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Quantitative analysis of the cellular growth patterns shaping the Arabidopsis ovule

Quantitative analysis of the cellular growth patterns shaping the Arabidopsis ovule
拟南芥胚珠细胞生长模式的定量分析
批准号:
357138058
负责人:
Professor Dr. Kay Schneitz
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
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英文摘要
How an organ attains its three-dimensional architecture represents a salient question in biology. Plant organs are characterized by a huge diversity in sizes and forms. A striking example is provided by the strongly bent Arabidopsis ovule. Ovule curvature is the consequence of poorly understood cellular and tissue-level events that occur during growth of the two integuments, lateral sheet-like tissues that eventually develop into the seed coat. We use Arabidopsis integuments as model system to study how tissue sheets develop into complex three-dimensional shapes. In previous work we succeeded in generating 3D digital ovule models with cellular resolution encompassing all developmental stages. In this project we will build on and extend those efforts. We will focus on the question how the ovule bends itself to its final shape. To this end we will apply genetics, advanced imaging and mathematical modelling of growth. In an iterative approach between experiment and model-based predictions, we will investigate the cellular mechanism underlying integument growth and ovule curvature. This interdisciplinary approach will not only improve our understanding of ovule curvature but will also contribute to the general knowledge of how organs shape themselves into complex three-dimensional structures.
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Regulation of planar growth during integument development of Arabidopsis thaliana.
Analysis of SLM-dependent signaltransduction mediating floral organ shape in Arabidopsis thaliana
Coordination of proximal-distal and adaxial-abaxial patterning during early ovule development of Arabidopsis thaliana
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
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基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: