Bayesian inference of force dynamics during morphogenesis
Bayesian inference of force dynamics during morphogenesis
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DOI：
10.1016/j.jtbi.2012.08.017
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发表时间：
2012-11-21
影响因子：
2
通讯作者：
Sugimura, Kaoru
中科院分区：
文献类型：
--
作者：
Ishihara, Shuji;Sugimura, Kaoru
在形态发生过程中，细胞相互推拉，以触发组织的精确变形，从而塑造身体。因此，为了理解动物形态的发展，有必要分析机械力如何协调作为组织变形基础的单个细胞的行为。然而，缺乏一种直接和非侵入性的测力方法阻碍了我们识别调控形态发生所需的潜在物理原理的能力。在这项研究中，通过使用贝叶斯统计，我们发展了一个新的反问题框架，以估计每个细胞的压力和每个接触面的张力，从观察到的细胞的几何形状。我们证实，力的真实值和估计值与人工生成的数据集吻合得很好。此外，对果蝇上皮组织中的力的估计与其他通过间接或侵入性方法获得的力的读数是一致的，例如激光诱导破坏皮质肌动蛋白电缆。用这种方法，我们阐明了果蝇背侧胸肌张力模式的发育变化。总而言之，所描述的力估计方法的批量性和非侵入性将使我们能够在前所未有的定量水平上分析形态发生的机械控制。(C)2012爱思唯尔有限公司。保留所有权利。
During morphogenesis, cells push and pull each other to trigger precise deformations of a tissue to shape the body. Therefore, to understand the development of animal forms, it is essential to analyze how mechanical forces coordinate behaviors of individual cells that underlie tissue deformations. However, the lack of a direct and non-invasive force-measurement method has hampered our ability to identify the underlying physical principles required to regulate morphogenesis. In this study, by employing Bayesian statistics, we develop a novel inverse problem framework to estimate the pressure of each cell and the tension of each contact surface from the observed geometry of the cells. We confirmed that the true and estimated values of forces fit well in artificially generated data sets. Moreover, estimates of forces in Drosophila epithelial tissues are consistent with other readouts of forces obtained by indirect or invasive methods such as laser-induced destruction of cortical actin cables. Using the method, we clarify the developmental changes in the patterns of tensile force in the Drosophila dorsal thorax. In summary, the batch and noninvasive nature of the described force-estimation method will enable us to analyze the mechanical control of morphogenesis at an unprecedented quantitative level. (C) 2012 Elsevier Ltd. All rights reserved.