Development of reverse optogenetics and its application for analysis of a neural network related to C. elegans locomotion
| Project/Area Number |
17K19452
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Neuroscience and related fields
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| Research Institution | Kyoto University |
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Principal Investigator |
Wataru Aoki 京都大学, 農学研究科, 助教 (10722184)
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| Project Period (FY) |
2017-06-30 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2018: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2017: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
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| Keywords | optogenetics / reverse optogenetics / functional cellomics / C. elegans / neural network / Connectome / Reverse optogenetics |
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| Outline of Final Research Achievements |
C. elegans has a simple neural network composed of 302 neurons, and its computation mechanisms have not been well understood. We developed a novel methodology, functional cellomics, for hypothesis-free functional annotation of single neurons on C. elegans behavior. We applied functional cellomics to egg-laying behavior of C. elegans, and succeeded in high-throughput re-annotation of neurons which are important for the egg-laying behavior. Furthermore, we have constructed an automatic worm tracking system, and are analyzing neurons which affect C. elegans locomotion. In the future, functional cellomics will support our understanding on universal computation mechanisms of brains.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の独創性は、従来の発想を逆転させ、仮説を必要としない網羅的解析法を神経ネットワーク研究に導入することに集約される。本申請は、仮説フリー・ハイスループット・1細胞分解能の方法論を細胞ネットワークレベルの研究に新しく導入するものである。本方法論により、動物の行動を高精度に予測できる神経ネットワークモデルの構築に成功すれば、神経系の普遍的動作原理を理解する上で大きなマイルストーンとなる。
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Report
(3 results)
Research Products
(13 results)
