Exe-Muscle: An Exercised Human Skeletal Muscle Gene Expression Database

Area of Science:

• Exercise science
• Molecular biology
• Genomics

Background:

• Human muscle tissue exhibits dynamic gene expression changes during exercise.
• These gene expression dynamics are linked to muscle adaptation.
• Understanding these changes is crucial for exercise science.

Purpose of the Study:

• To establish a searchable database of gene expression changes in human muscle before and after exercise.
• To facilitate data mining and exploration of molecular mechanisms in exercise science.
• To provide researchers with a platform to access and share gene expression data.

Main Methods:

• Development of a web-based searchable database named Exe-muscle.
• Utilizing high-throughput microarray sequencing data.
• Data mining of gene expression patterns over time.

Main Results:

• The Exe-muscle database allows users to retrieve gene expression data at different time points.
• Search results offer comprehensive descriptions of target genes and specific expression patterns.
• The database is accessible online for researchers.

Conclusions:

• The Exe-muscle database supports the exploration of molecular mechanisms underlying exercise-induced muscle adaptation.
• It serves as a valuable resource for researchers in exercise science and genomics.
• Facilitates data sharing and collaborative research in the field.