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Collaborative Laboratories for Advanced Decommissioning Science; National Institutes for Quantum Science and Technology*
JAEA-Review 2022-051, 78 Pages, 2023/01
JAEA-Review-2022-051.pdf:7.12MB
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 FY2021. 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 FY2019, this report summarizes the research results of the "Establishing a new evaluation system to characterize radiation carcinogenesis by stem cell dynamics" conducted from FY2019 to FY2021. Since the final year of this proposal was FY2021, the results for three fiscal years were summarized. In this study, we will use cell lineage tracing technology that can permanently label stem cells and their progenies to capture and mathematically model the long-term clonal proliferation of cells in mammary tissue after high to low dose radiation exposure to determine the origin of radiation carcinogenesis, the stem cells. The objective is to characterize radiation-induced breast cancer by its dynamics.
Collaborative Laboratories for Advanced Decommissioning Science; National Institutes for Quantum Science and Technology*
JAEA-Review 2021-052, 52 Pages, 2022/01
JAEA-Review-2021-052.pdf:2.63MB
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 FY2019, this report summarizes the research results of the "Establishing a new evaluation system to characterize radiation carcinogenesis by stem cell dynamics" conducted in FY2020. In this study, the long-term clonal expansion of mammary stem cells after high- to low-dose radiation exposure was investigated using stem-cell lineage tracing technology that can permanently label stem cells and their progenies. The purpose of this study is to characterize radiation-induced breast cancer based on the dynamics of radiation-exposed stem cells by capturing proliferation and analyzing it using a mathematical model.
Collaborative Laboratories for Advanced Decommissioning Science; National Institutes for Quantum and Radiological Science and Technology*
JAEA-Review 2020-045, 52 Pages, 2021/01
JAEA-Review-2020-045.pdf:3.13MB
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 FY2019, this report summarizes the research results of the "Establishing a new evaluation system to characterize radiation carcinogenesis by stem cell dynamics" conducted inFY2019. In this study, the long-term clonal expansion of mammary stem cells after high- to low-dose radiation exposure was investigated using stem-cell lineage tracing technology that can permanently label stem cells and their progenies. The purpose of this study is to characterize radiation-induced breast cancer based on the dynamics of radiation-exposed stem cells by capturing proliferation and analyzing it using a mathematical model. The goal of this study is to develop a new evaluation system that can characterize previously undiscovered "radiation signatures" by stem cell dynamics.
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.
Ouchi, Noriyuki
Hoken Butsuri, 40(2), p.166 - 169, 2005/06
Development of the new mathematical model of the carcinogenesis in a low dose in mind is reported. The new model which describes from cell canceration to the tumorigenesis in consideration of the physical dynamics of a cell level was built. In a cell group level, it has both intra-cellular dynamics, such as mutation, cell division, and cell death, and physical dynamics such as, adhesion between cells, modification, and movement, and a model can investigate with time that tumor is formed.
Matsunaga, Takeshi; Monte, L.; Tsuzuki, Katsunori; Yanase, Nobuyuki; Hanzawa, Yukiko; Ueno, Takashi
JAERI-Review 2003-039, 150 Pages, 2004/01
JAERI-Review-2003-039.pdf:11.12MB
Concerning radionuclides that might be released in an event of an accident from a nuclear facility, much attention has been paid to the migration pathways including the inflow to surface water bodies since the Chernobyl accident. In order to have discussions related to the current development of a mathematical model of the behavior of radionuclides in a river watershed, JAERI invited a guest scientist specializing in mathematical modeling of radioecology, Luigi Monte of Italian National Agency for New Technologies Energy and the Environment (ENEA: Ente per le Nuove tecnologie,L'Energia e l'Ambiente) of Italy, from May 22 to June 20 of 2003. This report is a summary of presentations and discussion made at the occasion of the visit of Dr. Monte at JAERI and also at relevant institutions of Japan involved in this study field. As a result of these discussions, distinct advantages and key problems of a mathematical model for prediction of the migration of radionuclides in a river watershed have been identified and analyzed.
Mineo, Hideaki; Goto, Minoru; Iizuka, Masaru*; Fujisaki, Susumu; Hagiya, Hiromichi*; Uchiyama, Gunzo
Separation Science and Technology, 38(9), p.1981 - 2001, 2003/05
Times Cited Count：22 Percentile：63.74(Chemistry, Multidisciplinary)no abstracts in English
Mineo, Hideaki; Goto, Minoru; Iizuka, Masaru*; Fujisaki, Susumu; Uchiyama, Gunzo
Journal of Nuclear Science and Technology, 39(3), p.241 - 247, 2002/03
Times Cited Count：26 Percentile：82.31(Nuclear Science & Technology)no abstracts in English
Hwang, G.; Onuki, Kaoru
Journal of Membrane Science, 194(2), p.207 - 215, 2001/12
Times Cited Count：59 Percentile：87.3(Engineering, Chemical)no abstracts in English
Murata, Mikio*; Noguchi, Hiroshi; Yokoyama, Sumi*
JAERI-Data/Code 2000-034, 214 Pages, 2000/11
JAERI-Data-Code-2000-034.pdf:7.43MB
no abstracts in English
Uchiyama, Gunzo; Fujine, Sachio; Yoshida, Zenko; Maeda, Mitsuru; *
JAERI-Research 98-005, 20 Pages, 1998/02
JAERI-Research-98-005.pdf:0.63MB
no abstracts in English
Nishimura, Hideo
JAERI-M 91-219, 98 Pages, 1992/01
no abstracts in English
; Matsuzuru, Hideo; *
JAERI-M 88-089, 36 Pages, 1988/05
no abstracts in English
; ; ;
JAERI-M 7064, 115 Pages, 1977/05
no abstracts in English
Ouchi, Noriyuki
no journal, ,
Radiation sensitivity via cell survival shows cyclic radiation response, i.e. minimal when cells are irradiated in the early post-mitotic (G1) and the pre-mitotic (G2) phases of the cell cycle, and maximal in the mitotic (M) phase and late G1 or early synthesis (S) phases. Origin of the cell-cycle dependent radiation sensitivity is supposed to be a consequence of some intra-cellular dynamics, e.g. regulation mechanism of cell-cycle checkpoint, repair ability of DNA damage and higher order structure of chromosomes, no explicit theoretical explanation exists on this cyclic response yet. Here, cell-cycle dependent radiation sensitivity is studied from the viewpoints of dynamical aspects of chromosome in association with its cell-cycle dependent structural changes. For this purpose, dynamical model of chromosome is mathematically constructed based on the elastic nature of chromosomes and its radiation effects are simulated by introducing DNA double strand break (DSB) to the model.
