Document Detail


The human adult skeletal muscle transcriptional profile reconstructed by a novel computational approach.
MedLine Citation:
PMID:  10720575     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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:
S Bortoluzzi; F d'Alessi; C Romualdi; G A Danieli
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Genome research     Volume:  10     ISSN:  1088-9051     ISO Abbreviation:  Genome Res.     Publication Date:  2000 Mar 
Date Detail:
Created Date:  2000-05-10     Completed Date:  2000-05-10     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  9518021     Medline TA:  Genome Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  344-9     Citation Subset:  IM    
Affiliation:
Department of Biology, University of Padua, 35131 Padua, Italy.
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MeSH Terms
Descriptor/Qualifier:
Adult
Computational Biology / methods*
Expressed Sequence Tags
Gene Expression Profiling / methods*
Gene Library
Genes*
Humans
Multigene Family
Muscle, Skeletal / chemistry*,  physiology*
Software*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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