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.

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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
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article

SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression

Zheng Li, Xiaolin Li, Zhi Jun Xu
iScience
Genetics and Physical Performance
article

SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression

Zheng Li, Xiaolin Li, Zhi Jun Xu
article en

Abstract

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.

iScienceVol. 29(1)
Beijing University of Chinese Medicine (CN), Guangzhou Sport University (CN), Guangzhou Vocational College of Science and Technology (CN)
Openalex Percentile: Top 58%
Genetics and Physical Performance
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SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression — Zheng Li, Xiaolin Li, et al. · iScience (2025) | TGRS Research Map | TGRS