Mathematical Biology and Medicine
In recent years, interdisciplinary research that applies mathematics to solve various phenomena and problems has achieved significant growth and is about to change the times. Our group is engaged in cutting-edge applied mathematics research, including the elucidation of developmental processes involved in pattern formation in the life sciences and the solution of difficult problems in intractable autoimmune diseases.
Our group is developing a method that integrates mathematical model-driven and data-driven approaches to solve the mysteries of life science that approaches the essential question, “How were we created?”. In addition, for clinical medicine, where biological experiments themselves are difficult and the methods for solving them are extremely limited, we are constructing a new fusion research method that connects clinical medicine and cell biology experiments from the concept of “shape” by using mathematical modeling with a novel idea.
Our group aims to create new concepts in the regulation of cell functions and to apply them to regenerative medicine and disease treatment by unraveling the mysteries of various biological phenomena based on “pattern and shape” as keywords. Furthermore, by discovering the universality (truth) of the life derived from mathematical models, we aim to elucidate the principles underlying human biology and to pioneer mathematical human biology.
Student(Assistant Technical Staff)
S. Seirin-Lee*, K. Yamamoto, A. Kimura*(* Co-corresponding),The extra-embryonic space and the local contour are critical geometric constraints regulating cell arrangement (2022) Development. 149,dev200401. doi:10.1242/dev.200401 (Press Released)
S. Seirin-Lee, The role of cytoplasmic MEX-5/6 polarity in asymmetric cell division. Bulletin of Mathematical Biology. (2021) 83:29.
S. Seirin-Lee, Y. Yanase, S. Takahagi, M. Hide, Multifarious Eruptions of Urticaria Solved by A Simple Mathematical Equation. PLOS Computational Biology (2020) 16(1): e1007590. (Press Release.)
S. Seirin-Lee, M. Nomata, M. Mukunoki, Mathematical modeling and regionality-based optimal policy to reduce empty houses, Akiya, in Japan. Japan Journal of Industrial and Applied Mathematics (2020) 37:365-382
S. Seirin-Lee, Fumitaka Osakada, Junichi Takeda, Satoshi Tashiro, Ryo Kobayashi, Takashi Yamamoto, Hiroshi Ochiai, Role of dynamic nuclear deformation on genomic architecture reorganization. PLOS Computational Biology (2019) 15 (8): e1007289. (Press Release.)
M. Kuwamura, S. Seirin-Lee, S-I. Ei, Dynamics of localized unimodal patterns in reaction-diffusion systems related to cell polarization by extracellular signaling. SIAM J. on Applied Mathematics (2018) 78, No6, 3238-3257.
S. Seirin Lee, S. Tashiro, A. Awazu, R. Kobayashi, A New Application of the Phase-field Method for Understanding the Reorganization Mechanisms of Nuclear Architecture. Journal of Mathematical Biology (2017) 74, 333-354.
S. Seirin Lee, Lateral Inhibition-Induced Pattern Formation Controlled by the Size and Geometry of the Cell. Journal of Theoretical Biology (2016)404, 51-65.