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Regulation of mTORC1 by PI3K signaling.PI3K信号通路对mTORC1的调控。
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Deactivation of a negative regulator: a distinct signal transduction mechanism, pronounced in Akt signaling.负调控因子的失活:一种独特的信号转导机制,在Akt信号传导中表现明显。
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Phosphorylation of PRAS40 on Thr246 by PKB/AKT facilitates efficient phosphorylation of Ser183 by mTORC1.蛋白激酶 B/AKT 对 PRAS40 丝氨酸 246 的磷酸化作用促进了 mTORC1 对丝氨酸 183 的有效磷酸化。
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Akt/雷帕霉素复合物1(mTORC1)信号轴的动力学建模与分析揭示了协同、前馈调节。

Kinetic Modeling and Analysis of the Akt/Mechanistic Target of Rapamycin Complex 1 (mTORC1) Signaling Axis Reveals Cooperative, Feedforward Regulation.

作者信息

Rahman Anisur, Haugh Jason M

机构信息

From the Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, 27695-7905.

From the Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, 27695-7905

出版信息

J Biol Chem. 2017 Feb 17;292(7):2866-2872. doi: 10.1074/jbc.M116.761205. Epub 2017 Jan 9.

DOI:10.1074/jbc.M116.761205
PMID:28069808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5314181/
Abstract

Mechanistic target of rapamycin complex 1 (mTORC1) controls biosynthesis and has been implicated in uncontrolled cell growth in cancer. Although many details of mTORC1 regulation are well understood, a systems-level, predictive framework synthesizing those details is currently lacking. We constructed various mathematical models of mTORC1 activation mediated by Akt and aligned the model outputs to kinetic data acquired for growth factor-stimulated cells. A model based on a putative feedforward loop orchestrated by Akt consistently predicted how the pathway was altered by depletion of key regulatory proteins. Analysis of the successful model also elucidates two dynamical motifs: neutralization of a negative regulator, which characterizes how Akt indirectly activates mTORC1, and seesaw enzyme regulation, which describes how activated and inhibited states of mTORC1 are controlled in concert to produce a nonlinear, ultrasensitive response. Such insights lend quantitative understanding of signaling networks and their precise manipulation in various contexts.

摘要

雷帕霉素复合物1的机制性靶点(mTORC1)控制生物合成,并与癌症中不受控制的细胞生长有关。尽管mTORC1调控的许多细节已被充分理解,但目前仍缺乏一个综合这些细节的系统层面的预测框架。我们构建了由Akt介导的mTORC1激活的各种数学模型,并将模型输出与生长因子刺激细胞获得的动力学数据进行比对。基于由Akt精心编排的假定前馈回路的模型一致地预测了该通路如何因关键调节蛋白的缺失而改变。对成功模型的分析还阐明了两个动态基序:负调节因子的中和,其表征了Akt如何间接激活mTORC1;以及跷跷板酶调节,其描述了mTORC1的激活和抑制状态如何协同控制以产生非线性的超敏反应。这些见解有助于对信号网络及其在各种情况下的精确操纵进行定量理解。