Our laboratory seeks to answer fundamental questions by leveraging large-scale data analysis: Why does cancer lead to systemic dysfunction? How are daily stress and aging interconnected? What biological effects does device usage have on the human body? Recent technological advances have dramatically expanded the amount of information that can be obtained in life sciences and medicine. Sequencing an entire genome is no longer difficult. It is now possible to comprehensively measure the expression levels of more than 20,000 genes within a single cell, as well as hundreds of metabolites. In addition, extensive background information on individuals—such as age, sex, and medical history—can now be accumulated and analyzed. While technological innovation has greatly increased data availability, it has also introduced new challenges. Even when large-scale data are obtained, interpreting what the information truly means is often difficult. Integrating data across different layers—for example, linking gene expression profiles with clinical histories—remains particularly challenging. Addressing these fundamental questions has become increasingly important: How can we generate data that are inherently interpretable? How can we extract meaningful insights from complex, large-scale datasets?  Our laboratory aims to understand diverse interactions within and around biological systems through the following three research themes:

(1) Mechanisms by which cancer disrupts organismal homeostasis (tumor–host interactions)
(2) Regulatory roles of non-coding genomic regions in metabolism, immunity, and aging (molecular interactions)
(3) Effects of daily activities and social environments on human biology (environment–human interactions)