Differential gene expression in the rat soleus muscle during early work overload-induced hypertrophy.

James Carson, Dan Nettleton, James M. Reecy

Research output: Contribution to journalArticle

76 Citations (Scopus)

Abstract

Delineating the molecular mechanisms that are responsive to work overload is crucial to understanding the adaptive processes controlling skeletal muscle mass. We have examined the molecular events associated with increased workload by using microarray analysis to begin to define the mechanotransduction responsive transcription programs in skeletal muscle. Microarray analysis identified 112 mRNAs that were expressed differentially in the soleus muscle of sham-operated vs. gastrocnemius-ablated rats. These genes can be classified into cell proliferation, autocrine/paracrine, extracellular matrix, immune response, intracellular signaling, metabolism, neural, protein synthesis/degradation, structural, and transcription. These findings dramatically increase the number of known, differentially expressed mRNA during early skeletal muscle hypertrophy. In toto, our findings indicate that work overload induced skeletal muscle hypertrophy alters autocrine/paracrine signaling, intracellular signaling, and transcription factor expression, which likely results in a dramatic change in cellular metabolism, cell proliferation, and muscle structure. These data enhance our understanding of the complex molecular mechanisms controlling skeletal muscle mass in response to increased physical activity.

Original languageEnglish (US)
Pages (from-to)207-209
Number of pages3
JournalThe FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Volume16
Issue number2
StatePublished - Jan 1 2002
Externally publishedYes

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Gene expression
Hypertrophy
Muscle
Rats
Skeletal Muscle
Gene Expression
Microarray Analysis
Cell proliferation
Transcription
Microarrays
Metabolism
Autocrine Communication
Cell Proliferation
Paracrine Communication
Messenger RNA
Workload
Proteolysis
Extracellular Matrix
Transcription Factors
Genes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Genetics

Cite this

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