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系统地量化形态特征揭示了类器官表型的限制。

Systematically quantifying morphological features reveals constraints on organoid phenotypes.

机构信息

Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.

Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Cell Syst. 2022 Jul 20;13(7):547-560.e3. doi: 10.1016/j.cels.2022.05.008. Epub 2022 Jun 14.

Abstract

Organoids recapitulate complex 3D organ structures and represent a unique opportunity to probe the principles of self-organization. While we can alter an organoid's morphology by manipulating the culture conditions, the morphology of an organoid often resembles that of its original organ, suggesting that organoid morphologies are governed by a set of tissue-specific constraints. Here, we establish a framework to identify constraints on an organoid's morphological features by quantifying them from microscopy images of organoids exposed to a range of perturbations. We apply this framework to Madin-Darby canine kidney cysts and show that they obey a number of constraints taking the form of scaling relationships or caps on certain parameters. For example, we found that the number, but not size, of cells increases with increasing cyst size. We also find that these constraints vary with cyst age and can be altered by varying the culture conditions. We observed similar sets of constraints in intestinal organoids. This quantitative framework for identifying constraints on organoid morphologies may inform future efforts to engineer organoids.

摘要

类器官重现了复杂的 3D 器官结构,代表了探究自组织原理的独特机会。虽然我们可以通过操纵培养条件来改变类器官的形态,但类器官的形态通常与其原始器官相似,这表明类器官的形态由一组组织特异性限制决定。在这里,我们通过从暴露于一系列扰动的类器官的显微镜图像中定量它们,建立了一个识别类器官形态特征限制的框架。我们将该框架应用于马-达二氏犬肾囊肿,并表明它们遵守了一些限制,这些限制采用缩放关系或某些参数上限的形式。例如,我们发现细胞的数量而不是大小随着囊肿的增大而增加。我们还发现这些限制随囊肿年龄而变化,并可通过改变培养条件来改变。我们在肠类器官中也观察到了类似的限制。这种用于确定类器官形态限制的定量框架可能为未来设计类器官的工作提供信息。

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