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预测发育中小鼠毛囊模式的时空动态。

Predicting the spatiotemporal dynamics of hair follicle patterns in the developing mouse.

机构信息

Department of Biochemistry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong SAR, China.

出版信息

Proc Natl Acad Sci U S A. 2014 Feb 18;111(7):2596-601. doi: 10.1073/pnas.1313083111. Epub 2014 Feb 3.

Abstract

Reaction-diffusion models have been used as a paradigm for describing the de novo emergence of biological patterns such as stripes and spots. In many organisms, these initial patterns are typically refined and elaborated over the subsequent course of development. Here we study the formation of secondary hair follicle patterns in the skin of developing mouse embryos. We used the expression of sex-determining region Y box 2 to identify and distinguish the primary and secondary hair follicles and to infer the spatiotemporal dynamics of the follicle formation process. Quantitative analysis of the specific follicle patterns observed reveals a simple geometrical rule governing the formation of secondary follicles, and motivates an expansion-induction (EI) model in which new follicle formation is driven by the physical growth of the embryo. The EI model requires only one diffusible morphogen and provides quantitative, accurate predictions on the relative positions and timing of secondary follicle formation, using only the observed configuration of primary follicles as input. The same model accurately describes the positions of additional follicles that emerge from skin explants treated with an activator. Thus, the EI model provides a simple and robust mechanism for predicting secondary space-filling patterns in growing embryos.

摘要

反应扩散模型被用作描述生物模式(如条纹和斑点)从头出现的范例。在许多生物体中,这些初始模式通常在随后的发育过程中得到细化和完善。在这里,我们研究了发育中老鼠胚胎皮肤中次级毛囊模式的形成。我们使用性别决定区 Y 框 2 的表达来识别和区分初级和次级毛囊,并推断毛囊形成过程的时空动态。对观察到的特定毛囊模式的定量分析揭示了一个简单的几何规则,该规则控制着次级毛囊的形成,并激发了一个扩张诱导(EI)模型,其中新的毛囊形成是由胚胎的物理生长驱动的。EI 模型仅需要一种可扩散的形态发生素,并且仅使用观察到的初级毛囊的配置作为输入,就可以对次级毛囊形成的相对位置和时间进行定量、准确的预测。该模型还准确地描述了在经过激活剂处理的皮肤外植体中出现的其他毛囊的位置。因此,EI 模型为预测生长中的胚胎中的次级空间填充模式提供了一种简单而稳健的机制。

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