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作 者:李连胜[1] 汪利[1] 宋朝娜 邹宇情 娄哲琪 黄昊[1] 陈丽娜[1] Li Liansh- eng Wang Li Song Chaona Zou Yuqing Lou Zheqi Huang Hao Chen Lina(Harbin Medical University College of Bioinformatics Science and Technology ,Harbin 150081, China)
出 处:《国际免疫学杂志》2017年第1期6-10,共5页International Journal of Immunology
基 金:基金项目:国家自然科学基金项目(61272388);黑龙江省自然科学基金项目(F201237);国家及黑龙江省大学生创新创业训练基金项目(201410226010、201610226066、201610226012).
摘 要:目的探讨T细胞在动脉粥样硬化形成和发展中的作用机理。方法基于人类信号网络和动脉粥样硬化相关T细胞转录组表达谱数据,采用ClusterOne方法并通过随机差异显著性检验识别疾病相关候选模块,进一步通过功能富集分析筛选出动脉硬化显著相关风险模块。结果共识别出5个动脉粥样硬化显著相关风险模块和19个在模块中处于中心地位且具有功能一致性的潜在疾病基因。结论基于人类信号网络,采用疾病显著相关风险模块识别策略,不仅能识别出与疾病密切相关的风险模块和潜在致病基因,还为T细胞在致动脉粥样硬化的作用研究提供新的视角。Objective To explore the pathogenesis of T-cells in the formation and development of ath- erosclerosis. Methods Significant differential permutation test based on the human signaling network and the data of gene expression profile containing normal and atherosclerosis samples with RNA expressions from T cells. Candidate Atherosclerosis-related Modules were identified using ClusterOne. Atherosclerosis-related Mod- ules were identified using functional enrichment analysis. Results Nineteen potential atherosclerosis genes which played central roles and have consistent functions in modules( five atheroselerosis-related modules) were identified. Conclusion Based on a human signaling network, the atherosclerosis related module identification approach could not only identify modules and potential atherosclerosis genes closely related to disease, but also provide a new perspective for the pathogenesis of T cells in atherosclerosis.
分 类 号:R543.5[医药卫生—心血管疾病]
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