Kaori Y. Tanaka

The paper uses time-course RNA-seq to study muscle remodeling in Drosophila, identifying BNIP3-mediated mitophagy as critical for mitochondrial degradation during this process.

The paper investigates the role of H2bc27, an H2B isoform, in mouse brain development through gene expression analysis and knockout studies, finding it regulates gene expression in brain development.

The paper reports the complete genome sequences of eight clinical isolates of Fusobacterium watanabei and classifies them within the 'Fusobacterium nucleatum_J' group.

This study shows that androgen receptor in mesenchymal progenitors regulates skeletal muscle mass via Igf1 expression in male mice, with effects seen in adult but not young or aged mice.

This study shows that Uhrf1 is essential for the proliferation and differentiation of muscle satellite cells by maintaining DNA methylation patterns.

This paper introduces OMELET, a method to infer metabolic flux from multi-omic data, and applies it to identify obesity-associated dysregulation in liver glucose metabolism.

The paper introduces tsChIL, a method to analyze tissue-level epigenomic data from single-thin sections, enabling independent evaluation of cell population changes and gene activation in regenerating skeletal muscle.

This paper introduces PIC, a method for high-resolution spatial transcriptome analysis, and shows it detects gene expression in small regions of mouse embryos.

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

This study benchmarks Hi-C methods for chromosome-scale genome scaffolding, identifying key factors that improve scaffolding quality and introduces a new protocol.

Quartz-Seq2 improves single-cell RNA-seq by increasing UMI conversion efficiency and gene detection from limited reads using in vitro and in vivo samples.

The paper introduces tChIP-Seq, a method to analyze cell type-specific epigenetic modifications, identifying neuronal genes and unknown functions in cortical neurons.

The paper constructs a trans-omic network of insulin action using phosphoproteomic, transcriptomic, and metabolomic data to identify fed and fasting insulin signals.