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Related Concept Videos

What is Gene Expression?01:42

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Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
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ExerGeneDB: A physical exercise-regulated differential gene expression database.

Ling Pan1, Songwei Ai1, Xiaohui Shi1

  • 1Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair (Ministry of Education), School of Life Science, Shanghai University, Shanghai 200444, China; Cardiac Regeneration and Ageing Lab, Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong 226011, China.

Journal of Sport and Health Science
|January 19, 2025
PubMed
Summary
This summary is machine-generated.

We created ExerGeneDB, a comprehensive database of exercise-regulated genes. It integrates diverse datasets and clinical factors to aid researchers in understanding exercise

Keywords:
Exercise databaseExercise-regulated differential genesPhysical exercise

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Area of Science:

  • Molecular biology and genomics
  • Exercise science and physiology
  • Bioinformatics and data science

Background:

  • Exercise induces complex molecular changes across multiple organs and tissues.
  • These changes are influenced by exercise parameters (intensity, frequency, mode, duration) and clinical features (gender, age, BMI).
  • A comprehensive understanding requires integrating diverse data types and clinical information.

Purpose of the Study:

  • To develop a centralized, interactive database for exercise-regulated genes.
  • To provide a comprehensive resource for researchers studying molecular responses to exercise.
  • To facilitate analysis of gene expression patterns considering various exercise regimens and clinical factors.

Main Methods:

  • Aggregated publicly available exercise-related sequencing datasets.
  • Performed uniform quality control and preprocessing on diverse data types.
  • Conducted differential gene expression analyses, incorporating clinical data (gender, age, BMI).

Main Results:

  • Assembled a large dataset including 1692 animal and 4492 human samples.
  • Incorporated data from numerous tissues and organs (e.g., skeletal muscle, blood, adipose tissue, brain, heart).
  • Included various sequencing technologies: bulk RNA-seq, microarray, and single-cell RNA-seq, covering coding and non-coding RNAs.

Conclusions:

  • ExerGeneDB compiles and re-analyzes exercise-related data, emphasizing clinical information.
  • The database provides an interactive platform for exploring exercise regulation genes.
  • ExerGeneDB is accessible at https://exergenedb.com to support research in exercise biology.