Presentation | 2009-12-11 On a computational method for the extraction of the critical signal transduction pathways out of the large-scale molecular network in the postsynaptic plasticity of striatal medium spiny neurons Yousuke INUI, Takashi TATENO, |
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Abstract(in English) | In this study, we aimed at understanding complex interactions between molecules in a large-scale molecular network in the postsynaptic plasticity of striatal medium spiny neurons. For the first step, to this end, we modeled the network and extracted several critical signal transduction pathways out of it. Our results of model simulation revealed that coincidently increasing dopamine and intracellular calcium concentrations was essential for induction of long-term potentiation. However, our model failed to mimic some experimental phenomena in the literature, which implied, in the next step, that several new pathways should be involved in the network model reported here. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | striatum / synaptic plasticity / signal transduction / kinetic simulation |
Paper # | NC2009-68 |
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Committee | NC |
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Conference Date | 2009/12/4(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On a computational method for the extraction of the critical signal transduction pathways out of the large-scale molecular network in the postsynaptic plasticity of striatal medium spiny neurons |
Sub Title (in English) | |
Keyword(1) | striatum |
Keyword(2) | synaptic plasticity |
Keyword(3) | signal transduction |
Keyword(4) | kinetic simulation |
1st Author's Name | Yousuke INUI |
1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
2nd Author's Name | Takashi TATENO |
2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University:PRESTO, Japan Science and Technology Agency |
Date | 2009-12-11 |
Paper # | NC2009-68 |
Volume (vol) | vol.109 |
Number (no) | 333 |
Page | pp.pp.- |
#Pages | 6 |
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