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Sex-dependent gene co-expression in the human body
Robin J G Hartman1, Michal Mokry1,2, Gerard Pasterkamp2
1Laboratory of Experimental Cardiology, University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
Scientific Reports
|September 22, 2021
Summary
Sex significantly influences gene co-expression networks across human tissues, impacting disease associations and drug responses. Understanding these sex-based biological differences is crucial for personalized medicine.
Area of Science:
- Genomics
- Systems Biology
- Sex Differences in Biology
Background:
- Pathophysiological mechanisms in human health and disease are often sex-dependent.
- Systems biology approaches are valuable for understanding disease etiology.
- The impact of sex on gene network biology remains largely unexplored.
Purpose of the Study:
- To investigate the influence of sex on whole-body gene co-expression networks.
- To quantify sex differences in gene co-expression across multiple human tissues.
- To explore the implications of sex-biased gene networks in disease and drug targeting.
Main Methods:
- Utilized RNA-sequencing data from over 700 individuals (Genotype-Tissue Expression project).
- Generated a whole-body gene co-expression map across 24 tissues.
- Quantified sex-specific gene co-expression patterns and pathway enrichment.
Main Results:
- Sex influences 29.5% of analyzed gene co-expression across 24 tissues.
- Significant sex-biased gene co-expression observed in tissues like skeletal muscle (males) and thyroid (females).
- Sex differences in pathway enrichment (hypoxia, EMT, inflammation) and transcription factor binding motifs were identified.
- Sex-biased genes are linked to sex-biased diseases (autoimmunity, cancer) and are more frequently targeted by FDA-approved drugs.
Conclusions:
- Sex significantly shapes biological gene networks through differential gene co-expression.
- Sex-dependent biological responses, particularly to medical drugs, warrant further investigation.
- This study highlights the importance of considering sex as a biological variable in biomedical research.
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