Microrheological comparison of melanoma cells by atomic force microscopy.
Maria Manuela BrásAureliana SousaTânia B da CruzJonas MichalewskiMarina LeiteSusana R SousaPedro L GranjaManfred RadmacherPublished in: Journal of biological physics (2024)
Melanoma is one of the most severe cancers due to its great potential to form metastasis. Recent studies showed the importance of mechanical property assessment in metastasis formation which depends on the cytoskeleton dynamics and cell migration. Although cells are considered purely elastic, they are viscoelastic entities. Microrheology atomic force microscopy (AFM) enables the assessment of elasticity and viscous properties, which are relevant to cell behavior regulation. The current work compares the mechanical properties of human neonatal primary melanocytes (HNPMs) with two melanoma cell lines (WM793B and 1205LU cells), using microrheology AFM. Immunocytochemistry of F-actin filaments and phosphorylated focal adhesion kinase (p-FAK) and cell migration assays were performed to understand the differences found in microrheology AFM regarding the tumor cell lines tested. AFM revealed that HNPMs and tumor cell lines had distinct mechanical properties. HNPMs were softer, less viscous, presenting a higher power-law than melanoma cells. Immunostaining showed that metastatic 1205LU cells expressed more p-FAK than WM793B cells. Melanoma cell migration assays showed that WM73B did not close the gap, in contrast to 1205LU cells, which closed the gap at the end of 23 h. These data seem to corroborate the high migratory behavior of 1205LU cells. Microrheology AFM applied to HNPMs and melanoma cells allowed the quantification of elasticity, viscous properties, glassy phase, and power-law properties, which have an impact in cell migration and metastasis formation. AFM study is important since it can be used as a biomarker of the different stages of the disease in melanoma.
Keyphrases
- cell migration
- atomic force microscopy
- high speed
- induced apoptosis
- cell cycle arrest
- single molecule
- squamous cell carcinoma
- small cell lung cancer
- high throughput
- magnetic resonance imaging
- cell death
- stem cells
- signaling pathway
- pseudomonas aeruginosa
- risk assessment
- oxidative stress
- climate change
- endothelial cells
- machine learning
- cell proliferation
- cell therapy
- pi k akt
- artificial intelligence
- clinical evaluation
- candida albicans
- walled carbon nanotubes