分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Cell Phenotype Phase Separation in Epithelial-Mesenchymal Transition-Mediated Collective Cell Migration

Weihao Sun, Rui Xue, Ruiyang Pang, Xiaocen Duan, Hongwei Xu, Chunyang Xiong, Jianyong Huang

Journal:Acta Biomaterialia

IF:10.4

DOI:10.1016/j.actbio.2026.07.029

PMID:42463070

Published:2026-07-16

research field:肿瘤微环境肿瘤免疫学免疫治疗 biomedical研究分子肿瘤学信号转导

Abstract

Collective cell migration plays a critically regulatory role in both physiological and pathological processes, e.g. , embryonic development, wound healing, cancer progression and metastasis. Nevertheless, spatiotemporal progression of epithelial and mesenchymal cell migration remains poorly understood. Here, we report an epithelial-mesenchymal transition (EMT)-modulated cell phenotype phase separation (CPPS) within spatially confined microenvironments, where the mesenchymal cells display enhanced boundary-directed colonization in a phenotype-dependent manner. Subsequently, we reveal that the CPPS process correlates with the degree of EMT and cytoskeletal inhibition. With the aid of a boundary attraction potential (BAP), we further develop a reaction-diffusion-based model that can quantitatively capture the spatiotemporal evolution of the EMT-related collective migration. Our findings imply that phenotypic heterogeneity among cells is a major determinant of phase separation in collective migration. This work not only uncovers the CPPS phenomenon and its underlying biophysical mechanism in collective cell migration, but also provides a new perspective for dissecting EMT-regulated intratumoral phenotypic heterogeneity. Statement of Significance Collective cell migration drives development, wound healing, and cancer metastasis, yet how phenotypically heterogeneous populations self-organize remains unclear. Using micropatterned substrates and live-cell tracking, we report cell phenotype phase separation (CPPS) during epithelial-mesenchymal transition (EMT)-mediated collective migration. Inspired by the classical Turing’s theory, we develop a reaction-diffusion model with a boundary attraction potential that recapitulates the spatiotemporal dynamics of CPPS across micropattern geometries, substrate stiffnesses, and cell compositions. Our findings not only reveal a comprehensive biophysical mechanism linking EMT status to collective migration, which is crucial for dissec

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