Università Cattolica del Sacro Cuore, Rome, Italy.
IEEE/ACM Trans Comput Biol Bioinform. 2013 Mar-Apr;10(2):393-400. doi: 10.1109/TCBB.2013.24.
The aim of this study was to analyze previously published gene expression data of skeletal muscle biopsies of Duchenne muscular dystrophy (DMD) patients and controls (gene expression omnibus database, accession #GSE6011) using systems biology approaches. We applied an unsupervised method to discriminate patient and control populations, based on principal component analysis, using the gene expressions as units and patients as variables. The genes having the highest absolute scores in the discrimination between the groups, were then analyzed in terms of gene expression networks, on the basis of their mutual correlation in the two groups. The correlation network structures suggest two different modes of gene regulation in the two groups, reminiscent of important aspects of DMD pathogenesis.
本研究旨在使用系统生物学方法分析先前发表的杜氏肌营养不良症（DMD）患者和对照组骨骼肌活检的基因表达数据（基因表达综合数据库，注册号#GSE6011）。我们应用无监督方法，基于主成分分析，使用基因表达作为单位，患者作为变量，对患者和对照组进行区分。然后，根据两组之间的相互相关性，对具有最高分组差异绝对值的基因进行基因表达网络分析。相关网络结构提示两组存在两种不同的基因调控模式，这让人联想到 DMD 发病机制的重要方面。
