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Study of NSCLC cell migration promoted by NSCLC-derived extracellular vesicle using atomic force microscopy
- Source :
- Analytical methods : advancing methods and applications. 13(12)
- Publication Year :
- 2021
-
Abstract
- Extracellular vesicles (EVs) secreted by cancer cells play a key role in the cancer microenvironment and progression. Previous studies have mainly focused on molecular functions, cellular components and biological processes using chemical and biological methods. However, whether the mechanical properties of cancer cells change due to EVs remains poorly understood. This work studies the effects of mechanical changes in non-small cell lung cancer (NSCLC) cells after treatment with EVs on migration by atomic force microscopy (AFM). Different concentrations of EVs were added into the experimental groups based on co-culture experiments, while the control group was cultured without EVs for 48 h. Cellular migration was evaluated by wound healing experiments. The cellular morphology, cell stiffness and surface adhesion were investigated by AFM. Cytoskeleton changes were detected by fluorescence staining assay. By comparison to the control group, the cell migration was enhanced. After treatment with EVs, the cell length and height show an upward trend, and the adhesion force and Young's modulus show a downward trend, and filopodia were also detected in the cells. Overall, the EVs promoted the migration of NSCLC cells by regulating cells' physical properties and skeletal rearrangement.
- Subjects :
- 0301 basic medicine
Lung Neoplasms
General Chemical Engineering
Cell
Microscopy, Atomic Force
Analytical Chemistry
03 medical and health sciences
Extracellular Vesicles
0302 clinical medicine
Cell Movement
Carcinoma, Non-Small-Cell Lung
medicine
Tumor Microenvironment
Humans
Cytoskeleton
Chemistry
General Engineering
Cell migration
Adhesion
Extracellular vesicle
Cell biology
030104 developmental biology
medicine.anatomical_structure
030220 oncology & carcinogenesis
Cancer cell
Wound healing
Filopodia
Subjects
Details
- ISSN :
- 17599679
- Volume :
- 13
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Analytical methods : advancing methods and applications
- Accession number :
- edsair.doi.dedup.....439b27229877039a7bf87f89dbd7a397