Gene expression variability in human skeletal muscle transcriptome responses to acute resistance exercise. Issue 5 (27th February 2019)

• Record Type: Journal Article
• Authors: Bonafiglia, Jacob T.; Menzies, Keir J.; Gurd, Brendon J.
• Is Part Of: Experimental physiology. Volume 104:Issue 5(2019:May)
• Page Start: 625
• Page End: 629
• Publication Date: 2019-02-27
• Subjects: individual variability -- microarray -- SDIR; Physiology, Experimental -- Periodicals; 571.0724
• DOI: 10.1113/EP087436
• Languages: English
• ISSNs: 0958-0670

Abstract

Abstract : New Findings: What is the central question of this study? Does exercise, independent of random error and within‐subject variability, contribute to the variability in gene expression responses to an acute bout of resistance exercise? What is the main finding and its importance? A reanalysis of publicly available microarray data revealed that variability in observed gene expression responses for a subset of genes could be partially attributable to an effect of acute resistance exercise. These finding support the notion that individual responsiveness explains a portion of the variability in observed gene expression responses to acute resistance exercise. Abstract: The purpose of this study was to use publicly available transcriptomic data to determine whether variability in gene expression responses to an acute bout of acute resistance exercise (ARE) can be attributable to an effect of ARE per se . We examined microarray data from a previous study that collected skeletal muscle biopsies before and 24 h after ARE or a no‐exercise time‐matched control period (CTL). By subtracting the standard deviation in the observed responses to CTL from ARE, we determined that ARE contributed to the variability in the observed gene expression responses for many (∼31, 000), but not all, transcripts included on the Affymetrix Human Genome chips. ARE had a large effect on variability in the observed gene expression responses in 1290 genes that was not attributed to any technical/biological variability associated with repeated measurements. Pathway analysis using WebGestalt revealed that several of these 1290 genes are involved in pathways known to regulate skeletal muscle adaptations to chronic resistance training. These results suggest that variability in the observed gene expression responses for a subset of genes could be partially attributable to an effect of ARE. Abstract :