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同时定量分析具有不同转移潜能的膀胱癌细胞的杨氏模量和比膜电容。

Simultaneously Quantifying Both Young's Modulus and Specific Membrane Capacitance of Bladder Cancer Cells with Different Metastatic Potential.

作者信息

Liu Na, Leng Mengying, Yue Tao, Dong Liang, Liu Yuanyuan, Peng Yan, Pu Huayan, Xie Shaorong, Luo Jun

机构信息

School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China.

Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China;.

出版信息

Micromachines (Basel). 2020 Feb 27;11(3):249. doi: 10.3390/mi11030249.

Abstract

Both Young's modulus and specific membrane capacitance (SMC) are two important physical parameters for characterizing cell status. In this paper, we utilized a thin-neck-micropipette aspiration system to simultaneously quantify Young's modulus and SMC value of six types of cell lines in different progression grades, which include four grades from the lowest metastatic potential G1 to the highest potential G4. We investigated how these two physical properties possess heterogeneities in bladder cancer cells with different grades and what roles they might play in grading bladder cancer. The characterization results of these cells of different cancer grades is linearly correlated with the cancer grades, showing that the Young's modulus is negatively linearly correlated with bladder cancer grades, while SMC shows a positive linear correlation. Furthermore, the combination of these two physical properties on a scatter diagram clearly shows the cell groups with different cancer grades, which means that this combination could be a potential tumor grading marker to identify cancer cells with different metastatic potential.

摘要

杨氏模量和比膜电容(SMC)都是表征细胞状态的两个重要物理参数。在本文中,我们利用细颈微吸管抽吸系统同时量化了不同进展等级的六种细胞系的杨氏模量和SMC值,其中包括从转移潜能最低的G1到最高的G4这四个等级。我们研究了这两种物理性质在不同等级的膀胱癌细胞中如何具有异质性,以及它们在膀胱癌分级中可能发挥什么作用。这些不同癌症等级细胞的表征结果与癌症等级呈线性相关,表明杨氏模量与膀胱癌等级呈负线性相关,而SMC呈正线性相关。此外,这两种物理性质在散点图上的组合清楚地显示了具有不同癌症等级的细胞群,这意味着这种组合可能是一种潜在的肿瘤分级标志物,用于识别具有不同转移潜能的癌细胞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/514e/7143764/18570b59e74d/micromachines-11-00249-g001.jpg

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