摘要
动脉粥样硬化是由脂质在血管壁积累造成的一种复杂疾病,受多种遗传因素和环境因素影响。本文为了更好地理解动脉粥样硬化的分子调控机制,构建了与动脉粥样硬化相关的蛋白质互作网络。首先从核酸数据库和生物分子对象网络数据库(BOND)中下载相关的基因数据以及互作信息,将数据导入Cytoscape软件构建蛋白质互作网络,利用度分布挖掘Hub蛋白,借助KOBAS 2.0在线服务器来识别显著相关的通路和疾病,最后构建出与疾病相关的生物学通路网络。总之,本文挖掘出了一系列与动脉粥样硬化相关的关键分子,这些关键分子有可能成为有效预防动脉粥样硬化或相关治疗药物的新靶标。
Atherosclerosis is a complex disease characterized by lipid accumulation in the vascular wall and influenced by multiple genetic and environmental factors. To understand the mechanisms of molecular regulation related to ath- erosclerosis better, a protein interaction network was constructed in the present study. Genes were collected in nu- cleotide database and interactions were downloaded from Biomolecular Object Network Database (BOND). The in- teractional data were imported into the software Cytoscape to construct the interaction network, and then the degree characteristics of the network were analyzed for Hub proteins. Statistical significance pathways and diseases were figured out by inputting Hub proteins to KOBAS2.0. The complete pathway network related to atherosclerosis was constructed. The results identified a series of key genes related to atherosclerosis, which would be the potential promising drug targets for effective prevention.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2015年第6期1255-1260,共6页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(31200705)
华南理工大学中央高校基本科研业务费重点资助项目(2014ZZ0051)