Integrated analysis and systematic characterization of the regulatory network for human germline development

Area of Science:

• Developmental Biology
• Genomics
• Cell Biology

Background:

• Primordial germ cells (PGCs) are crucial for reproduction, originating during embryonic development.
• Human PGC specification mechanisms differ from model organisms and remain poorly understood due to accessibility challenges.

Purpose of the Study:

• To create a comprehensive database (hPGCdb) of human PGC development using integrated multi-omics data.
• To identify key transcription factors, regulatory networks, and extrinsic signaling pathways governing human germ cell fate.

Main Methods:

• Curated and integrated large-scale multi-omics datasets (RNA-seq, ATAC-seq, ChIP-seq, scRNA-seq) from human PGC development.
• Utilized uniformly processed data for comprehensive analysis.
• Performed CRISPRi knockdown to validate key factor roles.

Main Results:

• Characterized potential key transcription factors and regulatory networks controlling human germ cell fate.
• Identified the soma-germline interaction network, including SDC2, LAMA4, and NOTCH2 signaling.
• Established the human PGC database (hPGCdb) with integrated data and analyses.

Conclusions:

• The hPGCdb provides a valuable resource for understanding human germline development.
• Revealed intrinsic and extrinsic regulatory programs essential for human PGC development and differentiation.
• Highlighted the distinct regulatory machinery in human PGC specification.