Takeo Narita

The paper identifies the SPATA5-SPATA5L1-CINP-C1ORF109 complex as essential for pre-60S ribosome maturation and shows its evolution from yeast Drg1.

The paper introduces CLASTER, a deep learning model that predicts nascent transcription levels from chromatin landscape and 3D structure data, achieving high correlation with experimental measurements.

This study shows cohesin and CTCF regulate gene expression through both architectural and direct transcriptional mechanisms, with CTCF also acting as a transcriptional activator independent of cohesin.

The paper investigates enhancer-promoter interactions and finds that gene-skipping enhancers are rare, with proximity and coactivator dependency better predicting functional relationships.

The paper identifies H2B acetylation as a marker for active enhancers and shows it predicts enhancer target genes better than existing methods.

The paper investigates how native enhancers interact with promoters to shape cell-type-specific gene expression and shows that enhancers can regulate both developmental and housekeeping genes.