TY  - JOUR
A1  - Bortoluzzi, Stefania
A1  - d'Alessi, Fabio
A1  - Romualdi, Chiara
A1  - Danieli, Gian Antonio
T1  - The Human Adult Skeletal Muscle Transcriptional Profile Reconstructed by a Novel Computational Approach
Y1  - 2000/03/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 344 
EP  - 349 
DO  - 10.1101/gr.10.3.344 
VL  - 10 
IS  - 3 
UR  - http://genome.cshlp.org/content/10/3/344.abstract 
N2  - 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. 
ER  -