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The miR-145-5p/CD36 pathway mediates PCB2-induced apoptosis in MCF-7 cells
Yuan Yuan,Caihua Xue,Qiang Wu,Mengjie Wang,Jiahua Liu,Longfei Zhang,Qianwen Xing,Jingyan Liang,Hua Wu,Zhi Chen 한국유전학회 2021 Genes & Genomics Vol.43 No.2
Background Procyanidin B2 (PCB2) can increase the levels of anti-infammatory and immune mediators. Objectives However, its molecular mechanism in human breast cancer remains unclear. This study aimed to investigate the antitumor efect of PCB2 on MCF-7 cells and to examine the underlying mechanism. Methods The fow cytometry and EdU incorporation assays were measured the PCB2-induced BMECs. The expression levels of infammatory factors and immune response genes were upregulated in MCF-7 cells, high-throughput sequencing was used to detect diferentially expressed genes in blank and PCB2-treated MCF-7 cells. Results The results showed that PCB2 induced the apoptosis of MCF-7 cells. CD36 profles were afected in MCF-7 cells. Additionally, prediction software identifed a miR-145-5p binding site in the CD36 sequence. Luciferase reporter assays and Western blot analysis were used to verify the regulatory relationships between the diferentially expressed miRNA miR145-5p and CD36. MiR-145-5p and its key target (CD36) constitute a potential miRNA-mRNA regulatory pair. Functional studies in MCF-7 cells revealed that CD36 promotes but miR-145-5p inhibits apoptosis. Conclusion Overall, these data suggest that miR-145-5p inhibits the enhancing efect of PCB2 on CD36 expression by binding CD36 and subsequently regulating apoptosis, the immune response and anti-infammatory pathways. These results provide theoretical and experimental support for the treatment of breast cancer.
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닌담솜사우트 ( Somsawut Nindam ),통운문마이 ( Thong-oon Manmai ),숭타이리엥 ( Thaileang Sung ),오가화 ( Jiahua Wu ),이효종 ( Hyo Jong Lee ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.2
This paper studies human activity image classification using deep transfer learning techniques focused on the inception convolutional neural networks (InceptionV3) model. For this, we used UFC-101 public datasets containing a group of students’ behaviors in mathematics classrooms at a school in Thailand. The video dataset contains Play Sitar, Tai Chi, Walking with Dog, and Student Study (our dataset) classes. The experiment was conducted in three phases. First, it extracts an image frame from the video, and a tag is labeled on the frame. Second, it loads the dataset into the inception V3 with transfer learning for image classification of four classes. Lastly, we evaluate the model’s accuracy using precision, recall, F1-Score, and confusion matrix. The outcomes of the classifications for the public and our dataset are 1) Play Sitar (precision = 1.0, recall = 1.0, F1 = 1.0), 2), Tai Chi (precision = 1.0, recall = 1.0, F1 = 1.0), 3) Walking with Dog (precision = 1.0, recall = 1.0, F1 = 1.0), and 4) Student Study (precision = 1.0, recall = 1.0, F1 = 1.0), respectively. The results show that the overall accuracy of the classification rate is 100% which states the model is more powerful for learning UCF-101 and our dataset with higher accuracy.
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Jiqing Chen,Chaoyang Zhao,Qingsong Tang,Xu Liu,Zhikui Wang,Chengzhi Tan,Jiahua Wu,Teng Long 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2
The improvement of the performance of the multi-joint manipulator control system is of great significance to improve the level of industrial automation. The existing sliding mode control methods are difficult to ensure the high-precision and fast-tracking of joints of a manipulator to the desired trajectory under low chattering control input. Therefore, a non-singular fast terminal sliding mode control method based on a nonlinear disturbance observer is proposed. In addition, a new non-singular fast terminal sliding mode surface is designed. The performance comparison method of the sliding mode surface proves its better control quality. Aiming at the problem of serious chattering, the nonlinear disturbance observer technology, and saturation function method are introduced to effectively weaken the chattering. Finally, taking the 3-DOF manipulator as the research object, a comparative simulation experiment is carried out in the MATLAB / Simulink environment. The results show that under the uncertainty of modeling error, external disturbance, and joint friction, the designed control method not only solves the problems of singular control input and serious chattering but also realizes the high-precision and fast-tracking of each joint to the desired trajectory. Thus, the effectiveness and feasibility of the design method are verified. The improvement of the performance of the multi-joint manipulator control system is of great significance to improve the level of industrial automation. The existing sliding mode control methods are difficult to ensure the high-precision and fast-tracking of joints of a manipulator to the desired trajectory under low chattering control input. Therefore, a non-singular fast terminal sliding mode control method based on a nonlinear disturbance observer is proposed. In addition, a new non-singular fast terminal sliding mode surface is designed. The performance comparison method of the sliding mode surface proves its better control quality. Aiming at the problem of serious chattering, the nonlinear disturbance observer technology, and saturation function method are introduced to effectively weaken the chattering. Finally, taking the 3-DOF manipulator as the research object, a comparative simulation experiment is carried out in the MATLAB / Simulink environment. The results show that under the uncertainty of modeling error, external disturbance, and joint friction, the designed control method not only solves the problems of singular control input and serious chattering but also realizes the high-precision and fast-tracking of each joint to the desired trajectory. Thus, the effectiveness and feasibility of the design method are verified.
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