Mechanical Properties of Colorectal Cancer Cells Determined by Dynamic Atomic Force Microscopy: A Novel Biomarker.
Maria Manuela BrásTânia B CruzAndré Filipe MaiaMaria José OliveiraSusana R SousaPedro L GranjaManfred RadmacherPublished in: Cancers (2022)
Colorectal cancer (CRC) has been addressed in the framework of molecular, cellular biology, and biochemical traits. A new approach to studying CRC is focused on the relationship between biochemical pathways and biophysical cues, which may contribute to disease understanding and therapy development. Herein, we investigated the mechanical properties of CRC cells, namely, HCT116, HCT15, and SW620, using static and dynamic methodologies by atomic force microscopy (AFM). The static method quantifies Young's modulus; the dynamic method allows the determination of elasticity, viscosity, and fluidity. AFM results were correlated with confocal laser scanning microscopy and cell migration assay data. The SW620 metastatic cells presented the highest Young's and storage moduli, with a defined cortical actin ring with distributed F-actin filaments, scarce vinculin expression, abundant total focal adhesions (FAK), and no filopodia formation, which could explain the lessened migratory behavior. In contrast, HCT15 cells presented lower Young's and storage moduli, high cortical tubulin, less cortical F-actin and less FAK, and more filopodia formation, probably explaining the higher migratory behavior. HCT116 cells presented Young's and storage moduli values in between the other cell lines, high cortical F-actin expression, intermediate levels of total FAK, and abundant filopodia formation, possibly explaining the highest migratory behavior.
Keyphrases
- atomic force microscopy
- cell cycle arrest
- cell migration
- high speed
- induced apoptosis
- cell death
- single molecule
- pi k akt
- squamous cell carcinoma
- signaling pathway
- oxidative stress
- high throughput
- high resolution
- middle aged
- magnetic resonance
- gene expression
- machine learning
- magnetic resonance imaging
- mass spectrometry
- single cell
- cell proliferation
- deep learning
- tandem mass spectrometry
- molecularly imprinted
- genome wide