Suppr超能文献

果蝇平面细胞极性中的秩序和随机动力学。

Order and stochastic dynamics in Drosophila planar cell polarity.

机构信息

Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA.

出版信息

PLoS Comput Biol. 2009 Dec;5(12):e1000628. doi: 10.1371/journal.pcbi.1000628. Epub 2009 Dec 24.

Abstract

Cells in the wing blade of Drosophila melanogaster exhibit an in-plane polarization causing distal orientation of hairs. Establishment of the Planar Cell Polarity (PCP) involves intercellular interactions as well as a global orienting signal. Many of the genetic and molecular components underlying this process have been experimentally identified and a recently advanced system-level model has suggested that the observed mutant phenotypes can be understood in terms of intercellular interactions involving asymmetric localization of membrane bound proteins. Among key open questions in understanding the emergence of ordered polarization is the effect of stochasticity and the role of the global orienting signal. These issues relate closely to our understanding of ferromagnetism in physical systems. Here we pursue this analogy to understand the emergence of PCP order. To this end we develop a semi-phenomenological representation of the underlying molecular processes and define a "phase diagram" of the model which provides a global view of the dependence of the phenotype on parameters. We show that the dynamics of PCP has two regimes: rapid growth in the amplitude of local polarization followed by a slower process of alignment which progresses from small to large scales. We discuss the response of the tissue to various types of orienting signals and show that global PCP order can be achieved with a weak orienting signal provided that it acts during the early phase of the process. Finally we define and discuss some of the experimental predictions of the model.

摘要

果蝇翅膀边缘的细胞表现出平面内极化,导致毛发的远端取向。平面细胞极性(PCP)的建立涉及细胞间相互作用以及全局定向信号。许多遗传和分子成分已经通过实验鉴定,最近的系统级模型表明,可以根据涉及膜结合蛋白不对称定位的细胞间相互作用来理解观察到的突变表型。在理解有序极化的出现方面,许多关键的开放性问题涉及随机性的影响和全局定向信号的作用。这些问题与我们对物理系统中铁磁性的理解密切相关。在这里,我们通过这种类比来理解 PCP 秩序的出现。为此,我们开发了一种对基础分子过程的半唯象表示,并定义了模型的“相图”,该相图提供了表型对参数的全局依赖性的视图。我们表明,PCP 的动力学有两个阶段:局部极化幅度的快速增长,然后是从小尺度到大尺度的较慢对齐过程。我们讨论了组织对各种定向信号的响应,并表明,如果弱定向信号在过程的早期阶段起作用,则可以实现全局 PCP 秩序。最后,我们定义并讨论了模型的一些实验预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d56/2791803/74bfa249836d/pcbi.1000628.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验