- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Establishment of in vivo and in vitro systems to study the pathophysiology of disuse muscle atrophy
-
- Kaneko Yayoi
- Principal Investigator
- 九州大学
-
- 近藤 久雄
- Co-Investigator
- 九州大学
About This Project
- Japan Grant Number
- JP18K19747 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 18K19747
- Research Category
- Grant-in-Aid for Challenging Research (Exploratory)
- Allocation Type
-
- Multi-year Fund
- Review Section / Research Field
-
- Medium-sized Section 59:Sports sciences, physical education, health sciences, and related fields
- Research Institution
-
- Kyushu University
- Project Period (FY)
- 2018-06-29 〜 2022-03-31
- Project Status
- Completed
- Budget Amount*help
- 6,500,000 Yen (Direct Cost: 5,000,000 Yen Indirect Cost: 1,500,000 Yen)
Research Abstract
We aim to clarify the pathological role of the oxidative stress in disuse muscle atrophy from a cell biological point of view. We previously observed the fragmentation of the Golgi apparatus in atrophied cells, which suggesting the disfunction of the intracellular transport system. One possible mechanism of the Golgi fragmentation is the inhibition of membrane fusion. In this study, we focused on a membrane tethering machinery required for the membrane fusion, especially for its specificity, in the Golgi. We have identified a novel membrane tethering factor, FTCD, in the Golgi and have succeeded in establishing both in vivo and in vitro systems which enable us to monitor the assembly/disassembly of the Golgi membrane tethering machinery in living cells and a test tube.
Details 詳細情報について
-
- CRID
- 1040282256983047936
-
- Text Lang
- ja
-
- Data Source
-
- KAKEN