Charting the Evolving Landscape of Super-Enhancers
We mapped the dynamic landscape of super-enhancers during erythroid differentiation, revealing how these large regulatory elements evolve to drive cell identity.
We mapped the dynamic landscape of super-enhancers during erythroid differentiation, revealing how these large regulatory elements evolve to drive cell identity.
We developed a machine learning framework to predict 3D chromatin loops mediated by CTCF, integrating genomic motif orientation with epigenomic features.
We found that loss of the histone demethylase KDM6A activates a specific super-enhancer program, driving a distinct, aggressive subtype of pancreatic cancer.