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Correlations Between the Morphology of Sonic Hedgehog Expression Domains and Embryonic Craniofacial Shape

机译:声波刺猬表达域的形态与胚胎颅面形状的相关性

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摘要

Quantitative analysis of gene expression domains and investigation of relationships between gene expression and developmental and phenotypic outcomes are central to advancing our understanding of the genotype-phenotype map. Gene expression domains typically have smooth but irregular shapes lacking homologous landmarks, making it difficult to analyze shape variation with the tools of landmark-based geometric morphometrics. In addition, 3D image acquisition and processing introduce many artifacts that further exacerbate the problem. To overcome these difficulties, this paper presents a method that combines optical projection tomography scanning, a shape regularization technique and a landmark-free approach to quantify variation in the morphology of Sonic hedgehog expression domains in the frontonasal ectodermal zone (FEZ) of avians and investigate relationships with embryonic craniofacial shape. The model reveals axes in FEZ and embryonic-head morphospaces along which variation exhibits a sharp linear relationship at high statistical significance. The technique should be applicable to analyses of other 3D biological structures that can be modeled as smooth surfaces and have ill-defined shape.
机译:基因表达域的定量分析以及基因表达与发育和表型结果之间关系的研究对于增进我们对基因型-表型图的理解至关重要。基因表达域通常具有光滑但不规则的形状,缺乏同源的地标,因此难以使用基于地标的几何形态计量学的工具来分析形状变化。此外,3D图像采集和处理过程会引入许多伪像,从而进一步加剧了该问题。为了克服这些困难,本文提出了一种结合光学投影层析成像扫描,形状正则化技术和无地标方法的方法,用于量化禽类前额外表皮区(FEZ)中声波刺猬表达域的形态变化。与胚胎颅面形状的关系。该模型揭示了FEZ和胚头形态空间中的轴,这些轴沿其变化表现出尖锐的线性关系,具有很高的统计意义。该技术应适用于其他3D生物结构的分析,这些结构可以建模为光滑的表面并具有不确定的形状。

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