Systems biological analysis of signal transduction in growth cones
| Project/Area Number |
21300112
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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 |
Bioinformatics/Life informatics
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| Research Institution | Keio University |
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Principal Investigator |
OKA Kotaro 慶應義塾大学, 理工学部, 教授 (10276412)
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| Co-Investigator(Kenkyū-buntansha) |
FUNAHASHI Akira 慶應義塾大学, 理工学部, 准教授 (70324548)
HOTTA Kohji 慶應義塾大学, 理工学部, 専任講師 (80407147)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥18,330,000 (Direct Cost: ¥14,100,000、Indirect Cost: ¥4,230,000)
Fiscal Year 2011: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
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| Keywords | 生体生命システム情報学 / 成長円錐 / セカンドメッセンジャー / Ca / サイクリックAMP / サイクリックGMP / 蛍光イメージング / システム生物学 / 定量生物学 / 神経回路形成 / 蛍光共鳴エネルギー移動 / 蛍光タンパク質センサー / マルチカラーイメージング |
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| Research Abstract |
We developed two methods for analyzing the behavior of the growth cones in neurons : FRET-based imaging technique for visualizing the intracellular second messengers(cAMP, cGMP and Ca^<2+>) and quantitative simulation technique for intracellular second messenger concentrations and mobility(elongation and contraction) of the growth cones. Our main achievements are followings.
(1) New types of FRET sensors, simultaneous fluorescent observation equipment, and a software for linear separation of fluorescence were developed for visualizing intracellular second messenger cross-talk. Using this new method, we succeeded to measure the intracellular second messenger dynamics during actively mobile growth cones in detail.
(2) We developed a mathematical model, and it predicted that the concentration of cyclic nucleotide controls the frequency of the emergency of filopodia, and the turning direction of whole structure. We also developed a spatial model based on the above biochemical model. We reconstructed the turning phenomenon of a whole growth cone by setting the movement at each microdomain, which is represented by the lattices in the reaction space.
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Report
(4 results)
Research Products
(17 results)
