课题基金 / 基金详情

Cell biology of gastric acid secretion

Cell biology of gastric acid secretion
胃酸分泌的细胞生物学
批准号:
DP0556334
负责人:
A/Prof Ian van Driel
金额:
$18.7万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2005
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2005-01-01 至 2007-12-31

项目摘要

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中文摘要
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英文摘要
This research will result in a better understanding of the membrane structures in cells. In turn, this information could be exploited to manipulate ion transport, uptake, secretion of biological molecules, signal transduction events and the delivery and uptake of drugs in a number of disease situations thus leading to more effective therapies. Furthermore, this work will utilise and develop state-of-the-art technologies, contributing to national competitiveness in this area. A number of students and postdoctoral fellows will be trained as a consequence of working on this project
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New genes and models for inflammatory bowel disease
  • 批准号:
    LP100100127
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $22.97万
  • 财政年份:
    2010
  • 负责人:
    A/Prof Ian van Driel
  • 依托单位:
Reg growth factors in gastric regeneration and disease
  • 批准号:
    DP0662959
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $18.98万
  • 财政年份:
    2006
  • 负责人:
    A/Prof Ian van Driel
  • 依托单位:
Biochemical, Genomic and Phenomic Analysis of Gastric Parietal Cells from Wildtype and Mutant Mice
  • 批准号:
    DP0343446
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $10.7万
  • 财政年份:
    2003
  • 负责人:
    A/Prof Ian van Driel
  • 依托单位:
Biochemical, Genomic and Phenomic Analysis of Gastric Parietal Cells from Wildtype and Mutant Mice
  • 批准号:
    ARC : DP0343446
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $15.5万
  • 财政年份:
    2003
  • 负责人:
    A/Prof Ian van Driel
  • 依托单位:
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