| Project/Area Number |
23659748
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Anesthesiology/Resuscitation studies
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| Research Institution | Kyoto Prefectural University of Medicine |
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Principal Investigator |
SAWA Teiji 京都府立医科大学, 医学(系)研究科(研究院), 教授 (10206013)
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| Co-Investigator(Kenkyū-buntansha) |
IKEGAWA Masaya 同志社大学, 生命科学, 教授 (60381943)
HASHIMOTO Satoru 京都府立医科大学, 医学研究科, 病院教授 (90167578)
MATSUYAMA Hiroki 京都府立医科大学, 医学研究科, 客員講師 (80515289)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 急性肺傷害 / 気管支鏡下マイクロサンプリング法 / プロテオーム / 肺上皮被覆液 / LCMSMS / ELFICAT / 気管支マイクロサンプリング法 / マススペクトロメトリー / プロテオミクス / 急性呼吸窮迫症候群 / プロテオーム解析 / 急性肺障害 / 肺傷害 / マイクロサンプリング |
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| Outline of Final Research Achievements |
We established the new method for the proteomic analysis of the lung epithelial lining fluids. In this study, we harvested the lung epithelial lining fluids by using bronchoscopic micro sampling (BMS), and analyzed them by LC/MS/MS. This method enabled us to efficiently and effectively analyze the micro volume samples, in comparison with classic methods such as bronchoalveolar lavage (BAL). To analyze the proteomic data by web-browser based computer technology, we developed a new analysis software named “Elficat”. Elficat uses various software technologies such as XML-database, and sever-side XSLT and SVG. By using the Elficat, we can visualize the data from multiple groups that contain the data from a set of patients. We can apply this method to the proteomic analysis for acute lung injury such as acute respiratory distress syndrome.
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