The origin of universal cell shape variability in a confluent epithelial monolayer
Souvik Sadhukhan, Saroj Kumar Nandi

TL;DR
This paper develops a mean-field analytical theory explaining the universal distribution of cell shape variability in epithelial monolayers, linking it to a single parameter and verifying it through simulations and experiments.
Contribution
The study introduces a novel theoretical framework that captures the universal cell shape variability in epithelial monolayers using a single parameter, validated by simulations and experiments.
Findings
A single parameter $oldsymbol{ extalpha}$ describes the shape variability distribution.
The shape variability follows a nearly universal distribution unrelated to jamming.
The theory links shape variability to physical conditions like maturation.
Abstract
Cell shape is fundamental in biology. The average cell shape can influence crucial biological functions, such as cell fate and division orientation. But cell-to-cell shape variability is often regarded as noise. In contrast, recent works reveal that shape variability in diverse epithelial monolayers follows a nearly universal distribution. However, the origin and implications of this universality are unclear. Here, assuming contractility and adhesion are crucial for cell shape, characterized via aspect ratio (AR), we develop a mean-field analytical theory for shape variability. We find that a single parameter, , containing all the system-specific details, describes the probability distribution function (PDF) of AR; this leads to a universal relation between the standard deviation and the average of AR. The PDF for the scaled AR is not strictly but almost universal. The…
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Taxonomy
TopicsCellular Mechanics and Interactions · Mathematical Biology Tumor Growth · Morphological variations and asymmetry
