Yin and Yang of reciprocally scale-free biological networks between disease genes and death genes

Ju Han Kim
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Abstract

Summary form only given. Biological networks often show a scale-free power-law distribution. Furthermore, leathal genes tend to form functional hubs whereas non-leathal disease genes are located at the periphery. Uni-dimensional analyses, however, are flawed. Here we report two distinct scale-free networks; a protein-protein interaction (PPI) and a perturbation-sensitivity (PSN) network. Hubs of both networks demonstrate a low molecular evolutionary rate and a high codon adaptation index, indicating that both hubs have been shaped under high evolutionary selective pressure. Moreover, the topologies of PPI and PSN are inversely proportional: hubs of PPI tend to be located at the periphery of PSN and vice versa. PPI hubs are highly enriched with lethal genes whereas PSN hubs with disease genes and drug targets. PPI network hubs are enriched with essential cellular processes whereas PSN hubs with environmental interactions like TATA boxes and transcription factor binding sites. It is concluded that biological systems may balance internal growth signaling and external stress signaling by unifying the two opposite scale-free networks that are reciprocal to each other but work in concert between death and disease.
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阴阳在疾病基因和死亡基因之间相互无标度的生物网络
只提供摘要形式。生物网络通常表现为无标度幂律分布。此外,致死性基因往往形成功能枢纽,而非致死性疾病基因位于外围。然而,单维分析是有缺陷的。这里我们报告了两个不同的无标度网络;蛋白质-蛋白质相互作用(PPI)和扰动敏感性(PSN)网络。这两个网络的枢纽显示出低分子进化速率和高密码子适应指数,表明这两个枢纽都是在高进化选择压力下形成的。此外,PPI和PSN的拓扑结构成反比:PPI的枢纽往往位于PSN的外围,反之亦然。PPI中心高度富集致死基因,而PSN中心具有疾病基因和药物靶点。PPI网络集线器富含必要的细胞过程,而PSN集线器具有环境相互作用,如TATA盒和转录因子结合位点。结论是,生物系统可能通过统一两个相反的无标度网络来平衡内部生长信号和外部应激信号,这两个网络相互作用,但在死亡和疾病之间协同工作。
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