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:
Physica A: Statistical Mechanics and Its Applications
影响因子:
--
通讯作者:
Zhang Xu-Sheng
Zhang Xu-Sheng
中科院分区:
其他
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

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复杂网络方法已成为描述大量生物数据之间相互关系的有效方法,尤其适用于发现生物系统的核心功能和全局行为。高血压是一种复杂的疾病,其发病原因包括遗传、生理、心理甚至社会因素。本文基于生物学通路信息,构建盐敏感大鼠高血压相关基因网络模型,探讨基因间的相互关系。统计和拓扑特征表明,该网络具有小世界但非无标度性质,并呈现模块化结构,揭示了基因间紧密而复杂的联系。以整合中心度大于0.71为阈值,筛选出Jun、Rps 6 kb 1、Cycs、Creb 312、Cdk 4、Actg 1和RT 1-Da等7个关键枢纽基因,这些基因在高血压发病中起重要作用,提示高血压的治疗应注重多基因联合用药。
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.
DOI: 10.1007/s11906-010-0167-6
发表时间: 2011-02
影响因子: 5.6
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