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LiSyM-Krebs

LiSyM-Krebs ist ein nationales Forschungsnetz zur Früherkennung und Prävention von Leberkrebs, das unter Verwendung des systemmedizinischen Forschungsansatzes die komplexen, dynamischen Prozesse der Krankheitsprogression analysiert, um ausgehend von den Erkenntnissen aus dem Forschungsnetz LiSyM die Entstehung von Leberkrebs besser zu verstehen, vorherzusagen und im besten Fall sogar zu verhindern.

Web page: Not specified

Funding details:
No funding details specified

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LiSyM-Krebs

LiSyM-Krebs

Programme: LiSyM-Krebs

Public web page: Not specified

LiSyM-Krebs Partnering

This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.

Programme: LiSyM-Krebs

Public web page: https://www.ptj.de/projektfoerderung/gesundheitsforschung/lisym-krebs

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Meeting minutes
LiSyM-Krebs

Documents submitted to BMBF

Person responsible: Olga Krebs

Snapshots: No snapshots

Documents submitted to BMBF
LiSyM-Krebs

Documents submitted to BMBF

Person responsible: Olga Krebs

Snapshots: No snapshots

Project deliverables 2022
LiSyM-Krebs

Project deliverables 2022

Submitter: Olga Krebs

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

Project deliverables 2021
LiSyM-Krebs

Project deliverables 2021

Submitter: Olga Krebs

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

Meeting minutes 2022
LiSyM-Krebs

Meeting minutes 2022

Submitter: Olga Krebs

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

Meeting minutes 2021
LiSyM-Krebs

Meeting minutes 2021

Submitter: Olga Krebs

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

Project proposals
LiSyM-Krebs

Project proposals

Submitter: Olga Krebs

Biological problem addressed: Model Analysis Type

Snapshots: No snapshots

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Quantification of nematic cell polarity in three-dimensional tissues.
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM-Krebs Partnering

Abstract (Expand)

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-Navarrete 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.

Authors: A. Scholich, S. Syga, H. Morales-Navarrete, F. Segovia-Miranda, H. Nonaka, K. Meyer, W. de Back, L. Brusch, Y. Kalaidzidis, M. Zerial, F. Julicher, B. M. Friedrich

Date Published: 11th Dec 2020

Publication Type: Journal

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Systems Biology of Mammalian Cells 2020 (SBMC) - postponed to May 2021

SBMC 2020 was postponed to 10th - 12th of May 2021. Further information will follow soon.

Start Date: 10th May 2021

End Date: 12th May 2021

Event Website: https://sbmc2020.bioquant.uni-heidelberg.de

Country:  Germany

City: Heidelberg

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