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GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice.
Jianting An1,2,3,4,5, Jing Wang1,2,3,4, Siming Kong1,2,3,4,5
1State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
Genomics, Proteomics & Bioinformatics
|June 11, 2024
Summary
GametesOmics integrates gene expression, DNA methylation, and chromatin accessibility data for oogenesis and spermatogenesis. This comprehensive database aids researchers in understanding germ cell development and reproductive biology.
Area of Science:
- Reproductive Biology and Genomics
- Developmental Biology
- Bioinformatics
Background:
- Gametogenesis is crucial for species reproduction and evolution, with transcriptomic and epigenetic changes impacting fertility and development.
- Single-cell multi-omics studies offer valuable data, but lack of standardization and integration hinders exploration of germ cell development mechanisms.
- Existing resources do not comprehensively integrate gene expression, DNA methylation, and chromatin accessibility data for both oogenesis and spermatogenesis.
Purpose of the Study:
- To develop GametesOmics, a unified database integrating multi-omics data (gene expression, DNA methylation, chromatin accessibility) for human and mouse gametogenesis.
- To provide user-friendly tools for querying, analyzing, and visualizing gene expression and epigenetic modifications during germ cell development.
- To facilitate comparative analysis of gametogenesis between humans and mice.
Main Methods:
- Integration of transcriptomic, epigenomic (DNA methylation), and chromatin accessibility data from single-cell studies.
- Development of a comprehensive database (GametesOmics) with a user-friendly web interface.
- Implementation of bioinformatics tools for data querying, differential gene expression analysis, correlation analysis, visualization, and comparative genomics.
Main Results:
- GametesOmics provides integrated multi-omics data for oogenesis and spermatogenesis in humans and mice.
- Includes tools for gene expression and epigenetic modification querying, DEG analysis, correlation analysis, and visualization of single-cell clusters.
- Features Genome Browser and Ortholog tools for cross-species comparison of gene expression and epigenetic landscapes.
Conclusions:
- GametesOmics serves as a valuable, integrated resource for studying molecular mechanisms of germ cell development.
- The database and its tools empower biologists and clinicians to decipher cell fate transitions in gametogenesis.
- Facilitates deeper understanding of reproductive biology and potential clinical applications through comparative multi-omics analysis.
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