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Silencing of Long Non-Coding RNA MALAT1 Promotes Apoptosis of Glioma Cells
Jianping Xiang,Shifeng Guo,Shuling Jiang,Yuelong Xu,Jiwei Li,Li Li,Jinyu Xiang 대한의학회 2016 Journal of Korean medical science Vol.31 No.5
The metastasis-associated lung adenocarcinoma transcription 1 (MALAT1) is a highly conserved long non-coding RNA (lncRNA) gene. However, little is known about the pathological role of lncRNA MALAT1 in glioma. In the present study, we explored the expression level of lncRNA MALAT1 in primary glioma tissues as well as in U87 and U251 glioma cell lines. Using qRT-PCR, we found that the expression of lncRNA MALAT1 was significantly increased in glioma tissues compared with that of paracancerous tissues. Meanwhile, the expression of MALAT1 was highly expressed in U98 and U251 cells. In order to explore the function of MALAT1, the expression of MALAT1 was greatly reduced in U87 and U251 cells transfected with siRNA specifically targeting MALAT1. Consequently, cell viability of U87 and U251 cells were drastically decreased after the knockdown of MALAT1. Concomitantly, the apoptosis rate of the two cell lines was dramatically increased. Furthermore, the expression levels of some tumor markers were reduced after the knockdown of MALAT1, such as CCND1 and MYC. In summary, the current study indicated a promoting role of MALAT1 in the development of glioma cell.
Adaptive Variable Impulsive Synchronization of Multi‑agent Systems
Like Gao,Jing Xiao,Xiaoxuan Guo,Shifeng Ou,Yangjun Zhou,Ning Wu,Yubin Feng,Zhiyang Yao 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.1
This paper is concerned with the adaptive synchronization of multi-agent systems via variable impulsive control method. Based on the theory of impulsive diferential equations, adaptive control technique, Lyapunov stability theory and comparison system method, some novel adaptive synchronization conditions with impulsive time window are given to realize the synchronization of multi-agent nonlinear systems with uncertain parameters. Diferent from the existing investigations of impulsive synchronization of multi-agent systems, the proposed impulsive control protocol with impulsive time window is more efective in practical systems. Finally, two simulation results demonstrate the validity of the theoretical results.