Outline of Research and Education
Our laboratory aims to extract the principle between biological molecules and target biological function and phenotype by computationally analyzing experimental data. We quantitatively associate molecules with function and phenotype to elucidate the underlying mechanism as a set of interactions among various physical quantities. Biological molecules and biochemical interactions actually play an important role in the regulation of biological function and phenotype. Many of functions and phenotypes are expressed in quantities different from molecular concentration, and some of them actively interacting with molecules. In other words, biological system functions as the interactions of multimodal quantities beyond the biochemistry! We aim to understand biological functions and phenotypes as aspects of the multimodal system. To achieve this goal, we collaborate with experimental researchers and analyze experimental data using mathematics and computer programs.
Major Research Topics
Systems biology on cell morphogenesis and migration (Fig.1)
- System between morphogenesis and molecules regulating cytoskeleton formation and mechanical force
- Cell taxis depending on substratum stiffness
- Neuronal axon guidance depending on membrane potential
Systems biology on tissue formation (Fig. 2)
- Cell communication and synchronization for development of vertebrates (Fig. 2)
- Angiogenesis based on cell morphogenesis and migration
Estimation of essential components by machine learning and control theory(Fig. 3)
- Molecular system identification using membrane potential time series and single-cell time series of nutrition response
- Computer-assisted diagnosis using human breath gas
- Estimation of essential kinases using inhibitor compounds
- Frequency response analysis of single-cell response data with system identification method
- Inoue et al, Cell Struct Funct, 2018, in press
- Okimura et al, Phys Rev E, 97:052104, 2018.
- Yamada et al, Sci Rep, 8, 4559, 2018.
- Tsuchiya et al, PLoS Comput Biol, 13, 2017.
- Sakumura et al, Sensors, 17, 2017
- Okimura et al, Cell Adhesion & Migration, 10, 331-341, 2016
- Katsuno et al, Cell Reports, 12, 1–13, 2015
- Fujimuro et al, Scientific Reports, 4, 6462, 2014
- Pham et al, Mol. Microbiol. 90, 584-596, 2013
- Toriyama et al, Curr. Biol. 23, 529–534, 2013
- Kunida et al, J Cell Sci, 125, 2381-2392, 2012
- Kim et al, Mol. Biol. Cell, 22, 3541-3549, 2011