| Literature DB >> 30532628 |
Aws Alshamsan1,2.
Abstract
STAT3 knockdown by small interfering RNA (siRNA) has been described to inhibit carcinogenic growth in various types of tumors. Earlier we have reported delivery of siRNA by oleic acid- and stearic acid-modified-polyethylenimine and enhancement of silencing of STAT3 by small interfering RNA (siRNA) in B16.F10 melanoma cell lines and consequent tumor suppression. Present investigation mainly focused on the downstream events involved in B16.F10 melanoma cell death and consequent tumor suppression following knockdown of p-STAT3 by siRNA. Lipid-substituted polyethylenimine (PEI)-p-STAT3-siRNA were prepared and characterized by measuring its N/P ratio, zeta potential, size, association and dissociation with siRNA. B16.F10 melanoma cells were treated with six different concentrations of PEI-p-STAT3-siRNA (200, 100, 50, 25, 12.5 and 6.25 nM). Downregulation of p-STAT3 and VEGF were studied using western blot and ELISA in association with the melanoma cell death. PEI-p-STAT3-siRNA hydrodynamic diameter ranged from 110 to 270 nm. PEI assisted p-STAT3-siRNA delivery exhibited increased uptake by B16.F10, when analyzed by fluorescent and confocal microscopy along with flowcytometry. It induced concentration-dependent knockdown of the p-STAT3 that also downregulated VEGF expression in similar fashion and induced B16.F10 cell death. Higher concentrations of p-STAT3-siRNA appear to significantly downregulate the VEGF expression via p-STAT3 knockdown. Decreasing survival of B16.F10 cells with the increasing concentration of p-STAT3-siRNA significantly correlated with VEGF downregulation, not with p-STAT3 expression. Data suggest that VEGF downregulation following knockdown of p-STAT3 may be a key event in survival reduction in B16.F10 melanoma cells and.Entities:
Keywords: RNA silencing; Tumor suppression; VEGF; p-STAT3; siRNA
Year: 2018 PMID: 30532628 PMCID: PMC6260487 DOI: 10.1016/j.jsps.2018.05.018
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.562
Fig. 1siRNA polyplexes made by addition of PEI solution into siRNA solution in RNAse free water in different polymer to siRNA (N/P) ratios ranging from 0.125 to 1.25. The polyplexes were characterized by measuring average particle size and zeta-potential using Zetasizer Nano ZS (Malvern, UK). siRNA binding to PEI and dissociation was evaluated by agarose gel electrophoresis. (a) Increase in Zeta-potential of the particles remained proportional until N/P ratio reached 1.0. (b). Association % of siRNA with PEI increased upto an N/P ratio 0f 0.75. (c) Particle hydrodynamic diameter ranged from 110 to 270 nm with average diameter of 172 nm. (d) Anionic competition test using heparin exhibit dissociation of siRNA increased with increasing heparin concentration.
Fig. 2FITC tagged PEI NPs were added to the B16.F10 melanoma cell cultures to investigate the uptake of the NPs. (a) Fluorescent micrograph revealed a significant uptake of PEI NPs after 30 min of addition. (b) Flowcytometry analysis confirmed the uptake of FITC tagged PEI NPs into B16.F10 melanoma cells.
Fig. 3(a) Western blot analysis reveal a concentration dependent knockdown of p-STAT3 in B16.F10 melanoma cells by PEI-p-STAT3-siRNA. (b) VEGF expression levels were not found to be correlated with that of p-STAT3 after addition of PEI-p-STAT3-siRNA. ELISA of VEGF indicate that the highest concentration of the STAT3-siRNA is needed to induce a significant downregulation of VEGF. (c) STAT3-siRNA induced cell death in B16.F10 melanoma cells was found to be concentration dependent. (d) Statistical analysis of the data found that the cell death is correlated more with VEGF levels than that of p-STAT3 after STAT3-siRNA administration.
Summary of Linear Regression analysis and R2 values from different experiments including Western blot analysis of STAT3 expression, ELISA of VEGF protein and cell viability assay.
| Outcome | Equation | R2 |
|---|---|---|
| STAT3 expression | y = −0.3952x + 98.479 | 0.8502 |
| VEGF inhibition | y = −0.1203x + 100.87 | 0.9304 |
| Cell viability | y = −0.1417x + 94.715 | 0.8428 |