A graph neural network-based interpretable framework reveals a novel DNA fragility-associated chromatin structural...

Area of Science:

• Genomics
• Computational Biology
• Molecular Biology

Background:

• DNA double-strand breaks (DSBs) are critical DNA lesions linked to cancer if unrepaired.
• Chromosome conformation capture techniques (e.g., Hi-C) reveal 3D chromatin structure-DSB relationships.
• Mechanisms linking global chromatin contacts to DSB formation remain unclear.

Purpose of the Study:

• To develop a framework for understanding 3D chromatin structure's role in DSB formation.
• To identify novel structural determinants of DNA fragility.
• To leverage advanced computational methods for biological insights.

Main Methods:

• Integration of graph neural networks (GNNs) for analyzing 3D genome data.
• Application of GNNExplainer for interpreting complex network relationships.
• Identification and characterization of specific chromatin interaction networks.

Main Results:

• Proposal of a GNN-based framework to link 3D chromatin structure and DSBs.
• Discovery of a new chromatin structural unit: DNA fragility-associated chromatin interaction network (FaCIN).
• FaCIN structures act as bottlenecks, mediating genome-wide influences on DNA fragility.
• Identification of 'neck interactions' within FaCIN as key determinants of DSB formation.

Conclusions:

• The study offers a refined perspective on DSB formation mechanisms within the 3D genome.
• FaCIN provides a novel structural context for understanding DNA fragility.
• The findings advance our comprehension of how chromatin architecture impacts genome stability.