黄昊 杜悠雯 谢瑞强 侯敏 冯陈晨 李琬 陈丽娜.基于人类信号网络和表达谱数据挖掘动脉粥样硬化相关模块[J].,2015,15(2):336-342 |
基于人类信号网络和表达谱数据挖掘动脉粥样硬化相关模块 |
Mining Atherosclerosis Related Modules Based on Human SingalingNetwork and Gene Expression Profile Data |
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DOI: |
中文关键词: 动脉粥样硬化 基因表达谱 人类信号网络 模块 |
英文关键词: Atherosclerosis Gene expression profile Human signaling network Module |
基金项目:国家自然科学基金项目(61272388);全国大学生创新创业训练基金(201210226011);黑龙江省自然科学基金项目(F201237) |
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中文摘要: |
目的:动脉粥样硬化是一种高致死率的慢性炎症疾病,其发生和发展的机制尚不明确。本文基于人类信号网络和基因表达谱
数据对动脉粥样硬化相关模块进行挖掘,以探究其在疾病发生发展中的作用机制。方法:结合人类信号网络和基因表达谱数据,
设计显著差异模块筛选策略,通过功能分析,挖掘动脉粥样硬化相关模块,对动脉粥样硬化的致病机制进行研究。结果:基于网络
模块的平均表达值改变量,采用两种随机方法,进行显著差异模块筛选,最终获得8 个动脉粥样硬化相关的显著差异模块。结论:
应用本文提出的整合筛选策略,能识别与动脉粥样硬化相关的模块,获得潜在的致病基因,并从外周血的基因表达改变来探究动
脉粥样硬化致病机制,这对动脉粥样硬化的诊断、治疗以及发生发展机制的研究具有重要意义。 |
英文摘要: |
Objective:Atherosclerosis is a chronic inflammation disease with high mortality rate, but its occurrence and
development mechanism are not clear. In this paper, atherosclerosis related modules were mined based on human signaling network and
gene expression profile data to explore their roles in the mechanisms of the disease development.Methods:Combined with human
signaling networks and gene expression data, a strategy was designed to screen significant differential module, mine atherosclerosis
related modules through functional analysis, and thus atherosclerosis pathogenic mechanismwas studied.Results:Based on the change in
mean expression value as well as two kinds of stochastic methods for screening, finally eight significant differential modules closely
related to atherosclerosis were obtained.Conclusion:Our integrated screening strategy could identify modules closely related to
atherosclerosis, obtain potentially pathogenic genes, and explore the pathogenesis of atherosclerosis based on the changes in gene
expression fromperipheral blood, which could have a great significance on the treatment, mechanismand development of atherosclerosis. |
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