E-GEOD-1462 - Transcription profiling of human skeletal muscle samples from mitochondrial disorder subjects

Status
Submitted on 8 June 2004, released on 4 August 2007, last updated on 27 March 2012
Organism
Homo sapiens
Samples (11)
Array (1)
Description
Extremely variable clinic and genetic features characterize Mitochondrial Encephalomyopathy Disorders (MED). Pathogenic mitochondrial DNA (mtDNA) defects can be divided into large-scale rearrangements and single point mutations. Clinical manifestations become evident when a threshold percentage of the total mtDNA is mutated. In some MED, the "mutant load" in an affected tissue is directly related to the severity of the phenotype. However, the clinical phenotype is not simply a direct consequence of the relative abundance of mutated mtDNA. Other factors, such as nuclear background, can contribute to the disease process, resulting in a wide range of phenotypes caused by the same mutation. Using Affymetrix oligonucleotide cDNA microarrays (HG-U133A), we studied the gene expression profile of muscle tissue biopsies obtained from 12 MED patients (4 common 4977-bp deleted mtDNA and 8 A3243G: 4 PEO and 4 MELAS phenotypes) compared with age-matched healthy individuals.
Experiment types
transcription profiling by array, co-expression, disease state, individual genetic characteristics
Contact
Citation
Skeletal muscle gene expression profiling in mitochondrial disorders. Marco Crimi,Andreina Bordoni,Giorgia Menozzi,Laura Riva,Francesco Fortunato,Sara Galbiati,Roberto Del Bo,Uberto Pozzoli,Nereo Bresolin,Giacomo Pietro Comi. FASEB J :866-8 (2005)
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-1462.idf.txt
Sample and data relationshipE-GEOD-1462.sdrf.txt
Processed data (1)E-GEOD-1462.processed.1.zip
Array designA-AFFY-33.adf.txt
Links