叶片形态发生过程中三维细胞参数的时空图谱

F. Selka, T. Blein, J. Burguet, E. Biot, P. Laufs, P. Andrey
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引用次数: 4

摘要

形态发生是一个复杂的过程,整合了从分子到器官尺度的多种机制。在植物中,分裂和生长是驱动形态发生的两个基本细胞机制。然而,人们对这些机制如何协调建立功能性组织结构知之甚少。一个基本的瓶颈是目前缺乏技术来系统地量化三维细胞形态在器官生长过程中的时空演变。利用叶片发育作为一个相关且具有挑战性的模型来研究形态发生,我们开发了一个计算框架,用于从3D图像中进行细胞分析和量化,并用于生成3D细胞形状图谱。由于叶片形态发生的显著特征是层状结构的形成,我们提出了采用聚类算法自动分离叶片中对应叶侧的细胞。在46个处于早期发育状态的叶片数据集上,实验评估了所提出的管道的性能。
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Towards a Spatio-Temporal Atlas of 3D Cellular Parameters During Leaf Morphogenesis
Morphogenesis is a complex process that integrates several mechanisms from the molecular to the organ scales. In plants, division and growth are the two fundamental cellular mechanisms that drive morphogenesis. However, little is known about how these mechanisms are coordinated to establish functional tissue structure. A fundamental bottleneck is the current lack of techniques to systematically quantify the spatio-temporal evolution of 3D cell morphology during organ growth. Using leaf development as a relevant and challenging model to study morphogenesis, we developed a computational framework for cell analysis and quantification from 3D images and for the generation of 3D cell shape atlas. A remarkable feature of leaf morphogenesis being the formation of a laminar-like structure, we propose to automatically separate the cells corresponding to the leaf sides in the segmented leaves, by applying a clustering algorithm. The performance of the proposed pipeline was experimentally assessed on a dataset of 46 leaves in an early developmental state.
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