孔力学
细胞质
癌细胞
材料科学
膜
生物物理学
弹性模量
病理
化学
癌症
细胞生物学
医学
生物
多孔介质
生物化学
复合材料
多孔性
内科学
作者
Keli Ren,Jiantao Feng,Hai Bi,Quanmei Sun,Xiang Li,Dong Han
出处
期刊:Small
[Wiley]
日期:2023-07-04
卷期号:19 (44)
被引量:4
标识
DOI:10.1002/smll.202303610
摘要
Abstract Cell mechanics is an emerging field of research for translational medicine. Here, the cell is modeled as poroelastic cytoplasm wrapped by tensile membrane (poroelastic@membrane model) and is characterized by the atomic force microscopy (AFM). The parameters of cytoskeleton network modulus E C , cytoplasmic apparent viscosity η C , and cytoplasmic diffusion coefficient D C are used to describe the mechanical behavior of cytoplasm, and membrane tension γ is used to evaluate the cell membrane. Poroelastic@membrane analysis of breast cells and urothelial cells show that non‐cancer cells and cancer cells have different distribution regions and distribution trends in the four‐dimensional space composed of E C , η C . From non‐cancer to cancer cells, there is often a trend of γ , E C , η C decreases and D C increases. Patients with urothelial carcinoma at different malignant stages can be distinguished at high sensitivity and specificity by analyzing the urothelial cells from tissue or urine. However, sampling directly from tumor tissues is an invasive method, may lead to undesirable consequences. Thus, AFM‐based poroelastic@membrane analysis of urothelial cells from urine may provide a non‐invasive and no‐bio‐label method to detecting urothelial carcinoma.
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