| Project/Area Number |
17500417
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sports science
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| Research Institution | Daito Bunka University |
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Principal Investigator |
OSHIRO Satoru Daito Bunka University, Professor, スポーツ・健康科学部・健康科学科, 教授 (30160485)
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| Co-Investigator(Kenkyū-buntansha) |
SONE Toshio Saitama Medical School, Assistant Professor, 免疫学教室, 講師 (20281743)
KUBOTA Tetsuo Tokyo Medical and Dental University, 大学院保健衛生学科, 助教授 (90205138)
KAN Motonari Daito Bunka University, Professor, スポーツ・健康科学部 健康科学科, 教授 (60407658)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2006: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2005: ¥3,200,000 (Direct Cost: ¥3,200,000)
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| Keywords | proteomic analysis / hypoxia / rhabdomyosarcoma cell / transcriptome analyisis / 分子ネットワーク解析 / 低酸素 / ストレス・タンパク質 / プロテオーム / 心筋細胞 |
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| Research Abstract |
Proteomic analysis of cell culture under hypoxia may bring new diagnostic and therapeutic approaches in many diseases such as cancer and vascular disorders, and it may also make a contribution to effect of a training in the highlands and a study of fatigue in sports medicine. In proteomic analysis of a rhabdomysarcoma cell line during hypoxia, we detected 27 protein spots in at least 2 of 3 experiments which showed statistically significant differences in abundance. All 19 protein spots were identified using marix-associated laser desorption/ionization-time of flights mass spectroscopy (MLDI-TOF MS) and database-searching software. It also showed that 6 proteins were upregulated, and 13 proteins were downregulated. All proteins were mainly involved in protein sysnthesis, metabolism(glycolysis, eneregy, nucleotide), stress response (heat shock, protein degradation and stabilization). These results suggest that a proteomic approach would be an efficient way to observe derangement of skeltal muscle cell under low oxygen condition. In transcriptome analysis, we are trying to confirm protein net work among several response pathways for hypoxia and other stress.
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