Purpose
This research concentrated on the biological effects and special mechanism of circ_0003221 in bladder cancer (BLCA).
Materials and Methods
The level quantification by reverse transcription-quantitative polymerase chain reaction was administrated for circ_0003221, microRNA-892b (miR-892b) and 24-dehydrocholesterol reductase (DHCR24). The biological behaviors were assessed by EDU assay and colony formation assay for proliferation, and transwell assay for cell motility. Glycolytic metabolism was tested using the commercial kits. DHCR24 protein level and cell markers were measured through western blot. The analysis of interaction potential was conducted via dual-luciferase reporter assay and pull-down assay. Circ_0003221 was implemented via tumor xenograft assay
in vivo
.
Results
Abnormal circ_0003221 upregulation was affirmed in BLCA. BLCA cell proliferation, motility and glycolysis were impeded after circ_0003221 level was knocked down. MiR-892b was identified as a target for circ_0003221. Reduction of miR-892b relieved si-circ_0003221-induced anti-tumor response in BLCA cells. In addition, miR-892b targeted DHCR24 and circ_0003221/miR-892b could regulate the level of DHCR24. The effects of si-circ_0003221 were also counteracted by DHCR24 overexpression.
Conclusions
The current evidence elucidated circ_0003221 targeted miR-892b to elevate the DHCR24 level, thus accelerating cell development and glycolytic metabolism of BLCA cells.
This paper presents a seismic reflection wave imaging system that uses virtual instrumentation technology to process seismic wave data. The system employs a modular approach to image reflection waves in a medium velocity hierarchy. The study investigates the time and frequency domain characteristics of seismic sub-waves transmitted in the reflection system and establishes and simulates the propagation model of seismic reflection waves in horizontally stratified media. Algorithms are proposed for implementing the overall system, including amplitude compensation, digital filtering, velocity analysis, and offset imaging. The effectiveness of 2D FK filtering in the filtering process is tested, which confirms its ability to filter out velocity domain interference waves. The hardware and software development solutions for the overall system are developed based on the architecture of virtual instrumentation technology. Seismic reflection wave imaging experiments are conducted in several scenarios, and the experimental results meet the application requirements. The experiments demonstrate that the system can accurately image the velocity of subsurface media using seismic reflection waves and virtual instrumentation hardware and software systems.
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