Takayuki Suzuki

The paper develops a thermodynamic chromatin polymer model to explain how Hox gene collinearity arises from sequential chromatin opening along gene clusters.

The paper develops PiCTURE and machine learning models to predict RNA off-target effects of CRISPR base editors in tissue-specific transcriptomes, finding higher risks in colon and lungs compared to brain and ovaries.

The paper develops a method to extract genome editing information using large language models and applies it to prioritize genes for future research.

The paper identifies two unexploited genes related to oxidative stress in Parkinson's disease using a pipeline to address missing data in disease-associated gene databases.

The paper performs a meta-analysis of RNA-seq data to compare oxidative and hypoxic stress-responsive genes, identifying shared and distinct gene expression patterns.