The team coined the term “increased compartment mingling” to describe the observed disruption. This pattern — characterized by the mixing of active and inactive genomic neighborhoods — was present in multiple cell types in Alzheimer’s brains, and the degree of mingling correlated with the severity of gene expression loss .
To see this phenomenon at single-cell resolution, the researchers used a novel technology called GAGE-seq (Genome Architecture and Gene Expression sequencing). This single-cell method simultaneously measures two things in the same cell:
The team also integrated these measurements with spatial transcriptomic maps of intact brain tissue, allowing them to see where in the brain these changes occur .
Beyond the experimental discovery, the researchers built a computational tool to explore how structural genome changes alter gene regulation. They developed Hicformer, a deep-learning AI model that analyzes:
Hicformer can predict cell-specific gene activity from these inputs. The researchers described it as a computational test bed for understanding how 3D genome changes may drive gene misregulation in Alzheimer’s .
This study provides the first single-cell view of how Alzheimer’s disease reshapes the physical architecture of the genome inside brain cells. Because the 3D folding of DNA directly controls which genes are expressed, the discovery of “compartment mingling” offers a new molecular lens on the disease. The findings could serve as a roadmap for identifying therapeutic targets that restore proper genome organization and gene expression in affected neurons .