Morphological entropy encodes cellular migration strategies on multiple length scales

TL;DR

This paper introduces a universal metric called cell morphological entropy (CME) that quantifies cellular morphology dynamics across multiple length scales, providing insights into migration strategies in various microenvironments.

Contribution

The study presents a novel CME metric combining morphological analysis with Shannon entropy to decode cell migration mechanisms from morphology dynamics.

Findings

CME accurately quantifies cell morphology deviations from circular shape.

CME reveals effects of geometric constraints on nucleus morphology.

CME detects transitions from proliferation to invasion in tumor spheroids.

Abstract

Cell migration is crucial to many physiological and pathological processes. During migration, a cell adapts its morphology, including the overall morphology and nucleus morphology, in response to various cues in complex microenvironments, e.g. topotaxis and chemotaxis. Thus, cellular morphology dynamics can encode migration strategies based on which various migration mechanisms can be inferred. However, how to decipher cell migration mechanisms encoded in the morphology dynamics remains a challenging problem. Here we introduce a novel universal metric, namely cell morphological entropy (CME), by combining parametric morphological analysis with Shannon entropy. The utility of CME, which accurately quantifies the complex cellular morphology on multiple length scales through the deviation from the perfect circular shape, is demonstrated using a variety of normal and tumorous cell lines in distinct in vitro microenvironments. Our results reveal that 1) the effects of geometric constraints on cell nucleus, 2) the emerging interplays of MCF-10A cells migrating on collagen gel, and 3) the critical transition of tumor spheroid from proliferation to invasion. The analysis indicates that the CME offers a physically interpretable and efficient tool to quantify morphology on multiple length scales in real-time, which provides more insights into cell migration, and further contributing to the understanding of the diverse behavioral modes as well as collective cell motility in more complex microenvironment.