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Functional analysis of the DLC tumor suppressor family in 3D cell culture models

Functional analysis of the DLC tumor suppressor family in 3D cell culture models
DLC 肿瘤抑制家族在 3D 细胞培养模型中的功能分析
批准号:
200536432
负责人:
Professorin Dr. Monilola Afolabi Olayioye
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
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
Deleted in Liver Cancer 3 (DLC3) is a still poorly characterized Rho GTPase-activating protein (GAP) with potential tumor-suppressive function. Work from our lab has shown that DLC3 plays an important GAP-dependent role in maintaining cell-cell adhesions and in controlling RhoB-dependent endocytic membrane transport. The loss of DLC3 expression not only disrupts 3D epithelial morphogenesis, but also promotes the aberrant recycling of transmembrane proteins such as e.g. the epidermal growth factor receptor (EGFR) and the metalloproteinase MT1-MMP. We revealed that the differential recruitment of DLC3 to cell contacts and endosomal membranes is mediated by the PDZ adapter proteins Scribble and SNX27, respectively. Together with our biophysical partners, we have now identified within an intrinsically disordered region in DLC3 a polybasic region mediating the interaction with membranes and whose structural and membrane binding properties appear to be regulated by phosphorylation. This might constitute a central mechanism controlling target membrane recognition and spatiotemporal Rho signaling by DLC3. Interestingly, our database searches revealed the presence of several cancer-associated mutations within the DLC3-PBR. In this project, we will utilize a combination of advanced biophysical, molecular cell biological and imaging techniques to unravel the molecular mechanisms underlying DLC3 activity and interrogate whether mutations in DLC3 can lead to its functional inactivation and are associated with cellular transformation.
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海外基金
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:
利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
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: