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原子力显微镜作为一种评估细胞弹性和黏附性的工具,可用于识别癌细胞和组织。

Atomic force microscopy as a tool for assessing the cellular elasticity and adhesiveness to identify cancer cells and tissues.

机构信息

Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Krakow, Poland.

Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Krakow, Poland.

出版信息

Semin Cell Dev Biol. 2018 Jan;73:115-124. doi: 10.1016/j.semcdb.2017.06.029. Epub 2017 Jul 8.

Abstract

From the first experiments of the atomic force microscopy (AFM) with biological samples, the range of its potential applications grows extensively. One of them is the use of AFM to characterize biophysical fingerprints of cancer progression in search of non-labelled biomarkers of the disease. The technique offers various functionalities, starting from surface imaging to detection of interaction forces, delivering quantitative parameters that can describe changes characteristic for various diseases, including cancer. In this review, the special emphasis was laid on these studies that compare the AFM-derived properties of reference and cancerous cells using all functionalities from cellular deformability measurements to quantification of the interaction forces at the single-molecule and single-cell levels. Despite the large effort and evidence of the microscope applicability to detect pathologically altered cells, there are still practical challenges remained to be solved before AFM can be implemented for routine cancer tracking and diagnosis. To-date, the AFM can be used to achieve a better understanding of cancer-related processes and mechanisms that could be further employed to design high-resolution clinical assays in a quantitative way.

摘要

从原子力显微镜(AFM)与生物样本的首次实验开始,其潜在应用范围就广泛扩展。其中之一是利用 AFM 来描绘癌症进展的生物物理指纹,以寻找该疾病的无标记生物标志物。该技术提供了各种功能,从表面成像到检测相互作用力,提供可以描述各种疾病(包括癌症)特征变化的定量参数。在这篇综述中,特别强调了这些研究,它们使用从细胞可变形性测量到单分子和单细胞水平的相互作用力定量的所有功能,比较了参考细胞和癌细胞的 AFM 衍生特性。尽管已经付出了巨大的努力并证明了显微镜适用于检测病理性改变的细胞,但在 AFM 能够用于常规癌症跟踪和诊断之前,仍有一些实际挑战需要解决。迄今为止,AFM 可用于更好地了解与癌症相关的过程和机制,这些过程和机制可进一步用于以定量方式设计高分辨率的临床检测。

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