课题基金 / 基金详情

Transgenic Models of Neuroendocrine Cell Differentiation

Transgenic Models of Neuroendocrine Cell Differentiation
神经内分泌细胞分化的转基因模型
批准号:
9108426
负责人:
Richard Allen
金额:
$13.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-09-01 至 1994-08-31

项目摘要

项目成果

Richard Allen的其他基金

相似基金

相关文献

中文摘要
翻译
将采用遗传学方法研究细胞 胚胎垂体中的特异性。 转基因小鼠 其中胸苷激酶基因的表达 将被定向到促黑素细胞和促皮质细胞, 前阿黑皮素基因的启动子。 细胞表达 转基因将被切除, 消融对其他垂体细胞类型的分化, 用前阿黑皮素细胞重新增殖垂体, 下丘脑-垂体轴的重新分化将是 测定 这些研究提供了一种创新的、非侵入性的 理解细胞间相互作用的方法 在神经发育和规范方面。
英文摘要
A genetic approach will be taken to investigate cell specification in the embryonic pituitary. A transgenic mouse will be made in which expression of the thymidine kinase gene will be directed to melanotropes and corticotropes using the promoter of the pro-opiomelanocortin gene. Cells that express the transgene will be ablated and the consequences of this ablation on the differentiation of other pituitary cell types, repopulation of the pituitary with pro-opiomelanocortin cells and re-differentiation of the hypothalamic-pituitary axis will be determined. These studies offer an innovative, non-invasive approach toward understanding the role of cell-cell interactions in neural development and specification.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
MLTC-M Community of Practice in Statistical Methods for Multimorbidity Research
  • 批准号:
    MR/X004457/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $5.01万
  • 财政年份:
    2022
  • 负责人:
    Richard Allen
  • 依托单位:
I-Corps: Crowdsource sensing of earthquakes
  • 批准号:
    1744819
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2017
  • 负责人:
    Richard Allen
  • 依托单位:
Planning Grant: I/UCRC for Geoscience
  • 批准号:
    1362166
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.62万
  • 财政年份:
    2014
  • 负责人:
    Richard Allen
  • 依托单位:
Prospects for Anglophone Studies: Comparing Indian and British Programmes and Methodologies
  • 批准号:
    AH/I023155/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $4.59万
  • 财政年份:
    2011
  • 负责人:
    Richard Allen
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟