Dynamic extracellular matrix stiffening induces a phenotypic transformation and a migratory shift in epithelial cells.

IF 1.5 4区 生物学 Q4 CELL BIOLOGY
Shane C Allen, Jessica A Widman, Anisha Datta, Laura J Suggs
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引用次数: 14

Abstract

Soft tissue tumors, including breast cancer, become stiffer throughout disease progression. This increase in stiffness has been shown to correlate to malignant phenotype and epithelial-to-mesenchymal transition (EMT) in vitro. Unlike current models, utilizing static increases in matrix stiffness, our group has previously created a system that allows for dynamic stiffening of an alginate-matrigel composite hydrogel to mirror the native dynamic process. Here, we utilize this system to evaluate the role of matrix stiffness on EMT and metastasis both in vitro and in vivo. Epithelial cells were seen to lose normal morphology and become protrusive and migratory after stiffening. This shift corresponded to a loss of epithelial markers and gain of mesenchymal markers in both the cell clusters and migrated cells. Furthermore, stiffening in a murine model reduced tumor burden and increased migratory behavior prior to tumor formation. Inhibition of FAK and PI3K in vitro abrogated the morphologic and migratory transformation of epithelial cell clusters. This work demonstrates the key role extracellular matrix stiffening has in tumor progression through integrin signaling and, in particular, its ability to drive EMT-related changes and metastasis.

动态细胞外基质硬化诱导上皮细胞的表型转化和迁移。
软组织肿瘤,包括乳腺癌,在疾病进展过程中变得更硬。这种硬度的增加已被证明与体外恶性表型和上皮-间质转化(EMT)相关。与目前的模型不同,我们的团队之前创建了一个系统,允许海藻酸盐-基质复合水凝胶的动态硬化,以反映原生的动态过程。在这里,我们利用这个系统来评估基质刚度在体外和体内EMT和转移中的作用。上皮细胞变硬后失去正常形态,向外突起和迁移。在细胞簇和迁移细胞中,这种转变对应于上皮标记物的丢失和间充质标记物的获得。此外,小鼠模型中的硬化减少了肿瘤负荷,增加了肿瘤形成前的迁移行为。体外抑制FAK和PI3K抑制了上皮细胞簇的形态和迁移转化。这项工作证明了细胞外基质硬化通过整合素信号传导在肿瘤进展中的关键作用,特别是其驱动emt相关变化和转移的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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