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Shimada, Mikio*; Tokumiya, Takumi*; Miyake, Tomoko*; Tsukada, Kaima*; Kanzaki, Norie; Yanagihara, Hiromi*; Kobayashi, Junya*; Matsumoto, Yoshihisa*
Journal of Radiation Research (Internet), 64(2), p.345 - 351, 2023/03
Times Cited Count：1 Percentile：0.01(Biology)Collaborative Laboratories for Advanced Decommissioning Science; Tokyo Institute of Technology*
JAEA-Review 2021-029, 64 Pages, 2021/12
JAEA-Review-2021-029.pdf:2.74MB
The Collaborative Laboratories for Advanced Decommissioning Science (CLADS), Japan Atomic Energy Agency (JAEA), had been conducting the Nuclear Energy Science & Technology and Human Resource Development Project (hereafter referred to "the Project") in FY2020. The Project aims to contribute to solving problems in the nuclear energy field represented by the decommissioning of the Fukushima Daiichi Nuclear Power Station, Tokyo Electric Power Company Holdings, Inc. (TEPCO). For this purpose, intelligence was collected from all over the world, and basic research and human resource development were promoted by closely integrating/collaborating knowledge and experiences in various fields beyond the barrier of conventional organizations and research fields. The sponsor of the Project was moved from the Ministry of Education, Culture, Sports, Science and Technology to JAEA since the newly adopted proposals in FY2018. On this occasion, JAEA constructed a new research system where JAEA-academia collaboration is reinforced and medium-to-long term research/development and human resource development contributing to the decommissioning are stably and consecutively implemented. Among the adopted proposals in FY2018, this report summarizes the research results of the "Establishment of the measurement system of radiation dependent mutation in organ cells derived from human induced pluripotent stem cells" conducted from FY2018 to 2020. Since the final year of this proposal was FY2020, the results for three fiscal years were summarized. The present study aimed to establish measurement system of radiation dependent mutation for analyze radiation effect to the human body. A distinctive feature of this study is to compare several organ cells which possess same genome DNA using human induced pluripotent stem cell. Further, using artificial intelligence technology and machine leaning method, we analyzed differences of mutation frequency during samples.
Collaborative Laboratories for Advanced Decommissioning Science; Tokyo Institute of Technology*
JAEA-Review 2020-061, 56 Pages, 2021/01
JAEA-Review-2020-061.pdf:2.93MB
The Collaborative Laboratories for Advanced Decommissioning Science (CLADS), Japan Atomic Energy Agency (JAEA), had been conducting the Nuclear Energy Science & Technology and Human Resource Development Project (hereafter referred to "the Project") in FY2019. The Project aims to contribute to solving problems in the nuclear energy field represented by the decommissioning of the Fukushima Daiichi Nuclear Power Station, Tokyo Electric Power Company Holdings, Inc. (TEPCO). For this purpose, intelligence was collected from all over the world, and basic research and human resource development were promoted by closely integrating/collaborating knowledge and experiences in various fields beyond the barrier of conventional organizations and research fields. The sponsor of the Project was moved from the Ministry of Education, Culture, Sports, Science and Technology to JAEA since the newly adopted proposals in FY2018. On this occasion, JAEA constructed a new research system where JAEA-academia collaboration is reinforced and medium-to-long term research/development and human resource development contributing to the decommissioning are stably and consecutively implemented. Among the adopted proposals in FY2018, this report summarizes the research results of the "Establishment of the measurement system of radiation dependent mutation in organ cells derived from human induced pluripotent cells" conducted in FY2019. In this study, we aimed to establish measurement system of radiation dependent mutation for analyze radiation effect to the human body. A distinctive feature of this study is to compare several organ cells which possess same genome DNA using human induced pluripotent stem cell. Further, using artificial intelligence technology and machine leaning method, we will analyze differences of mutation frequency during samples.
Collaborative Laboratories for Advanced Decommissioning Science; Tokyo Institute of Technology*
JAEA-Review 2019-026, 51 Pages, 2020/01
JAEA-Review-2019-026.pdf:2.8MB
JAEA/CLADS had been conducting the Center of World Intelligence Project for Nuclear Science/Technology and Human Resource Development (hereafter referred to "the Project") in FY2018. The Project aims to contribute to solving problems in nuclear energy field represented by the decommissioning of the Fukushima Daiichi Nuclear Power Station, Tokyo Electric Power Company Holdings, Inc. For this purpose, intelligence was collected from all over the world, and basic research and human resource development were promoted by closely integrating/collaborating knowledge and experiences in various fields beyond the barrier of conventional organizations and research fields. Among the adopted proposals in FY2018, this report summarizes the research results of the "Establishment of Measurement System for Radiation-dependent Mutation in Organ Tissue Cells Derived from Human iPS Cells". The purpose of the present study is to establish an experimental system to evaluate the difference in radiation-dependent mutation among tissues. In previous studies, unified evaluation of the difference in radiation-dependent mutation among tissues has been difficult because the mutation rate among tissues had been evaluated using cell lines taken from different individuals. Recent biotechnological innovation in stem cell field represented by iPS cells has become enable to induce differentiation of tissue cells from a single cell. In the present study, Tokyo Institute of Technology produce tissue cells in nervous, dermal, blood and circulatory systems by unifying these new technologies. Using these tissue cells, we measure the mutation rate for each tissue after the radiation exposure, and aim to establish an experimental system to evaluate the difference in mutation depending on tissues by constructing a mathematical model.
