【摘要】 目的基于系统生物学理论和生物信息学方法,识别缺血性心肌病(ischemic cardiomyopathy,ICM)易感基因。方法从包含缺血性心肌病和正常样本的测序数据获得各样本的mRNA、miRNA和lncRNA的表达数据,在疾病组和对照组中分别构建显著表达差异三元组,将其中富集到疾病相关功能类中的差异基因作为疾病候选易感基因。进一步将在疾病相关功能类中且单一和组合均能较好区分疾病和正常样本的候选易感基因作为缺血性心肌病易感基因。结果结合高通量基因组信息和功能性分析,识别出了8个缺血性心肌病易感基因,其所在显著表达差异三元组也能够有效地分类样本。结论识别出的缺血性心肌病易感基因有助于缺血性心肌病的诊断、治疗以及疾病机制的研究。更多还原

【Abstract】 Objective To identify ischemic cardiomyopathy(ICM) susceptibility genes based on system biology theory and bioinformatics methods.Methods Expression data of mRNAs,miRNAs and lncRNAs of each sample were obtained from sequencing data containing ICM and normal samples.Then,significantly expression differential mRNA-miRNA-lncRNA groups were constructed from disease and control groups,respectively.Differential genes of these groups enriched in disease-related functional categories were screened as candidate susceptible genes.ICM susceptibility genes were further defined as candidate susceptible genes that were in disease-related functional categories and could classify disease and normal samples in both single and combination.Results With high-throughput genomic information and functional analysis,8 ICM susceptibility genes were identified,and their significantly expression differential mRNAmiRNA-lncRNA groups were also able to classify samples effectively.Conclusion The ICM susceptibility genes identified in this study will contribute to the diagnosis and treatment of ICM and the study of disease mechanisms.更多还原