Tetsutaro Hayashi

This study uses single-cell RNA sequencing to analyze WNT signaling's role in granulosa cell-oocyte interactions during primordial follicle activation, revealing transcriptomic changes and their impact on fertility.

This paper introduces a centrifugation-based method for high-throughput separation of supernatant from magnetic microbeads, offering a faster, cheaper, and more efficient alternative to manual pipetting and robotic systems.

The paper investigates NF-κB super-enhancers in B cells, finding they enhance transcriptional variability and gene expression through cis-regulatory interactions and NF-κB binding sites.

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

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.

This study investigates transcriptional bursting kinetics in mESCs using scRNA-seq and identifies regulatory factors and pathways influencing gene expression noise.

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.

SCODE infers gene regulatory networks from single-cell RNA-Seq data during differentiation, showing improved performance and efficiency compared to existing methods.