为,包括突然的,双稳态开关,振荡和双稳态/振荡响应共存。通过单独调制DEPTOR表达,可以在这些不同的行为模式之间进行转换。我们通过阐明其庞大的多维参数空间中的网络来表征所观察到的动力学的控制条件,并开发策略来识别这些动力学背后的核心网络设计主题。我们的发现为DEPTOR贡献的mTOR信号复杂性提供了新的系统级见解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号