Identification of a gene expression core signature for Duchenne Muscular Dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment

Handle URI:
http://hdl.handle.net/10754/564277
Title:
Identification of a gene expression core signature for Duchenne Muscular Dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment
Authors:
Ichim-Moreno, Norú; Aranda, Manuel ( 0000-0001-6673-016X ) ; Voolstra, Christian R. ( 0000-0003-4555-3795 )
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. © IEEE.
KAUST Department:
Red Sea Research Center (RSRC); Biological and Environmental Sciences and Engineering (BESE) Division; Marine Science Program; Reef Genomics Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
Conference/Event name:
2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010
Issue Date:
May-2010
DOI:
10.1109/CIBCB.2010.5510485
Type:
Conference Paper
ISBN:
9781424467662
Appears in Collections:
Conference Papers; Red Sea Research Center (RSRC); Marine Science Program; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorIchim-Moreno, Norúen
dc.contributor.authorAranda, Manuelen
dc.contributor.authorVoolstra, Christian R.en
dc.date.accessioned2015-08-04T06:21:50Zen
dc.date.available2015-08-04T06:21:50Zen
dc.date.issued2010-05en
dc.identifier.isbn9781424467662en
dc.identifier.doi10.1109/CIBCB.2010.5510485en
dc.identifier.urihttp://hdl.handle.net/10754/564277en
dc.description.abstractDuchenne 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. © IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleIdentification of a gene expression core signature for Duchenne Muscular Dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatmenten
dc.typeConference Paperen
dc.contributor.departmentRed Sea Research Center (RSRC)en
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentMarine Science Programen
dc.contributor.departmentReef Genomics Laben
dc.identifier.journal2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biologyen
dc.conference.date2 May 2010 through 5 May 2010en
dc.conference.name2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010en
dc.conference.locationMontreal, QCen
kaust.authorAranda, Manuelen
kaust.authorVoolstra, Christian R.en
kaust.authorIchim-Moreno, Norúen
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