Tissue-dependent mechanosensing by cells derived from human tumors.

npj Biological Physics and Mechanics Pub Date : 2025-01-01 Epub Date: 2025-08-06 DOI:10.1038/s44341-025-00023-5
Kshitiz Parihar, Jonathan Nukpezah, Daniel V Iwamoto, Katrina Cruz, Fitzroy J Byfield, LiKang Chin, Maria E Murray, Melissa G Mendez, Anne S van Oosten, Anne Herrmann, Elisabeth E Charrier, Peter A Galie, Megan Donlick, Tongkeun Lee, Paul A Janmey, Ravi Radhakrishnan
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Abstract

Alterations of the extracellular matrix (ECM), including both mechanical (such as stiffening of the ECM) and chemical (such as variation of adhesion proteins and deposition of hyaluronic acid (HA)) changes, in malignant tissues have been shown to mediate tumor progression. To survey how cells from different tissue types respond to various changes in ECM mechanics and composition, we measured physical characteristics (adherent area, shape, cell stiffness, and cell speed) of 25 cancer and 5 non-tumorigenic cell lines on 7 different substrate conditions. Our results indicate substantial heterogeneity in how cell mechanics changes within and across tissue types in response to mechanosensitive and chemosensitive changes in ECM. The analysis also underscores the role of HA in ECM with some cell lines showing changes in cell mechanics in response to presence of HA in soft substrate that are similar to those observed on stiff substrates. This pan-cancer investigation also highlights the importance of tissue-type and cell line specificity for inferences made based on comparison between physical properties of cancer and normal cells. Lastly, using unsupervised machine learning, we identify phenotypic classes that characterize the physical plasticity, i.e., the distribution of physical feature values attainable, of a particular cell type in response to different ECM-based conditions.

来源于人类肿瘤细胞的组织依赖性机械传感。
在恶性组织中,细胞外基质(ECM)的改变,包括机械的(如ECM硬化)和化学的(如粘附蛋白的变化和透明质酸(HA)的沉积)改变,已被证明可以介导肿瘤的进展。为了研究来自不同组织类型的细胞如何对ECM力学和组成的各种变化做出反应,我们测量了25种癌症和5种非致瘤性细胞系在7种不同底物条件下的物理特性(贴壁面积、形状、细胞刚度和细胞速度)。我们的研究结果表明,细胞力学在响应ECM的机械敏感性和化学敏感性变化时如何在组织类型内和跨组织类型内发生变化具有实质性的异质性。分析还强调了透明质酸在ECM中的作用,一些细胞系在软底物中显示出与在硬底物上观察到的类似的细胞力学变化。这项泛癌症研究还强调了组织类型和细胞系特异性对基于癌症和正常细胞物理特性比较的推论的重要性。最后,使用无监督机器学习,我们确定表征物理可塑性的表型类别,即响应不同基于ecm的条件的特定细胞类型的可实现的物理特征值的分布。
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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