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On the Increase in Network Robustness and Decrease in Network Response Ability during the Aging Process: A Systems Biology Approach via Microarray Data

机译:在老化过程中网络健壮性的提高和网络响应能力的下降:通过微阵列数据的系统生物学方法

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Aging, an extremely complex and system-level process, has attracted much attention in medical research, especially since chronic diseases are quite prevalent in the elderly population. These may be the result of both gene mutations that lead to intrinsic perturbations and environmental changes that may stimulate signaling in the body. Therefore, analysis of network robustness to tolerate intrinsic perturbations and network response ability of gene networks to respond to external stimuli during the aging process may provide insight into the systematic changes caused by aging. We first propose novel methods to estimate network robustness and measure network response ability of gene regulatory networks by using their corresponding microarray data in the aging process. Then, we find that an aging-related gene network is more robust to intrinsic perturbations in the elderly than the young, and therefore is less responsive to external stimuli. Finally, we find that the response abilities of individual genes, especially FOXOs, NF-κB, and p53, are significantly different in the young versus the aged subjects. These observations are consistent with experimental findings in the aged population, e.g., elevated incidence of tumorigenesis and diminished resistance to oxidative stress. The proposed method can also be used for exploring and analyzing the dynamic properties of other biological processes via corresponding microarray data to provide useful information on clinical strategy and drug target selection.
机译:衰老是一个非常复杂且系统级的过程,在医学研究中引起了很多关注,特别是由于慢性病在老年人群中非常普遍。这些可能是导致内在干扰的两种基因突变和可能刺激体内信号传导的环境变化的结果。因此,分析网络在耐受衰老过程中对内在干扰和基因网络响应外部刺激的网络响应能力的鲁棒性,可以为衰老引起的系统性变化提供洞察力。我们首先提出新的方法来估计网络的鲁棒性,并通过在老化过程中使用它们相应的微阵列数据来测量基因调控网络的网络响应能力。然后,我们发现与衰老相关的基因网络对老年人的内在扰动要比年轻人更健壮,因此对外界刺激的反应较弱。最后,我们发现个体基因,特别是FOXOs,NF-κB和p53的反应能力在年轻与老年受试者中有显着差异。这些观察结果与老年人群中的实验结果一致,例如,肿瘤发生的发生率升高和对氧化应激的抵抗力降低。所提出的方法还可以用于通过相应的微阵列数据探索和分析其他生物学过程的动力学特性,以提供有关临床策略和药物靶点选择的有用信息。

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