SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression
Exercise can induce extensive molecular adaptations across multiple tissues; however, existing databases primarily focus on transcriptomic data and lack the ability to integrate multi-omics evidence and literature within a systems biology framework. To address this limitation, we developed SportsXbiodata, an open-access multi-omics integration platform that compiles 2,563 public multi-omics datasets and 3,600 exercise-related publications. The platform provides comprehensive functional modules for gene/protein/metabolite expression profiling, immune infiltration analysis, phenotype-gene correlation analysis, knowledge graph analysis, literature-based gene exploration, and exercise-drug homology analysis. It also supports data querying, visualization, and user-defined enrichment analysis for exercise-related datasets. SportsXbiodata is completely free and accessible without registration, allowing users to directly download standardized datasets and analysis results, thereby promoting transparency and reproducibility in scientific research.
Authors
- Zheng Li (ORCID: https://orcid.org/0000-0001-6894-9616)
- Xiaolin Li (ORCID: https://orcid.org/0000-0002-8086-7776)
- Zhi Jun Xu
Institutions
- Beijing University of Chinese Medicine (CN)
- Guangzhou Sport University (CN)
- Guangzhou Vocational College of Science and Technology (CN)
Publication Details
- Journal
- iScience
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1016/j.isci.2025.114403
- Primary Topic
- Genetics and Physical Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00