2013 Fiscal Year Final Research Report
Informatics and mathematics for In siloco reconstruction of mammalian early embryogenesis
| Project Area | Cell Community in early mammalian development |
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| Project/Area Number |
21116006
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Biological Sciences
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
FUNAHASHI Akira 慶應義塾大学, 理工学部, 准教授 (70324548)
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| Co-Investigator(Renkei-kenkyūsha) |
HIROI Noriko 慶應義塾大学, 理工学部, 講師 (20548408)
HONDA Hisao 兵庫大学, 健康科学部, 教授 (10289118)
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| Project Period (FY) |
2009-07-23 – 2014-03-31
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| Keywords | 発生・分化 / 数理工学 / 細胞・組織 / 生体生命情報学 / シミュレーション工学 |
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| Research Abstract |
In this work, we developed semi-automatic image analysis system for 4D bio-imaging data of mammalian preimplantation embryos. With this system, we can automatically detect the positions of nuclei with 99% accuracy and manually correct the rest of only 1% error. The detected nuclei are subsequently tracked over time by solving an optimization problem for the association of dividing and moving nuclei.The system enables us to track each mouse embryo from one cell up to 16- to 32-cell stage, and successfully reconstructed developmental dynamics of several embryos. By mapping various properties of embryogenesis onto the lineage of a reconstructed embryo, we can analyze the developmental process quantitatively and dynamically.
We also developed bio-image analysis algorithms, data processing methods, and mathematical models that can be used for a variety of developmental phenomena.
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