Morphological Entropy Encodes Cellular Migration Strategies on Multiple Length Scales

Author:

Liu Yanping1ORCID,Jiao Yang2,Fan Qihui3,Li Xinwei1,Liu Zhichao1,Hu Jun4,Liu Liyu5,Shuai Jianwei6ORCID,Li Zhangyong1

Affiliation:

1. Chongqing University of Posts and Telecommunications

2. Arizona State University

3. Chinese Academy of Sciences

4. Army Medical University

5. Chongqing University

6. Xiamen University

Abstract

Abstract Cell migration is crucial for numerous physiological and pathological processes. A cell adapts its morphology, including the overall and nuclear morphology, in response to various cues in complex microenvironments, such as topotaxis and chemotaxis during migration. Thus, the dynamics of cellular morphology can encode migration strategies, from which diverse migration mechanisms can be inferred. However, deciphering the mechanisms behind cell migration encoded in morphology dynamics remains a challenging problem. Here, we present a novel universal metric, the Cell Morphological Entropy (CME), developed by combining parametric morphological analysis with Shannon entropy. The utility of CME, which accurately quantifies the complex cellular morphology at multiple length scales through the deviation from a perfectly circular shape, is illustrated using a variety of normal and tumor cell lines in different in vitro microenvironments. Our results show how geometric constraints affect the MDA-MB-231 cell nucleus, the emerging interactions of MCF-10A cells migrating on collagen gel, and the critical transition from proliferation to invasion in tumor spheroids. The analysis demonstrates that the CME-based approach provides an effective and physically interpretable tool to measure morphology in real time across multiple length scales. It provides deeper insight into cell migration and contributes to the understanding of different behavioral modes and collective cell motility in more complex microenvironments.

Publisher

Research Square Platform LLC

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