THE UNIGENE-BASED SKELETAL MUSCLE TRANSCRIPTIONAL PROFILE

Released July, 9th, 1999

  • The human skeletal muscle trancriptional profile. To analyze the transcriptional activity of the skeletal muscle human tissue, the number of ESTs corresponding to each UniGene entry, found in the considered cDNA libraries were counted, on the assumption that the larger is the number of skeletal muscle ESTs reported per entry, the more active should be in the tissue the corresponding gene. This number represents the best available estimate of the abundance of each individual transcript in the skeletal muscle mRNA population and it is referred here as "level of expression" of each gene. The relative contribution of a given gene to the skeletal muscle transcriptional activity is expressed by the ratio between the number of ESTs corresponding to that gene and the total number of ESTs corresponding to all the genes included in the data set.

  • Expression of skeletal muscle genes in other tissues. The presence of skeletal muscle genes in other human tissues was assessed by considering each UniGene entry belonging to the data set and by recording in which additional tissues the ESTs reported in that particular entry were found.

  • Data retrieval. The retrieval of UniGene entries belonging to the three most copious not normalized nor subtracted cDNA libraries from normal adult skeletal muscle (Lib.24, Lib.272 and Lib.500) produced a data set of 4,080 putative unique human genes.
    The catalogue of these 4,080 genes, including both the skeletal-muscle-specific gene transcripts and transcripts expressed as well in other tissues, provides the best representation of the transcriptome of the skeletal muscle, according to available information.


  • The catalogue of 4,080 genes or ESTs reported in UniGene as belonging to cDNA libraries from skeletal muscle is provided. Each entry is shown along with UniGene ID, gene description, estimated level of expression in skeletal muscle and information on expression in additional human adult tissues.


  • Reference  Bortoluzzi S., d'Alessi F., Romualdi C., Danieli G.A., "The Human Adult Skeletal Muscle Transcriptional Profile reconstructed by a novel computational approach", Genome Research 10: 344-349 2000.




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