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3D Genome Architecture in Stem Cell Lineage Commitment: from Structural Organization to Precision Regulation.
Yanchi He1,2, Wenrui Li3, Lin Li3
1College & Hospital of Stomatology Anhui Medical University Key Lab. of Oral Diseases Research of Anhui Province Hefei 230032 China.
Advanced Genetics (Hoboken, N.J.)
|October 2, 2025
Summary
Spatial genomics and epigenetic mechanisms regulate stem cell lineage commitment. Advanced technologies reveal 3D genome organization and phase separation, guiding gene expression for cell fate transitions and potential regenerative medicine therapies.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Stem cell differentiation involves complex gene regulation.
- Traditional epigenetics (DNA methylation, histone modifications) has limitations in explaining spatiotemporal gene control.
- 3D genome organization plays a crucial role in this regulation.
Purpose of the Study:
- To explore how 3D genome organization and epigenetic mechanisms govern stem cell lineage commitment.
- To highlight the role of advanced spatial genomics technologies in understanding genome architecture.
- To discuss the impact of transcriptional condensates and AI in deciphering regulatory networks.
Main Methods:
- Utilizing spatial genomics technologies like high-throughput chromosome conformation capture (Hi-C), single-cell Hi-C, and Hi-ChIP.
- Analyzing chromatin compartments, topologically associating domains (TADs), and chromatin loops.
- Integrating multiomics data and artificial intelligence (AI)-driven predictive modeling.
Main Results:
- Spatial genomics reveals dynamic reorganization of genome structures (compartments, TADs, loops) during differentiation.
- Liquid-liquid phase separation (LLPS) mediated condensates (transcription factories, super-enhancers) are key regulators of gene expression.
- AI and multiomics integration enhance understanding of complex regulatory networks.
Conclusions:
- 3D genome organization and epigenetic interactions are critical for stem cell lineage commitment.
- Advanced technologies provide unprecedented insights into genome architecture and gene regulation.
- CRISPR-based genome editing and AI platforms offer future therapeutic potential in regenerative medicine.
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