Tomomasa Yokomizo

This study tracks Gfi1 expression dynamics during hematopoietic development and identifies its role in defining EHT and HSC potency.

This paper develops a system to predict hematopoietic stem cell diversity using quantitative phase imaging and machine learning, capturing temporal kinetics rather than single snapshots.

The paper maps the dynamic interactions between hematopoietic stem cells and niche cells in the fetal liver using multi-omics approaches, revealing spatial and temporal changes in the microenvironment.

This paper demonstrates the use of eR1-CreERT2 transgenic mice to target and study hematopoietic stem cells (HSCs) across developmental stages, revealing stage-specific phenotypes and disease outcomes.