ABSTRACT
Owing to messenger RNA's unique biological advantages, it has received increasing attention to be used as a therapeutic, known as mRNA-based gene therapy. It is critical to have an ideal strategy of mRNA gene therapy for glioma, which grows in a special environment. In the present study, we screened out a safe and efficient transfection reagent for intracranial delivery of synthetic mRNA in mouse brain. First, in order to analyze the effect of different transfection reagents on the intracranial delivery of mRNA, the synthetic luciferase mRNA was wrapped with two different transfection reagents and microinjected into the brain at the fixed point. The expression status of delivered mRNA was monitored by a small animal imaging system. The possible reagent-induced biological toxicity was evaluated by behavioral and blood biochemical measurements. Then, to test the therapeutic effect of our intracranial delivery mRNA model on glioma, synthetic modified tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) mRNA was used as an example of therapeutic application. This model demonstrated that synthetic mRNA could be successfully delivered into the brain using commercially available transfection reagents, and TransIT-mRNA showed better results than in vivo-jetPEI kit. This model can be applied in precise targeting and personalized gene therapy of glioma.
ABSTRACT
Glioma is the most common primary brain tumor in adults with an adverse prognosis and obscure pathogenesis. PICALM interacting mitotic regulator protein (PIMREG) functions as an oncogene in multiple types of cancer, but its function in glioma remains unknown. The Gene Expression Profiling Interactive Analysis 2 (GEPIA2, http://gepia2.cancer-pku.cn/#index) showed that PIMREG expression in the glioma tissues was higher than that in normal brain tissues. Herein, cell counting kit-8 assay and flow cytometry analysis exhibited that overexpression of PIMREG significantly promoted the proliferation of glioma cells and the transition from G1 phase of the cell cycle to S phase. Wound-healing and transwell assays showed that overexpression of PIMREG markedly enhanced the migration and invasion of glioma cells. Western blot analysis revealed that overexpression of PIMREG increased the expression of cyclin D1, cyclin E, Vimentin, matrix metalloproteinase (MMP)-2, and MMP-9, but reduced the expression of E-cadherin. In addition, overexpression of PIMREG activated the ß-catenin signaling pathway, as evidenced by the increased total and nuclear expression of ß-catenin and the up-regulated expression of its downstream target c-myc. Furthermore, immunofluorescence staining further indicated the increased nuclear translocation of ß-catenin in PIMREG-overexpressing cells. However, knockdown of PIMREG exerted opposite effects on glioma cells. Blockade of the ß-catenin signaling by ICG-001 markedly impeded the promoting effects of PIMREG on glioma cell proliferation and invasion. In conclusion, PIMREG acts as a tumor promoter in glioma at least partly via activating the ß-catenin signaling pathway. This study provides new insights into the molecular mechanism for glioma pathogenesis and treatment.
ABSTRACT
Belt magnetorheological finishing (Belt-MRF) is a promising tool for large-optics processing. However, before using a spot, its shape should be designed and controlled by the polishing gap. Previous research revealed a remarkably nonlinear relationship between the removal function and normal pressure distribution. The pressure is nonlinearly related to the gap geometry, precluding prediction of the removal function given the polishing gap. Here, we used the concepts of gap slope and virtual ribbon to develop a model of removal profiles in Belt-MRF. Between the belt and the workpiece in the main polishing area, a gap which changes linearly along the flow direction was created using a flat-bottom magnet box. The pressure distribution and removal function were calculated. Simulations were consistent with experiments. Different removal functions, consistent with theoretical calculations, were obtained by adjusting the gap slope. This approach allows to predict removal functions in Belt-MRF.
