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拉伸诱导乳腺癌细胞中 RhoA 和 Rac1 GTPases 的过度表达。

Stretching Induces Overexpression of RhoA and Rac1 GTPases in Breast Cancer Cells.

机构信息

Queensland Micro- and Nanotechnology Centre, Nathan Campus, Griffith University, 170 Kessels Road, Brisbane, QLD, 4111, Australia.

Menzies Health Institute Queensland, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia.

出版信息

Adv Biosyst. 2020 Feb;4(2):e1900222. doi: 10.1002/adbi.201900222. Epub 2019 Dec 5.

Abstract

Rho GTPases are well known for regulating cell morphology and intracellular interactions. They can either be oncogenic or tumor suppressors. However, these proteins are associated with the acquirement of malignant features by cancer cells. It has been reported that the overexpression of protein markers of Rho family members such as RhoA and Rac1 is linked with carcinogenesis and the progression of a variety of human tumors. In this paper, the expression of RhoA and Rac1 activity in various types of breast cancers cell lines is evaluated. These cells are preconditioned by mechanically stretching them to simulate the extracellular physical forces placed upon on cancer cells. It is observed that stretching the cancer cells induces significantly higher expression of RhoA and Rac1 markers when compared to non-stretched cells and stretched control cells in vitro. This stretching strategy helps to detect and quantify the signal when it is too weak to be detected. Furthermore, stretching enhances the assay by leading to overexpression of markers and makes the assay more sensitive. It is hypothesized that this inexpensive and relatively sensitive assay can potentially aid in the development of a diagnostic tool for cancer screening.

摘要

Rho GTPases 以调节细胞形态和细胞内相互作用而闻名。它们可以是致癌的,也可以是肿瘤抑制因子。然而,这些蛋白质与癌细胞获得恶性特征有关。据报道,Rho 家族成员如 RhoA 和 Rac1 的蛋白标志物的过表达与癌发生和多种人类肿瘤的进展有关。在本文中,评估了各种类型乳腺癌细胞系中 RhoA 和 Rac1 活性的表达。通过机械拉伸这些细胞来模拟施加在癌细胞上的细胞外物理力,对这些细胞进行预处理。结果表明,与体外未拉伸细胞和拉伸对照细胞相比,拉伸癌细胞诱导 RhoA 和 Rac1 标志物的表达显著增加。这种拉伸策略有助于检测和量化太弱而无法检测到的信号。此外,拉伸通过导致标志物的过表达而增强测定,使测定更敏感。据推测,这种廉价且相对敏感的测定方法可能有助于开发癌症筛查的诊断工具。

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