Liquid-crystal organization of liver tissue
ORAL
Abstract
Tissue function requires specific spatial organization of different cell types, yet should be flexible to allow for cell division and growth. Liquid-crystal order can serve this purpose. We computationally reconstructed 3D tissue geometry from microscopy images of mouse liver tissue and analyzed it using concepts from biaxial liquid crystal theory. We show that nematic apical and basal cell polarity axes of hepatocytes (the main cell type in the liver) follow long-range liquid-crystal order. These tissue-level patterns of hepatocyte cell polarity are co-aligned with a structural anisotropy of two transport networks, blood-transporting sinusoids and bile-transporting canaliculi that intertwine the tissue. Silencing communication from hepatocytes to sinusoids via Integrin-β1 knockdown disrupted both liquid-crystal order of hepatocytes and organization of the sinusoidal network, suggesting that bi-directional communication between hepatocytes and sinusoids orchestrates liver tissue architecture. Using a network generation algorithm, we computationally explore the resilience of anisotropic sinusoidal networks to local damage, thus addressing the link between form and function in a complex tissue with liquid-crystal order.
Morales-Navarette et al. eLife (2019) DOI: 10.7554/eLife.44860
Morales-Navarette et al. eLife (2019) DOI: 10.7554/eLife.44860
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Presenters
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Benjamin Friedrich
Tech Univ Dresden
Authors
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Hernan Morales-Navarette
MPI CBG, Dresden
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Hidenori Nonaka
MPI CBG, Dresden
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Andre Scholich
MPI PKS, Dresden
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Fabian Segovia-Miranda
MPI CBG, Dresden
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Walter de Back
Tech Univ Dresden
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Kirstin Meyer
UCSF
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Roman Bogorad
MIT, Cambridge
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Victor Kotelianski
Skoltech
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Lutz Brusch
Tech Univ Dresden
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Yannis Kalaidizidis
MPI CBG, Dresden
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Frank Julicher
Max Planck Institute for Physics of Complex Systems, Max Planck Institute for the Physics of Complex Systems, Max Planck Institute for Physics of Complex Systems, Noethnitzer Strasse 38, 01187 Dresden, Germany, MPI PKS, Dresden
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Benjamin Friedrich
Tech Univ Dresden
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Marino Zerial
MPI CBG, Dresden