2022 Fiscal Year Final Research Report
Mathematical studies on cell aggregates
| Project/Area Number |
16K05523
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Biological physics/Chemical physics/Soft matter physics
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| Research Institution | Nihon University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2023-03-31
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| Keywords | フェーズフィールド法 / 細胞集団 / 形態形成 / 細胞運動 |
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| Outline of Final Research Achievements |
In order to construct a mathematical model of cell shape that takes into account the internal state of the cell and molecular localization, numerical calculations were performed for oocytes and cysts, incorporating the calculation of division planes that take into account molecular localization. To develop a mathematical model of cell population dynamics, we analyzed experimental images of cell populations using particle image velocimetry (PIV) and machine learning to quantify the characteristics of cell population dynamics. We also devised a new method for extracting cell contours. In the future, we intend to use the findings of this study to conduct mathematical research to further our understanding of cell morphogenesis and functional expression.
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| Free Research Field |
数理生物学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では細胞集団を表すフェーズフィールドモデルに細胞分裂や分子の局在を汲み込み，さらにそれを用いて卵割や嚢胞などの数値計算を行った．また，PIVや粒子法，機械学習などのさまざまな手法を用いて，細胞集団運動の特性を数値化し，今後の細胞集団運動の数理モデル開発への道筋をつけた．本研究成果は，個々の細胞が形態形成や機能発現に与える影響の解明に向けた数理的研究への展開が期待できる．
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