Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution II: dynamics.
Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution II: dynamics.
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细胞分辨率II：动力学的果蝇胚胎中的三维形态和基因表达。
DOI：
10.1186/gb-2006-7-12-r124
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发表时间：
2006
期刊：
影响因子：
12.3
通讯作者：
中科院分区：
文献类型：
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作者：
一个新的时空坐标框架研究果蝇胚盘中的基因表达的三维模式，考虑到以前未被发现的形态运动。为了准确描述基因表达和计算模型动物转录网络，必须确定细胞在发育胚胎中的变化位置。使用自动图像分析方法，我们以果蝇胚盘为模型，首次以细胞分辨率定量描述了整个胚胎形态和基因表达的时间变化。基于固定和活胚胎的分析揭示了在原肠胚形成之前由核运动引起的核密度模式的复杂的、先前未检测到的三维变化。基因表达模式移动，部分，这些形态学的变化，但表达模式的额外的空间转移也被看到，支持先前提出的模式动力学模型的基础上诱导和抑制基因表达。我们发现，突变破坏前/后（a/p）或背/腹（d/v）转录级联改变形态和基因表达沿着这两个a/p和d/v轴的方式表明，这两个图案系统通过转录和形态机制相互作用。我们的工作建立了一个新的策略，用于测量细胞和基因表达模式的位置的时间变化，使用固定的细胞材料和计算建模。它还为胚盘胚胎提供了一个协调框架，这将使转录控制网络和形态发生的时空建模越来越准确。
A new spatio-temporal coordinate framework for studying three-dimensional patterns of gene expression in the Drosophila blastoderm is presented that takes account of previously undetected morphological movements. To accurately describe gene expression and computationally model animal transcriptional networks, it is essential to determine the changing locations of cells in developing embryos. Using automated image analysis methods, we provide the first quantitative description of temporal changes in morphology and gene expression at cellular resolution in whole embryos, using the Drosophila blastoderm as a model. Analyses based on both fixed and live embryos reveal complex, previously undetected three-dimensional changes in nuclear density patterns caused by nuclear movements prior to gastrulation. Gene expression patterns move, in part, with these changes in morphology, but additional spatial shifts in expression patterns are also seen, supporting a previously proposed model of pattern dynamics based on the induction and inhibition of gene expression. We show that mutations that disrupt either the anterior/posterior (a/p) or the dorsal/ventral (d/v) transcriptional cascades alter morphology and gene expression along both the a/p and d/v axes in a way suggesting that these two patterning systems interact via both transcriptional and morphological mechanisms. Our work establishes a new strategy for measuring temporal changes in the locations of cells and gene expression patterns that uses fixed cell material and computational modeling. It also provides a coordinate framework for the blastoderm embryo that will allow increasingly accurate spatio-temporal modeling of both the transcriptional control network and morphogenesis.