Haruka Ozaki

The paper examines metabolic adaptations during starvation in obese mice, finding impaired responsiveness and elevated enzyme expression in skeletal muscle and liver.

The paper examines how obesity disrupts the temporally ordered metabolic network in the liver during starvation, revealing structural robustness but temporal vulnerability.

CCPLS identifies cell-type-specific spatial dependencies on HVG expression variability using spatial transcriptome data.

This study uses multiomic analysis of skeletal muscle in obese and healthy mice to reveal differences in metabolic regulation by metabolites and genes after glucose administration.

The paper introduces MOCCS profiles to analyze DNA-binding specificity of TFs across cell types and shows that one-third of TFs exhibit cell-type-specific binding, with ΔMOCCS2scores predicting variant effects on TF binding.

This study introduces scGR-seq, a method combining glycan and RNA analysis in single cells, showing improved cell type separation and identifying lectins specific to hiPSCs and related to neural differentiation.

MotiMul discovers significant sequence motifs with multiple testing correction, improving statistical power and reducing type-1 error rates.

Millefy visualizes cell-to-cell heterogeneity in read coverage of scRNA-seq data using heat maps and dynamic reordering to highlight genomic variations.

The paper introduces an NMF-based method to identify overlooked differentially expressed gene regions in single-cell RNA-seq data, finding novel transcripts related to neural stem/progenitor cell differentiation.