Yusuke Kijima

The paper uses single-cell RNA sequencing to analyze mutant phenotypes of epigenetic regulators in mouse embryos, revealing how these regulators partition the genome based on developmental and evolutionary constraints.

This study uses a deep-learning model to analyze scRNA-seq data and identifies how folate deficiency disrupts metabolic transitions in developing mouse neural ectoderm, leading to morphological defects.

This study improves transgenic mouse production efficiency using piggyBac, enabling phenotyping in the founder generation and demonstrating application with bacterial artificial chromosome transgenes.

This paper introduces CloneSelect, a multi-kingdom genetic barcoding system that enables precise isolation of target clones using CRISPR base editing to trigger reporter gene expression.

INTERSTELLAR translates sequencing reads from any structure to any other, enabling analysis by existing tools for similar experiments.

This study compares age-associated transcriptome changes in zebrafish and rat to identify common and species-specific aging features.

The paper introduces GPS-seq, a theoretical framework for spatial transcriptomics that uses DNA barcodes to enable large-scale, optics-free imaging of tissue sections at single-cell resolution.

This study uses spatial transcriptomics to analyze zebrafish trunk muscle structure and growth, identifying spatial gene expression patterns and developmental processes in different muscle types.