Tetsuya Yamada

This study uses deep learning to predict cis-regulatory effects of human-specific mutations across 305 tissues, revealing their role in gene expression evolution.

This paper creates a multi-omics atlas of human hindbrain development, revealing cellular diversity, regulatory programs, and disease relevance.

This study identifies conserved and diverged gene regulatory networks in mammalian cerebellum development using single-nucleus gene expression and chromatin accessibility data from six species.

This paper integrates five vertebrate single-cell multi-omic atlases to reveal a conserved cellular blueprint and dual evolutionary constraints underlying early brain conservation across vertebrates.

The paper identifies TE fragments with regulatory potential in cerebellar development across species and introduces a framework to analyze their contribution to gene regulation.

The paper uses single-cell technologies to show that large-scale chromosomal aberrations drive medulloblastoma initiation, while single-gene oncogenic events like MYC contribute to progression and therapy resistance.