Network analysis reveals a stress-affected common gene module among seven stress-related diseases/systems which provides potential targets for mechanism research.

Network analysis reveals a stress-affected common gene module among seven stress-related diseases/systems which provides potential targets for mechanism research.
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网络分析揭示了七种应激相关疾病/系统中受应激影响的共同基因模块,为机制研究提供了潜在的目标。

DOI:
10.1038/srep12939
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发表时间:
2015-08-06
期刊:
影响因子:
4.6
通讯作者:
Wang J
Wang J
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Guo L;Du Y;Wang J

文献摘要

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据报道,慢性应激(CS)与许多复杂的疾病和应激相关的疾病表现出强烈的共病性,然而,迄今为止尚未进行分子分析,以评估这些疾病中常见的应激诱导的生物学过程。我们利用来自7个与压力相关的疾病或系统的基因数据库的基因构建的网络来探索共同的机制。基因是基于它们编码的蛋白质的相互作用信息连接起来的。在7个网络中,发现了一个由561个重叠基因和8863条重叠边构成的共同子网络,它提供了7个应激相关疾病/系统的共同基因模块。该模块与CS基因数据库中的基因构建的网络有很大的重叠。从7个网络中筛选出36个高连通性基因(hub基因),其中33个hub基因包含在共同模块中。共同模块中的基因被富集在190个相互作用的基因本体(GO)功能簇中,这些功能簇提供了潜在的疾病机制。总之,通过分析基因网络,我们发现了一个受压力影响的共同基因模块之间的7个压力相关的疾病/系统,这提供了深入了解疾病的压力诱导过程,并建议潜在的基因和途径的候选人进行进一步的研究。
Chronic stress (CS) was reported to associate with many complex diseases and stress-related diseases show strong comorbidity; however, molecular analyses have not been performed to date to evaluate common stress-induced biological processes across these diseases. We utilized networks constructed by genes from seven genetic databases of stress-related diseases or systems to explore the common mechanisms. Genes were connected based on the interaction information of proteins they encode. A common sub-network constructed by 561 overlapping genes and 8863 overlapping edges among seven networks was identified and it provides a common gene module among seven stress-related diseases/systems. This module is significantly overlapped with network that constructed by genes from the CS gene database. 36 genes with high connectivity (hub genes) were identified from seven networks as potential key genes in those diseases/systems, 33 of hub genes were included in the common module. Genes in the common module were enriched in 190 interactive gene ontology (GO) functional clusters which provide potential disease mechanism. In conclusion, by analyzing gene networks we revealed a stress-affected common gene module among seven stress-related diseases/systems which provides insight into the process of stress induction of disease and suggests potential gene and pathway candidates for further research.