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Stoichiomeric biology and life cycle of the SNAREs

Stoichiomeric biology and life cycle of the SNAREs
SNARE 的化学计量生物学和生命周期
批准号:
183299061
负责人:
Professor Dr. Thorsten Lang
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2010
资助国家:
德国
项目状态:
已结题
起止时间:
2009-12-31 至 2015-12-31

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中文摘要
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英文摘要
The exocytotic SNAREs are clustered in membranes, a concept which is common for essentially all membrane proteins investigated to date. This constitutes new challenges for biological sciences: first, to unravel the roles and dynamics of free versus clustered proteins and second, to understand both the flow into the cluster system and the flow out of the cluster system. Here, we propose to combine the expertise of our laboratories to study the life-cycle of SNAREs, the relative proportions between different SNARE-populations and basics of SNARE protein clustering/stoichiometry in the synapse. We will determine the numbers of SNAREs in the synapse, their clustering, as well as the exchange between clustered and free proteins, as well as the trafficking of SNAREs into and out of the synapse. We will determine the fraction of SNAREs specifically required for synapse function (the active pool), and we will assess whether the clusters are functional units directly involved in exocytosis. Finally, we will test whether the clusters represent reserve pools of molecules, or whether they have a signaling function, for example in concentrating accessory proteins. We expect that unraveling the stoichiometric biology and the life cycle of SNAREs will greatly advance our understanding of synaptic function. More importantly, we will obtain for the first time an understanding of the functional organization of a set of proteins in biological membranes.
期刊论文(1)
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会议论文
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国内基金
海外基金
组蛋白乙酰化修饰ATG13激活自噬在牵张应力介导骨缝Gli1+干细胞成骨中的机制研究
  • 批准号:
    82370988
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    经典
  • 依托单位:
Journal of Integrative Plant Biology
  • 批准号:
    31024801
  • 项目类别:
    专项基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2010
  • 负责人:
    贺萍
  • 依托单位:
Computational Methods for Analyzing Toponome Data