A pathway-based network analysis of hypertension-related genes
A pathway-based network analysis of hypertension-related genes
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基于通路的高血压相关基因网络分析
DOI:
10.1016/j.physa.2015.10.048
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发表时间:
2016-01
期刊:
影响因子:
--
通讯作者:
Zhang Xu-Sheng
中科院分区:
文献类型:
--
作者:
Wang Huan;Hu Jing-Bo;Xu Chuan-Yun;Zhang De-Hai;Yan Qian;Xu Ming;Cao Ke-Fei;Zhang Xu-Sheng
Complex network approach has become an effective way to describe interrelationships among large amounts of biological data, which is especially useful in finding core functions and global behavior of biological systems. Hypertension is a complex disease caused by many reasons including genetic, physiological, psychological and even social factors. In this paper, based on the information of biological pathways, we construct a network model of hypertension-related genes of the salt-sensitive rat to explore the interrelationship between genes. Statistical and topological characteristics show that the network has the small-world but not scale-free property, and exhibits a modular structure, revealing compact and complex connections among these genes. By the threshold of integrated centrality larger than 0.71, seven key hub genes are found:Jun,Rps6kb1,Cycs,Creb312,Cdk4,Actg1andRT1-Da. These genes should play an important role in hypertension, suggesting that the treatment of hypertension should focus on the combination of drugs on multiple genes.
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影响因子:
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通讯作者:
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DOI:
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DOI:
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