Unknown

Dataset Information

Identification of the Exercise and Time Effects on Human Skeletal Muscle through Bioinformatics Methods.


ABSTRACT:

Background

The human body has more than 600 kinds of skeletal muscles, which accounts for about 40% of the whole weight. Most skeletal muscles can make bones move, and their strength and endurance directly affect their performance during exercise.

Methods

To determine the effects of exercise and time on human skeletal muscle, we downloaded the microarray expression profile of GSE1832 and analyzed it to select differentially expressed genes (DEGs). Then, a protein-protein interaction (PPI) network was established, and the hub genes were identified. Afterwards, DEGs were applied to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Finally, with the help of Gene Set Enrichment Analysis (GSEA), the gene sets in the 7 samples were

SUBMITTER: Feng M 

PROVIDER: S-EPMC9420641 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature