@article {26631,
	title = {Gene expression profiling of Duchenne muscular dystrophy skeletal muscle},
	journal = {NeurogeneticsNeurogeneticsNeurogenetics},
	volume = {4},
	number = {4},
	year = {2003},
	note = {Haslett, Judith NSanoudou, DespinaKho, Alvin THan, MeiBennett, Richard RKohane, Isaac SBeggs, Alan HKunkel, Louis MengP01 NS040828/NS/NINDS NIH HHS/NS40828-01A1/NS/NINDS NIH HHS/R01 AR44349/AR/NIAMS NIH HHS/U 01 HL066582-01/HL/NHLBI NIH HHS/Research Support, Non-U.S. Gov{\textquoteright}tResearch Support, U.S. Gov{\textquoteright}t, P.H.S.2003/04/17 05:00Neurogenetics. 2003 Aug;4(4):163-71. doi: 10.1007/s10048-003-0148-x. Epub 2003 Apr 16.},
	month = {Aug},
	pages = {163-71},
	abstract = {The primary cause of Duchenne muscular dystrophy (DMD) is a mutation in the dystrophin gene, leading to absence of the corresponding protein, disruption of the dystrophin-associated protein complex, and substantial changes in skeletal muscle pathology. Although the primary defect is known and the histological pathology well documented, the underlying molecular pathways remain in question. To clarify these pathways, we used expression microarrays to compare individual gene expression profiles for skeletal muscle biopsies from DMD patients and unaffected controls. We have previously published expression data for the 12,500 known genes and full-length expressed sequence tags (ESTs) on the Affymetrix HG-U95Av2 chips. Here we present comparative expression analysis of the 50,000 EST clusters represented on the remainder of the Affymetrix HG-U95 set. Individual expression profiles were generated for biopsies from 10 DMD patients and 10 unaffected control patients. Two methods of statistical analysis were used to interpret the resulting data (t-test analysis to determine the statistical significance of differential expression and geometric fold change analysis to determine the extent of differential expression). These analyses identified 183 probe sets (59 of which represent known genes) that differ significantly in expression level between unaffected and disease muscle. This study adds to our knowledge of the molecular pathways that are altered in the dystrophic state. In particular, it suggests that signaling pathways might be substantially involved in the disease process. It also highlights a large number of unknown genes whose expression is altered and whose identity therefore becomes important in understanding the pathogenesis of muscular dystrophy.},
	keywords = {*Gene Expression Profiling, Biopsy, Child, Child, Preschool, Humans, Infant, Male, Molecular Probes, Muscle, Skeletal/pathology/*physiology, Muscular Dystrophy, Duchenne/*genetics/pathology, Reverse Transcriptase Polymerase Chain Reaction},
	isbn = {1364-6745 (Print)1364-6745 (Linking)},
	author = {Haslett, J. N. and Sanoudou, D. and Kho, A. T. and Han, M. and Bennett, R. R. and Kohane, I. S. and Beggs, A. H. and Kunkel, L. M.}
}
