title: The human adult skeletal muscle transcriptional profile reconstructed by a novel computational approach.
abstract: By applying a novel software tool, information on 4080 UniGene clusters was retrieved from three adult human skeletal muscle cDNA libraries, which were selected for being neither normalized nor subtracted. Reconstruction of a transcriptional profile of the corresponding tissue was attempted by a computational approach, classifying each transcript according to its level of expression. About 25% of the transcripts accounted for about 80% of the detected transcriptional activity, whereas most genes showed a low level of expression. This in silico transcriptional profile was then compared with data obtained by a SAGE study. A fairly good agreement between the two methods was observed. About 400 genes, highly expressed in skeletal muscle or putatively skeletal muscle-specific, may represent the minimal set of genes needed to determine the tissue specificity. These genes could be used as a convenient reference to monitor major changes in the transcriptional profile of adult human skeletal muscle in response to different physiological or pathological conditions, thus providing a framework for designing DNA microarrays and initiating biological studies.
authors.affiliation: Department of Biology, University of Padua, 35131 Padua, Italy.
authors.forename: S
authors.initials: S
authors.lastname: Bortoluzzi
authors.forename: F
authors.initials: F
authors.lastname: d'Alessi
authors.forename: C
authors.initials: C
authors.lastname: Romualdi
authors.forename: G A
authors.initials: GA
authors.lastname: Danieli
mesh_terms: D000328:Adult; D019295:Computational Biology / Q000379:methods*; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000379:methods*; D015723:Gene Library; D005796:Genes; D006801:Humans; D005810:Multigene Family; D018482:Muscle, Skeletal / Q000737:chemistry* / Q000502:physiology*; D012984:Software