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Guoliang Jiang,Lei Zhang,Jinkun Wang,Houjun Zhou 한국통합생물학회 2016 Animal cells and systems Vol.20 No.5
Glioblastoma (GBM) is the most aggressive cerebral gliomas. Moreover, the overall prognosis of GBM is still little. Baicalein (BA) is a flavonoid derived from the Scutellaria baicalensis root, and has historically been used in anticancer therapies. However, its apoptosis role and related mechanisms in GBM has not yet been researched clearly. Thus, this study aimed to investigate the effects of BA on human GBM U251 cell line. The effects of BA on proliferation of U251 cells were measured by Cell Counting Kit-8 assay. Cellular apoptosis was detected by flow cytometry with annexin V-FITC/propidium iodide staining. The expression of apoptosis-related protein Bcl-2, Bax and cleaved-caspase3 was detected by quantitative real-time PCR and western blot. The expression of nuclear p65 protein, the active subunit of nuclear factor-kappa B (NF-κB), was determined by immunofluorescence and western blot. Our results showed that the viability of U251 cells significantly decreased in a time- and dose-dependent manner after treated with BA, and the apoptotic ratio of BA-treated groups was significantly higher than that of control groups. Furthermore, the expression of NF-kB-p65 in the nucleus was remarkably reduced, and the activity of NF-kB-p65 was remarkably inhibited after BA treatment. Combined treatment with a NF-kB-P65 inhibitor (QNZ) and BA resulted in the synergistic reduction of Bcl-2 expression and then increase of Bax and cleaved-caspase3 expression; and the viability of U251 cells was also inhibited. In conclusion, BA inhibits GBM cells viability and induces apoptosis via inhibit the activity of NF-kB-p65, suggesting that BA is a potential therapeutic agent for GBM.
Parameter Identification for a Quadrotor Helicopter Using Multivariable Extremum Seeking Algorithm
Weizhen Liu,Xin Huo,Jinkun Liu,Libin Wang 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.4
Parameter identification for a quadrotor helicopter is challenging from a theoretical point of view. In this paper, a closed-loop multivariable extremum seeking algorithm (MESA) is proposed for a nonlinear quadrotor helicopter parameter identification with two groups of input data. The proposed scheme is universally applicable to the closed-loop identification for cross-coupling multivariable processes where the identification problem is formulated as a minimization of a cost function. As the gradients of the performance parameters are obtained by step response experiments, the whole system searches along the negative gradient of the cost function until the reference trajectory or point is derived. Since the cost function is treated as a mapping from the model parameters, then the parameters can be identified online and in a real-time manner. The procedure of the identification algorithm is presented, and its effectiveness is illustrated by numerical simulations.