Multi-omics and male infertility: status, integration and future prospects

Area of Science:

• Cellular and Molecular Biology
• Reproductive Biology
• Systems Biology

Background:

• Gene expression analysis provides critical insights into cellular and physiological processes.
• Fertilization involves complex stages including gamete production, transport, and fusion, all regulated by epigenetic mechanisms.
• Transcriptome and proteome are key contributors to cellular gene expression, influenced by various modifications.

Purpose of the Study:

• To highlight the importance of gene expression analysis in understanding cellular functions and reproductive events.
• To introduce a systems biology approach for a holistic analysis of gene expression.

Main Methods:

• Review of gene expression analysis techniques.
• Integration of multi-omics data (genomics, epigenomics, proteomics, metabolomics).
• Analysis of alterations across genome variations, post-transcriptional, and post-translational modifications.

Main Results:

• Gene expression is altered at multiple levels in both normal and pathophysiological conditions.
• Epigenetic regulation plays a significant role in gametogenesis and early embryogenesis.
• A multi-omics approach allows for concurrent computation of alterations in genes, proteins, and metabolites.

Conclusions:

• Systems biology, by integrating multi-omics data, provides a more comprehensive understanding of cellular gene expression.
• This integrated approach is essential for analyzing complex biological events like fertilization and disease states.
• Understanding gene expression alterations is key to advancing cellular and reproductive biology research.