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Quantification of nematic cell polarity in three-dimensional tissues.

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Morales-Navarrete,  Hernán
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Segovia-Miranda,  Fabián
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Nonaka,  Hidenori
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Meyer,  Kirstin
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Kalaidzidis,  Yannis
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Zerial,  Marino
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Jülicher,  Frank
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Citation

Scholich, A., Syga, S., Morales-Navarrete, H., Segovia-Miranda, F., Nonaka, H., Meyer, K., et al. (2020). Quantification of nematic cell polarity in three-dimensional tissues. PLoS computational biology, 16(12): 1008412. doi:10.1371/journal.pcbi.1008412.


Cite as: https://hdl.handle.net/21.11116/0000-0008-A32B-0
Abstract
How epithelial cells coordinate their polarity to form functional tissues is an open question in cell biology. Here, we characterize a unique type of polarity found in liver tissue, nematic cell polarity, which is different from vectorial cell polarity in simple, sheet-like epithelia. We propose a conceptual and algorithmic framework to characterize complex patterns of polarity proteins on the surface of a cell in terms of a multipole expansion. To rigorously quantify previously observed tissue-level patterns of nematic cell polarity (Morales-Navarette et al., eLife 2019), we introduce the concept of co-orientational order parameters, which generalize the known biaxial order parameters of the theory of liquid crystals. Applying these concepts to three-dimensional reconstructions of single cells from high-resolution imaging data of mouse liver tissue, we show that the axes of nematic cell polarity of hepatocytes exhibit local coordination and are aligned with the biaxially anisotropic sinusoidal network for blood transport. Our study characterizes liver tissue as a biological example of a biaxial liquid crystal. The general methodology developed here could be applied to other tissues and in-vitro organoids.