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mTOR相关生物调控网络的形式化建模揭示了癌症治疗的新策略。

Formal Modeling of mTOR Associated Biological Regulatory Network Reveals Novel Therapeutic Strategy for the Treatment of Cancer.

作者信息

Bibi Zurah, Ahmad Jamil, Siddiqa Amnah, Paracha Rehan Z, Saeed Tariq, Ali Amjad, Janjua Hussnain Ahmed, Ullah Shakir, Ben Abdallah Emna, Roux Olivier

机构信息

Research Centre for Modeling and Simulation, National University of Sciences and TechnologyIslamabad, Pakistan.

Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and TechnologyIslamabad, Pakistan.

出版信息

Front Physiol. 2017 Jun 13;8:416. doi: 10.3389/fphys.2017.00416. eCollection 2017.

Abstract

Cellular homeostasis is a continuous phenomenon that if compromised can lead to several disorders including cancer. There is a need to understand the dynamics of cellular proliferation to get deeper insights into the prevalence of cancer. Mechanistic Target of Rapamycin (mTOR) is implicated as the central regulator of the metabolic pathway involved in growth whereas its two distinct complexes mTORC1 and mTORC2 perform particular functions in cellular propagation. To date, mTORC1 is a well defined therapeutic target to inhibit uncontrolled cell division, while the role of mTORC2 is not well characterized. Therefore, the current study is designed to understand the signaling dynamics of mTOR and its partner proteins such as PI3K, PTEN, mTORC2, PKB (Akt), mTORC1, and FOXO. For this purpose, a qualitative model of mTOR-associated Biological Regulatory Network (BRN) is constructed to predict its regulatory behaviors which may not be predictable otherwise. The depleted expression of PTEN and FOXO along with the overexpression of PI3K, mTORC2, mTORC1 and Akt is predicted as a stable steady state which is in accordance with their observed expression levels in the progression of various cancers. The qualitative model also predicts the homeostasis of all the entities in the form of qualitative cycles. The significant qualitative (discrete) cycle is identified by analyzing betweenness centralities of the qualitative (discrete) states. This cycle is further refined as a linear hybrid automaton model with the production (activation) and degradation (inhibition) time delays in order to analyze the real-time constraints for its existence. The analysis of the hybrid model provides a formal proof that during homeostasis the inhibition time delay of Akt is less than the inhibition time delay of mTORC2. In conclusion, our observations characterize that in homeostasis Akt is degraded with a faster rate than mTORC2 which suggests that the inhibition of Akt along with the activation of mTORC2 may be a better therapeutic strategy for the treatment of cancer.

摘要

细胞稳态是一种持续的现象,一旦受到破坏,可能会导致包括癌症在内的多种疾病。有必要了解细胞增殖的动态过程,以便更深入地洞察癌症的流行情况。雷帕霉素的机制性靶点(mTOR)被认为是参与生长的代谢途径的核心调节因子,而其两个不同的复合物mTORC1和mTORC2在细胞增殖中发挥着特定的功能。迄今为止,mTORC1是抑制不受控制的细胞分裂的一个明确的治疗靶点,而mTORC2的作用尚未得到充分表征。因此,本研究旨在了解mTOR及其伙伴蛋白如PI3K、PTEN、mTORC2、蛋白激酶B(Akt)、mTORC1和FOXO的信号动态。为此,构建了一个与mTOR相关的生物调节网络(BRN)的定性模型,以预测其调节行为,否则这些行为可能无法预测。PTEN和FOXO的表达缺失以及PI3K、mTORC2、mTORC1和Akt的过表达被预测为一种稳定的稳态,这与它们在各种癌症进展中观察到的表达水平一致。定性模型还以定性循环的形式预测了所有实体的稳态。通过分析定性(离散)状态的介数中心性,确定了重要的定性(离散)循环。该循环进一步被细化为一个线性混合自动机模型,该模型具有产生(激活)和降解(抑制)时间延迟,以便分析其存在的实时约束条件。对混合模型的分析提供了一个形式化的证明,即在稳态期间,Akt的抑制时间延迟小于mTORC2的抑制时间延迟。总之,我们的观察结果表明,在稳态中,Akt的降解速度比mTORC2快,这表明抑制Akt并激活mTORC2可能是治疗癌症的更好策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf3/5468443/d7d55348baaf/fphys-08-00416-g0001.jpg

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