In Vitro Study of Calcium Microsecond Electroporation of Prostate Adenocarcinoma Cells.
Aleksander KiełbikWojciech SzlasaOlga MichelAnna SzewczykMounir TarekJolanta SaczkoJulita KulbackaPublished in: Molecules (Basel, Switzerland) (2020)
Electroporation, applied as a non-thermal ablation method has proven to be effective for focal prostate treatment. In this study, we performed pre-clinical research, which aims at exploring the specific impact of this so-called calcium electroporation on prostate cancer. First, in an in-vitro study of DU 145 cell lines, microsecond electroporation (μsEP) parameters were optimized. We determined hence the voltage that provides both high permeability and viability of these prostate cancer cells. Subsequently, we compared the effect of μsEP on cells' viability with and without calcium administration. For high-voltage pulses, the cell death's mechanism was evaluated using flow-cytometry and confocal laser microscopy. For lower-voltage pulses, the influence of electroporation on prostate cancer cell mobility was studied using scratch assays. Additionally, we applied calcium-binding fluorescence dye (Fluo-8) to observe the calcium uptake dynamic with the fluorescence microscopy. Moreover, the molecular dynamics simulation visualized the process of calcium ions inflow during μsEP. According to our results calcium electroporation significantly decreases the cells viability by promoting apoptosis. Furthermore, our data shows that the application of pulsed electric fields disassembles the actin cytoskeleton and influences the prostate cancer cells' mobility.
Keyphrases
- prostate cancer
- cell cycle arrest
- cell death
- induced apoptosis
- molecular dynamics simulations
- single molecule
- endoplasmic reticulum stress
- flow cytometry
- oxidative stress
- radical prostatectomy
- optical coherence tomography
- high throughput
- squamous cell carcinoma
- high speed
- benign prostatic hyperplasia
- pi k akt
- machine learning
- molecular docking
- atrial fibrillation
- radiation therapy
- mass spectrometry
- binding protein
- big data