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      • KCI등재

        FoxM1 contributes to progestin resistance and epithelial-to-mesenchymal transition in endometrial carcinoma

        Wang Lianhua,Shi Qiyang,Chen Shaorong 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.2

        Background Progestin resistance remains a major issue that is urgently needed to solve in progestin therapy for patients with endometrial carcinoma (EC). Increasing research indicated the critical role of FoxM1 in drug resistance of diverse cancers. Objective This study aims to explore whether FoxM1 contributes to medroxyprogesterone acetate (MPA, a commonly used progestin) resistance in EC. Results It was observed that FoxM1 is highly expressed in MPA-resistant ECC-1 (ECC-1/MPA) cells at both protein and mRNA levels when compared with ECC-1 cells. Knocking down FoxM1 in ECC-1/MPA cells signifi cantly decreased the IC50 value of MPA, and rendered ECC-1/MPA cells more sensitive to MPA treatment. In vivo assay exhibited a similar tendency. Simultaneously, FoxM1 knockdown also suppressed proliferation, migration, and invasion of ECC-1/MPA cells. Furthermore, FoxM1 knockdown also suppressed epithelial-to-mesenchymal transition (EMT), as revealed by an elevation in E-cadherin expression and a decrease in N-cadherin and Vimentin expressions in ECC-1/MPA cells. Conclusion These fi ndings indicated the role of FoxM1 in the MPA resistance of EC. Down-regulated FoxM1 expression might be a potential strategy for overcoming MPA resistance.

      • SCIESCOPUSKCI등재

        TCSC Nonlinear Adaptive Damping Controller Design Based on RBF Neural Network to Enhance Power System Stability

        Yao, Wei,Fang, Jiakun,Zhao, Ping,Liu, Shilin,Wen, Jinyu,Wang, Shaorong The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.2

        In this paper, a nonlinear adaptive damping controller based on radial basis function neural network (RBFNN), which can infinitely approximate to nonlinear system, is proposed for thyristor controlled series capacitor (TCSC). The proposed TCSC adaptive damping controller can not only have the characteristics of the conventional PID, but adjust the parameters of PID controller online using identified Jacobian information from RBFNN. Hence, it has strong adaptability to the variation of the system operating condition. The effectiveness of the proposed controller is tested on a two-machine five-bus power system and a four-machine two-area power system under different operating conditions in comparison with the lead-lag damping controller tuned by evolutionary algorithm (EA). Simulation results show that the proposed damping controller achieves good robust performance for damping the low frequency oscillations under different operating conditions and is superior to the lead-lag damping controller tuned by EA.

      • KCI등재

        Damping of Inter-Area Low Frequency Oscillation Using an Adaptive Wide-Area Damping Controller

        Wei Yao,L. Jiang,Jiakun Fang,Jinyu Wen,Shaorong Wang 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.1

        This paper presents an adaptive wide-area damping controller (WADC) based on generalized predictive control (GPC) and model identification for damping the inter-area low frequency oscillations in large-scale inter-connected power system. A recursive least-squares algorithm (RLSA) with a varying forgetting factor is applied to identify online the reduced-order linearlized model which contains dominant inter-area low frequency oscillations. Based on this linearlized model, the generalized predictive control scheme considering control output constraints is employed to obtain the optimal control signal in each sampling interval. Case studies are undertaken on a two-area fourmachine power system and the New England 10-machine 39-bus power system, respectively. Simulation results show that the proposed adaptive WADC not only can damp the inter-area oscillations effectively under a wide range of operation conditions and different disturbances, but also has better robustness against to the time delay existing in the remote signals. The comparison studies with the conventional lead-lag WADC are also provided.

      • KCI등재

        TCSC Nonlinear Adaptive Damping Controller Design Based on RBF Neural Network to Enhance Power System Stability

        Wei Yao,Jiakun Fang,Ping Zhao,Shilin Liu,Jinyu Wen,Shaorong Wang 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.2

        In this paper, a nonlinear adaptive damping controller based on radial basis function neural network (RBFNN), which can infinitely approximate to nonlinear system, is proposed for thyristor controlled series capacitor (TCSC). The proposed TCSC adaptive damping controller can not only have the characteristics of the conventional PID, but adjust the parameters of PID controller online using identified Jacobian information from RBFNN. Hence, it has strong adaptability to the variation of the system operating condition. The effectiveness of the proposed controller is tested on a two-machine five-bus power system and a four-machine two-area power system under different operating conditions in comparison with the lead-lag damping controller tuned by evolutionary algorithm (EA). Simulation results show that the proposed damping controller achieves good robust performance for damping the low frequency oscillations under different operating conditions and is superior to the lead-lag damping controller tuned by EA.

      • SCIESCOPUSKCI등재

        Damping of Inter-Area Low Frequency Oscillation Using an Adaptive Wide-Area Damping Controller

        Yao, Wei,Jiang, L.,Fang, Jiakun,Wen, Jinyu,Wang, Shaorong The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.1

        This paper presents an adaptive wide-area damping controller (WADC) based on generalized predictive control (GPC) and model identification for damping the inter-area low frequency oscillations in large-scale inter-connected power system. A recursive least-squares algorithm (RLSA) with a varying forgetting factor is applied to identify online the reduced-order linearlized model which contains dominant inter-area low frequency oscillations. Based on this linearlized model, the generalized predictive control scheme considering control output constraints is employed to obtain the optimal control signal in each sampling interval. Case studies are undertaken on a two-area four-machine power system and the New England 10-machine 39-bus power system, respectively. Simulation results show that the proposed adaptive WADC not only can damp the inter-area oscillations effectively under a wide range of operation conditions and different disturbances, but also has better robustness against to the time delay existing in the remote signals. The comparison studies with the conventional lead-lag WADC are also provided.

      • KCI등재

        Tie1 contributes to the development of ovarian hyperstimulation syndrome under the regulation of EGR1 in granulosa cells

        Sun Lihua,Tian Hui,Xue Songguo,Ye Hongjuan,Xue Xue,Wang Rongxiang,Liu Yu,Zhang Caixia,Chen Qiuju,Gao Shaorong 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

        The expression of tyrosine kinase with immunoglobulin-like and epidermal growth factor-like domains 1 (Tie1), a transmembrane protein expressed almost exclusively by endothelial cells, has been reported in granulosa cells. However, its significance in ovarian hyperstimulation syndrome (OHSS), which can occur after the injection of gonadotropins in infertile women undergoing controlled ovarian stimulation, is unknown. Here, we report significantly increased Tie1 and vascular endothelial growth factor (VEGF) expression in cultured granulosa cells from OHSS patients, as well as ovaries from rats with experimentally established OHSS, compared to controls, with the levels of both proteins also increasing in granulosa and SVOG cells (a nontumorigenic human granulosa-lutein cell line) treated with an acute dose of human chorionic gonadotropin (hCG). Tie1 silencing abolished the hCG-induced VEGF level in SVOG cells and attenuated the progression of OHSS in rats, as determined by histological analysis. Further studies in SVOG cells revealed that the hCG-induced upregulation of Tie1 expression involved the phosphoinositide 3-kinase/protein kinase B signaling pathway. We also report that early growth response protein 1 (EGR1), whose expression was also upregulated by hCG, bound directly to the Tie1 promoter and activated its transcription. Taken together, our results indicate that Tie1 may be a therapeutic target in cases of moderate-to-severe OHSS. Further studies are needed to address its clinical relevance.

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