Development of Gene Regulatory Network Analysis Methods for Revealing Cell Differentiation Processes
| Project/Area Number |
22310125
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
System genome science
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| Research Institution | Osaka University |
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Principal Investigator |
MATSUDA Hideo 大阪大学, 情報科学研究科, 教授 (50183950)
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| Co-Investigator(Kenkyū-buntansha) |
TAKENAKA Yoichi 大阪大学, 情報科学研究科, 准教授 (00324830)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000)
Fiscal Year 2012: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2011: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2010: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
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| Keywords | 遺伝子ネットワーク / 細胞分化 / ベイジアンネットワーク / 遺伝子制御ネットワーク / 遺伝子発現プロファイル / バイオインフォマティクス / 遺伝子発現解析 |
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| Research Abstract |
We constructed a mathematical model for expressing gene regulatory relationships, based on gene regulatory networks, on multiple cell differentiations. We successfully explored several regulatory genes appeared in both of the two cell differentiations of mouse adipocytes and osteoblasts. We developed a parallel processing method on massively parallel servers to reduce a large amount of computational costs of the processing.
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Report
(4 results)
Research Products
(30 results)
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[Journal Article] Gene expression profile prospectively predicts peritoneal relapse after curative surgery of gastric cancer2010
Author(s)
A.Takeno, I.Takemasa, S.Seno, M.Yamasaki, M.Motoori, H.Miyata, K.Nakajima, S.Takiguchi, Y.Fujiwara, T.Nishida, T.Okayama, K.Matsubara, Y.Takenaka, H.Matsuda, M.Monden, M.Mori, Y.Doki
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Journal Title
Annals of Surgical Oncology
Volume: Vol.17
Pages: 1033-1042
Related Report
Peer Reviewed
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