What we doing!

DNA-seq (WGS, WXS, Target panel)

We conduct research on various types of NGS-based DNA sequencing in our laboratory. DNA sequencing is fundamental to understanding genetic changes underlying various diseases and biological phenomena, enabling investigations into disease causation and biological factors. Currently, our laboratory focuses on studying aging using diverse mouse models and human models, with a particular emphasis on bone aging and cancer research.

RNA-seq (Single cell, Spatial Transcriptome, Multiome)

We possess expertise in NGS-based bulk and single-cell RNA sequencing analysis. Our research involves employing machine learning and statistical approaches to analyze gene expression changes which ranging from the single-cell level to case-control design with macro approach. Through these analyses, we can extract biological insights into time-temporal signals and relative differences in cellular communications.
In particular, we are also conducting research on Aging and Alzheimer's disease using the latest NGS technology with spatial transcriptomics.

Epigenome-seq (ATAC-seq, ChIP-seq, Hi-C)

We are particularly interested in studying various types of epigenetic changes that regulate gene expression. By observing the diverse changes in the epigenome during cellular differentiation processes, we aim to interpret biological phenomena that cannot be explained solely by single NGS techniques. Recently, we have been planning to expand our research by incorporating single-cell level experiments, which will allow us to conduct studies that were previously focused on bulk approaches.

Data analysis & Methodology

We integrate various statistical approaches and bioinformatics methodologies for multi-omics genomic analysis. Our research involves the application of diverse analytical methodologies, ranging from machine learning to artificial intelligence utilizing GPUs, to effectively interpret the latest NGS technologies and develop novel methodologies.