Transcriptional profiling in facioscapulohumeral muscular dystrophy to identify candidate biomarkers
King, Oliver D.
Leung, Doris G.
Bibat, Genila M.
Emerson, Charles P. Jr.
Kunkel, Louis M.
Wagner, Kathryn R.
Document TypeJournal Article
*Gene Expression Profiling
Muscular Dystrophy, Facioscapulohumeral
Oligonucleotide Array Sequence Analysis
Real-Time Polymerase Chain Reaction
Nervous System Diseases
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AbstractFacioscapulohumeral muscular dystrophy (FSHD) is a progressive neuromuscular disorder caused by contractions of repetitive elements within the macrosatellite D4Z4 on chromosome 4q35. The pathophysiology of FSHD is unknown and, as a result, there is currently no effective treatment available for this disease. To better understand the pathophysiology of FSHD and develop mRNA-based biomarkers of affected muscles, we compared global analysis of gene expression in two distinct muscles obtained from a large number of FSHD subjects and their unaffected first-degree relatives. Gene expression in two muscle types was analyzed using GeneChip Gene 1.0 ST arrays: biceps, which typically shows an early and severe disease involvement; and deltoid, which is relatively uninvolved. For both muscle types, the expression differences were mild: using relaxed cutoffs for differential expression (fold change >/=1.2; nominal P value <0.01), we identified 191 and 110 genes differentially expressed between affected and control samples of biceps and deltoid muscle tissues, respectively, with 29 genes in common. Controlling for a false-discovery rate of <0.25 reduced the number of differentially expressed genes in biceps to 188 and in deltoid to 7. Expression levels of 15 genes altered in this study were used as a "molecular signature" in a validation study of an additional 26 subjects and predicted them as FSHD or control with 90% accuracy based on biceps and 80% accuracy based on deltoids.
SourceRahimov F, King OD, Leung DG, Bibat GM, Emerson CP Jr, Kunkel LM, Wagner KR. Transcriptional profiling in facioscapulohumeral muscular dystrophy to identify candidate biomarkers. Proc Natl Acad Sci U S A. 2012 Oct 2;109(40):16234-9. doi:10.1073/pnas.1209508109. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/50578
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