[Multicellular interaction] Year Started : 2021

Minako Ueda

Development of novel research strategy that integrates low dimensionalized bioinformation with multilevel modeling

Research Director
Minako Ueda

Professor
Graduate School of Life Sciences
Tohoku University

Collaborator
Satoru Tsugawa Assistant Professor
Faculty of Systems Science and Technology
Akita Prefectural University
Takumi Higaki Professor
Faculty of Advanced Science and Technology
Kumamoto University
Koichi Fujimoto Professor
Graduate School of Integrated Sciences for Life
Hiroshima University
Outline

High dimensional and hierarchical natures of living systems have been elementary obstacles to understanding the whole molecular mechanisms of which genes control which events to contribute to which rules. In this project, we will quantitatively generate multilevel mathematical models that recapitulate the spatiotemporal dynamics of living systems. By combining these models with low dimensionalized omics and imaging data, we aim to develop a novel strategy to comprehensively identify the molecular underpinnings and the control principle of the complex living systems.

Koji Okamoto

Quantitative reconstruction of spatial organization of refractory cancers via integrative analyses of single-cell and spatial multiomics

Research Director
Koji Okamoto

Professor
Advanced Comprehensive Research Organization
Teikyo University

Collaborator
Ryuji Hamamoto Chief
Research Institute
National Cancer Center
Yasushi Yatabe Department Director
National Cancer Center Hospital
National Cancer Center
Outline

It has been reported that chemoresistance of clinical cancers is intricately associated with intercellular networks within tumor ecosystem. In this project, we will combine integrative analyses of single-cell and spatial multiomics with various mathematical models and investigate spatial organization and intercellular interaction in clinical cancers and mouse tumor xengrafts. Through our approach, we will visualize cell-cell interactions within tumor microenvironment and thereby reveal a global picture of intercellular networks that are responsible for sustaining chemoresistance of refractory cancers.

Shinya Kuroda

Spatio-temporal trans-omics analysis of metabolic control mechanisms of multi-cellular organ systems

Research Director
Shinya Kuroda

Professor
Graduate School of Science
The University of Tokyo

Collaborator
Yuka Inaba Associate Professor
Institute for Frontier Science Initiative
Kanazawa University
Tomoyoshi Soga Professor
Institute for Advanced Biosciences
Keio University
Outline

Metabolic homeostasis in the mammals is regulated at the molecular level by trans-omics networks across the multi-omic layers of DNA, RNA, proteins, and metabolites; at the cellular level by the optimal spatial arrangement (zonation) of metabolic cells within organs; and at the organ level by crosstalk between the endocrine and autonomic nervous systems. In this study, we investigate the molecular and autonomic regulation of the endocrine and autonomic nervous systems. We will integrate molecular, cellular, and organ levels using spatio-temporal transomic analysis to elucidate the mechanism of metabolic homeostasis.

Hirofumi Shintaku

Annotating multicellular fate dynamics via RNA movie

Research Director
Hirofumi Shintaku

Professor
Institute for life and medical sciences
Kyoto University

Collaborator
Takahiro Kuchimaru Associate Professor
Graduate Scholl of Medicine
Jichi Medical University
Asako Sakaue-Sawano Research Scientist
Center for Brain Science
RIKEN
Hidekazu Nishikii Associate Professor
Faculty of Medicine
University of Tsukuba
Outline

Omics approaches are powerful but mostly endpoint measurements, limiting our understanding of regulatory networks of genetic interaction. Our project will devise an approach, RNA movie, that visualizes spatial-temporal transcriptional dynamics and the regulatory network by exploiting RNA-sampling from living multicellular systems via nanoelectroporation. We will utilize our approach to explore the fate dynamics of multicellular systems in various contexts of diseases and development.

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