The Beggs Laboratory for the Study of Congenital Myopathies
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Expression Profiling Reveals Altered Satellite Cell Numbers and Glycolytic Enzyme Transcription in Nemaline Myopathy Muscle.

Sanoudou D, Haslett JN, Kho AT, Guo S, Gazda HT, Greenberg SA, Lidov HGW, Kohane IS, Kunkel LM, Beggs AH. PNAS 2003; 100(8):4666-4671.
PMID: 12677001 [PubMed - indexed for MEDLINE]

Genetics Division and Genomics Program, Neurology Department, Children's Hospital Boston and Harvard Medical School, Boston, MA, 02115, USA.

Abstract

The nemaline myopathies (NMs) are a clinically and genetically heterogeneous group of disorders characterized by nemaline rods and skeletal muscle weakness. Mutations in five sarcomeric thin filament genes have been identified. However, the molecular consequences of these mutations are unknown. Using Affymetrix oligonucleotide microarrays, we have analyzed the expression patterns of >21,000 genes and expressed sequence tags in skeletal muscles of 12 NM patients and 21 controls. Multiple complementary approaches were used for data analysis, including geometric fold analysis, two-tailed unequal variance t test, hierarchical clustering, relevance network, and nearest-neighbor analysis. We report the identification of high satellite cell populations in NM and the significant down-regulation of transcripts for key enzymes of glucose and glycogen metabolism as well as a possible regulator of fatty acid metabolism, UCP3. Interestingly, transcript level changes of multiple genes suggest possible changes in Ca2+ homeostasis. The increased expression of multiple structural proteins was consistent with increased fibrosis. This comprehensive study of downstream molecular consequences of NM gene mutations provides insights in the cellular events leading to the NM phenotype.

Nearest Neighbors

Nearest neighbors: Nearest neighbor analysis of 206 reliably changed probe sets against the 25,115 U95Av2 and U95B probe sets, across 34 NM and normal skeletal muscle specimens. For each of the 206 probe sets the 50 nearest neighbors with a proximity of at least 0.6 (using correlation coefficient as dissimilarity measure) are presented. The unnormalized expression values for each nearest neighbor are also available. Links provide the correlation coefficient graph for each pairwise comparison. More information regarding all probe sets can be obtained at http://www.affymetrix.com

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RelNet 1
RelNet 2
Figure 5

Figure 5: Relevance network from analysis of 206 reliably changed probe sets indicates coordinate regulation of glycolytic enzyme and other transcripts in NM muscles. The largest relevance network (no. 17) generated by the analysis of 13 NM samples at correlation coefficient cutoff ©¯80% consists of 36 probe sets (Upper). Each box represents a probe set and indicates the gene name (or GenBank accession number). Probe sets representative of molecular pathways of particular interest are highlighted according to the color key on the upper left corner. Lines connect probe sets with expression patterns correlating by >80%. Increased line thickness indicates higher correlation, and red indicates negative correlation. (Lower) The equivalent relevance networks from the analysis of 21 normal samples.

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