Epithelia are multiscale active liquid crystals

TL;DR

This study demonstrates that epithelial tissues exhibit both nematic and hexatic liquid crystal order at different length scales, clarifying their roles in collective cell behavior and tissue organization.

Contribution

It provides the first combined experimental, computational, and analytical evidence that epithelial layers display scale-dependent nematic and hexatic liquid crystal order.

Findings

Nematic order dominates at large scales.

Hexatic order is prominent at small scales.

Order crossover occurs around ten cell sizes.

Abstract

Biological processes such as embryogenesis, wound healing and cancer progression, crucially rely on the ability of epithelial cells to coordinate their mechanical activity over length scales order of magnitudes larger than the typical cellular size. While regulated by various signalling pathways, it has recently become evident that this behavior can additionally hinge on a minimal toolkit of physical mechanisms, of which liquid crystal order is the most prominent example. Yet, experimental and theoretical studies have given so far inconsistent results in this respect: whereas nematic order is often invoked in the interpretation of experimental data, computational models have instead suggested that hexatic order could serve as a linchpin for collective migration in confluent cell layers. In this article we resolve this dilemma. Using a combination of in vitro experiments on Madin-Darby canine kidney cells (MDCK), numerical simulations and analytical work, we demonstrate that both nematic and hexatic order are, in fact, present in epithelial layers, with the former being dominant at large length scales and the latter at small length scales. In MDCK GII cells on uncoated glass, these different types of liquid crystal order crossover at a length scale of the order of ten cell sizes. Our work sheds light on the emergent organization of living matter, provides a new framework for deciphering the structure of epithelia, and paves the way toward a comprehensive and predictive mesoscopic theory of tissues.