Title :
Gene Regulation Networks in Early Phase of Duchenne Muscular Dystrophy
Author :
Bernardini, Cesar ; Censi, Federica ; Lattanzi, Wanda ; Calcagnini, Giovanni ; Giuliani, Alessandro
Author_Institution :
Inst. of Anatomy & Cell Biol., Univ. Cattolica del Sacro Cuore, Rome, Italy
Abstract :
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.
Keywords :
bioinformatics; biomedical engineering; data analysis; diseases; genetics; molecular biophysics; muscle; principal component analysis; DMD control; DMD pathogenesis; DMD patient; control population; correlation network structure; early Duchenne muscular dystrophy phase; gene absolute score; gene expression data analysis; gene expression network; gene expression omnibus database; gene mutual correlation; gene regulation network; patient population; principal component analysis; skeletal muscle biopsy; system biology approach; unsupervised discrimination method; Genetics; Muscular dystrophy; Principal component analysis; Duchenne muscular dystrophy; gene regulation networks; principal component analysis; Databases, Genetic; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; Humans; Muscular Dystrophy, Duchenne; Oligonucleotide Array Sequence Analysis; Principal Component Analysis; Systems Biology;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2013.24