4.8 Article

Collective polarization model for gradient sensing via Dachsous-Fat intercellular signaling

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1307459110

关键词

morphogenesis; cell-cell signaling; modelling

资金

  1. Simons Postdoctoral Fellowship
  2. National Science Foundation [PHY-0844989]
  3. National Institutes of Health [2R01GM078620]
  4. Howard Hughes Medical Institute
  5. Direct For Mathematical & Physical Scien
  6. Division Of Physics [1220616] Funding Source: National Science Foundation

向作者/读者索取更多资源

Dachsous-Fat signaling via the Hippo pathway influences proliferation during Drosophila development, and some of its mammalian homologs are tumor suppressors, highlighting its role as a universal growth regulator. The Fat/Hippo pathway responds to morphogen gradients and influences the in-plane polarization of cells and orientation of divisions, linking growth with tissue patterning. Remarkably, the Fat pathway transduces a growth signal through the polarization of transmembrane complexes that responds to both morphogen level and gradient. Dissection of these complex phenotypes requires a quantitative model that provides a systematic characterization of the pathway. In the absence of detailed knowledge of molecular interactions, we take a phenomenological approach that considers a broad class of simple models, which are sufficiently constrained by observations to enable insight into possible mechanisms. We predict two modes of local/cooperative interactions among Fat-Dachsous complexes, which are necessary for the collective polarization of tissues and enhanced sensitivity to weak gradients. Collective polarization convolves level and gradient of input signals, reproducing known phenotypes while generating falsifiable predictions. Our construction of a simplified signal transduction map allows a generalization of the positional value model and emphasizes the important role intercellular interactions play in growth and patterning of tissues.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据