2017 Fiscal Year Final Research Report
Elucidation of neuronal networks to control conflicts between different memories
Project/Area Number |
15K06698
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Neurophysiology / General neuroscience
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Research Institution | The University of Tokyo |
Principal Investigator |
Matsushima Ayano 東京大学, 大学院医学系研究科(医学部), 客員研究員 (10706740)
|
Project Period (FY) |
2015-04-01 – 2018-03-31
|
Keywords | E-SARE |
Outline of Final Research Achievements |
In this study, we modified already-existing activity-dependent promoter to dissect active and inactive subpopulations within a neuronal population defined by a promoter. By combining the modified activity-dependent promoter and Boolean logical operation using multiple recombinases, we succeeded in manipulating their activities in opposite direction. Here, we applied this method to CA1 region of PV-Cre mice. Activity-dependent division of PV+ neurons revealed the existence of endogenous activity gradient that is programmed developmentally, and this gradient contributes to the coherent locomotion on the environmental geometry.
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Free Research Field |
Neuroscience
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