Morphological entropy encodes cellular migration strategies on multiple length scales.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY NPJ Systems Biology and Applications Pub Date : 2024-03-07 DOI:10.1038/s41540-024-00353-5
Yanping Liu, Yang Jiao, Qihui Fan, Xinwei Li, Zhichao Liu, Dui Qin, Jun Hu, Liyu Liu, Jianwei Shuai, Zhangyong Li
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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 powerful 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.

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形态熵编码多种长度尺度上的细胞迁移策略
细胞迁移对许多生理和病理过程至关重要。细胞会根据复杂微环境中的各种线索(如迁移过程中的拓扑和趋化作用)调整其形态,包括整体形态和核形态。因此,细胞形态的动态变化可以编码迁移策略,并从中推断出不同的迁移机制。然而,破译形态动态编码的细胞迁移背后的机制仍然是一个具有挑战性的问题。在这里,我们提出了一个强大的通用指标--细胞形态熵(Cell Morphological Entropy,CME),它是通过将参数形态分析与香农熵相结合而开发出来的。CME 通过偏离完美的圆形,在多个长度尺度上精确量化了复杂的细胞形态,我们使用不同体外微环境中的各种正常细胞系和肿瘤细胞系来说明 CME 的实用性。我们的研究结果表明了几何约束如何影响 MDA-MB-231 细胞核、MCF-10A 细胞在胶原凝胶上迁移时出现的相互作用以及肿瘤球体从增殖到侵袭的关键过渡。分析表明,基于 CME 的方法为实时测量多个长度尺度的形态提供了有效的、物理上可解释的工具。它为细胞迁移提供了更深入的见解,有助于了解更复杂微环境中的不同行为模式和细胞集体运动。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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