Title |
Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
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Published in |
BMC Genomics, November 2010
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DOI | 10.1186/1471-2164-11-659 |
Pubmed ID | |
Authors |
Dongmei Liu, Maureen A Sartor, Gustavo A Nader, Laurie Gutmann, Mary K Treutelaar, Emidio E Pistilli, Heidi B IglayReger, Charles F Burant, Eric P Hoffman, Paul M Gordon |
Abstract |
The molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, such as resistance exercise (RE), might provide insight to the contributors of sexual dimorphism of muscle phenotypes. We used microarrays to profile the transcriptome of the biceps brachii of young men and women who underwent an acute unilateral RE session following 12 weeks of progressive training. Bilateral muscle biopsies were obtained either at an early (4 h post-exercise) or late recovery (24 h post-exercise) time point. Muscle transcription profiles were compared in the resting state between men (n = 6) and women (n = 8), and in response to acute RE in trained exercised vs. untrained non-exercised control muscle for each sex and time point separately (4 h post-exercise, n = 3 males, n = 4 females; 24 h post-exercise, n = 3 males, n = 4 females). A logistic regression-based method (LRpath), following Bayesian moderated t-statistic (IMBT), was used to test gene functional groups and biological pathways enriched with differentially expressed genes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
France | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
New Zealand | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 157 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 23% |
Student > Master | 20 | 12% |
Student > Bachelor | 17 | 10% |
Researcher | 16 | 10% |
Student > Doctoral Student | 11 | 7% |
Other | 31 | 19% |
Unknown | 30 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 20% |
Sports and Recreations | 28 | 17% |
Biochemistry, Genetics and Molecular Biology | 24 | 15% |
Medicine and Dentistry | 13 | 8% |
Nursing and Health Professions | 6 | 4% |
Other | 21 | 13% |
Unknown | 39 | 24% |