DocumentCode
3034282
Title
Identification of a gene expression core signature for Duchenne muscular dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment
Author
Ichim-Moreno, Noru ; Aranda, Manuel ; Voolstra, Christian R.
Author_Institution
Red Sea Res. Center, King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
fYear
2010
fDate
2-5 May 2010
Firstpage
1
Lastpage
6
Abstract
Duchenne muscular dystrophy (DMD) is a recessive X-linked form of muscular dystrophy and one of the most prevalent genetic disorders of childhood. DMD is characterized by rapid progression of muscle degeneration, and ultimately death. Currently, glucocorticoids are the only available treatment for DMD, but they have been shown to result in serious side effects. The purpose of this research was to define a core signature of gene expression related to DMD via integrative analysis of mouse and human datasets. This core signature was subsequently used to screen for novel potential compounds that antagonistically affect the expression of signature genes. With this approach we were able to identify compounds that are 1) already used to treat DMD, 2) currently under investigation for treatment, and 3) so far unknown but promising candidates. Our study highlights the potential of meta-analyses through the combination of datasets to unravel previously unrecognized associations and reveal new relationships.
Keywords
biocomputing; muscle; DMD; Duchenne muscular dystrophy; gene expression core signature identification; genetic disorders; integrative analysis reveals novel potential compounds; muscle degeneration; Calcium; Cardiac disease; Degenerative diseases; Drugs; Gene expression; Genetic mutations; Humans; Mice; Muscles; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2010 IEEE Symposium on
Conference_Location
Montreal, QC
Print_ISBN
978-1-4244-6766-2
Type
conf
DOI
10.1109/CIBCB.2010.5510485
Filename
5510485
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