Abstract
The relationship between physical exercise and human health has been widely recognized by sports-related professionals and the public. However, the molecular mechanism behind sports remains unclear. A microarray sequencing technology has been widely used to detect gene changes after physical exercise and researchers have accumulated a great deal of data. These data provide a large amount of information for researchers to understand the relationship between genetics and exercise and study changes in genes after different forms of exercise, and their relations with human, gender and age. We integrate eight published gene expression datasets from human skeletal muscle and construct an online web server called SGDB standing for Sports Gene DataBase. SGDB can be used to search for genes that are expressed after exercise and no exercise. One can determine the effects of physical exercise on gene expression while allowing for visualization of changes in female and male. In addition, different forms of exercise and relationships with age are also available. Currently, SGDB contains 54613 annotated gene probes based on the Affymetrix Human Genome U133 Plus 2 Affay (GPL570). It has become one of the most important resources for researchers to study sports and genes. The online access address for SGDB is http://www.sportsgene.top.
Highlights
It is widely known that proper physical exercise is needed for a healthy human body and has much positive impact on human health
We present an online accessible database, called SGDB, that allows for the visualization of the relationship between motion and gene expression
We examine the effects of age on the gene expression response to physical exercise
Summary
It is widely known that proper physical exercise is needed for a healthy human body and has much positive impact on human health. Q. Cao et al.: SGDB for Visualization of Sports Effects on Human Skeletal Muscle Gene Expression and an increase in related proteins, this is one of many changes [7]. Another study finds that a different exercise style (acute and chronic exercise) has many differentially expressed genes, most of which are related to muscle development and cell oxidation metabolism. There has not been a study based on systematic research about the molecular mechanism of the skeletal muscle response to physical exercise and all the related factors. SGDB contains 54613 annotated transcripts based on the platform GPL570 It could serve as a reliable and convenient tool for researchers to study the gene expression response to exercise and plays important roles as other databases used their respective fields, e.g., cyber-physical systems and bio-informatics [13]–[19]. Its web server is available online at www.sportsgene.top
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