This CREST project aims to develop novel analytical technologies and theories that lead to the understanding of the dynamics of biosystems through spatiotemporal analysis of multicellular interactions and the development of technologies at the molecular or cellular levels.

　With recent progress in omics and imaging technologies at the single cell level and in computer science, comprehensive and quantitative analysis of cells and biomolecules is becoming possible. This will lead to changes in life sciences methodologies in research that focuses on individual genes and molecules and in more complex analyses, such as targeting changes in many genes and molecules in single cells. However, there are many technological bottlenecks in the spatiotemporal analysis of cells and molecules, and in the three-dimensional analysis of tissues and organisms. Therefore, highly quantitative measurement methods and data analysis techniques that enable an understanding of spatiotemporal aspects of cellular and molecular dynamics in tissues and living organisms are required.

　This project, thus, aims to develop new technologies and theories that contribute to the understanding of the spatiotemporal aspects of cellular and molecular networks and to promote research and development on the elucidation of multicellular dynamics. In addition, we will build technology platforms to predict and manipulate multicellular dynamics based on high-quality data and parameters obtained through this research and development.