Issue No. 02 - March-April (2013 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCBB.2013.24
Camilla Bernardini , Inst. of Anatomy & Cell Biol., Univ. Cattolica del Sacro Cuore, Rome, Italy
Federica Censi , Dept. of Technol. & Health, Ist. Superiore di Sanita, Rome, Italy
Wanda Lattanzi , Inst. of Anatomy & Cell Biol., Univ. Cattolica del Sacro Cuore, Rome, Italy
Giovanni Calcagnini , Dept. of Technol. & Health, Ist. Superiore di Sanita, Rome, Italy
Alessandro Giuliani , Dept. of Environ. & Health, Ist. Superiore di Sanita, Rome, Italy
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.
Muscular dystrophy, Genetics, Principal component analysis
C. Bernardini, F. Censi, W. Lattanzi, G. Calcagnini and A. Giuliani, "Gene Regulation Networks in Early Phase of Duchenne Muscular Dystrophy," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 2, pp. 393-400, 2013.