Small Double-Stranded RNA Mediates the Anti-Cancer Effects of p21WAF1/ClP1 Transcriptional Activation in a Human Glioma Cell Line

Zhiqiang Dong,Yamei Dang,Yirong Chen 연세대학교의과대학 2014 Yonsei medical journal Vol.55 No.2

Purpose: This study was conducted to investigate the small double-stranded RNA (dsRNA) mediated anti-tumor effects of p21WAF1/ClP1 (p21) transcriptional activation in vitro in the human glioma SHG-44 cell line. Materials and Methods: Human glioma SHG-44 cells were transfected with dsRNA using LipofectAMINE 2000 transfection reagent. Real-time PCR and Western blot analysis were conducted to detect p21 and survivin mRNA and protein levels, respectively. Cell proliferation was examined by MTT assay. Cell cycle distribution and apoptosis were detected by flow-cytometric analysis. Results: We found that dsRNA targeting p21 promoter (dsP21) significantly induced the expression of p21 at transcription and protein levels,and reduced the expression of survivin. AS well, dsP21 transcription significantlyinhibited human glioma SHG-44 cell proliferation. Analysis of cell cycle distributionrevealed that dsP21 transfection increased accumulation of cells in the G0/G1 phase and reduced accumulation of cells in the S phase. Further analysis revealed that dsP21 transcription led to an increase in both early and late stages of apoptosis in human glioma SHG-44 cells. Conclusion: In the present study, P21 activation by RNA-induced gene activation (RNAa) induced anti-tumor activity in vitro in a humanglioma SHG-44 cell line. The results suggested that RNAa could be used for human glioma treatment by targeted activation of tumor suppressor genes.

Effect of Antrodia camphorata polysaccharides on letrozole-induced polycystic ovary syndrome (PCOS) model rats

Zhiqiang Liu,Chaojie Chong,Zhewen Dong,Yaqi Wu,Wanying Li,Haokun Chen,Shumei Zhong,Junyang Liu,Qi Qi Pang,Jia-Le Song,Yanyuan Zhou 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10

To investigate the effect of ACP on letrozole-induced PCOS rats. All rats were divided into normal groups, PCOS group, metformin group and ACP group. The body weight (BW) was recorded every three days, and the final body weight as well as ovarian weight were recorded. Serum levels of TC, TG, HDL-C, LDL-C and E2, T, FSH and LH were measured by ELISA assay, and the LH/FSH ratio was calculated. The results showed that ACP decreased the BW and the ratio of ovarian to BW. Compared with the normal group, the serum levels of T, LH, LH/FSH, TG, TC, LDL-C increased, and the levels of FSH, E2, HDL-C decreased in PCOS group. ACP effectively improves the serum levels of FSH, LH/FSH, TG, TC, LDL-C and other related factors. The results of H&E staining of ovarian tissues showed that the ACP group showed different degrees of improvement in the reduced number of corpus luteum, thinning of granulosa cell layer, follicular capsular dilatation and follicular atresia. ACP not only reduces BW and the ratio of ovarian to BW, but also it can elevate the level of FSH and reduce LH/FSH, TG, TC and HDL-C levels. Furthermore, ACP can protect ovarian tissue to some extent.

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection

( Zhiqiang Lv ),( Jianbo Li ),( Chuanhao Dong ),( Yue Wang ),( Haoran Li ),( Zhihao Xu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

Compared with vehicle trajectories, pedestrian trajectories have stronger degrees of freedom and complexity, which poses a higher challenge to trajectory prediction tasks. This paper designs a mode to divide the trajectory of pedestrians at a traffic intersection, which converts the trajectory regression problem into a trajectory classification problem. This paper builds a deep model for pedestrian trajectory prediction at intersections for the task of pedestrian short-term trajectory prediction. The model calculates the spatial correlation and temporal dependence of the trajectory. More importantly, it captures the interactive features among pedestrians through the Attention mechanism. In order to improve the training speed, the model is composed of pure convolutional networks. This design overcomes the single-step calculation mode of the traditional recurrent neural network. The experiment uses Vulnerable Road Users trajectory dataset for related modeling and evaluation work. Compared with the existing models of pedestrian trajectory prediction, the model proposed in this paper has advantages in terms of evaluation indicators, training speed and the number of model parameters.

MiR-186 Inhibited Migration of NSCLC via Targeting cdc42 and Effecting EMT Process

Dong, Ying,Jin, Xintian,Sun, Zhiqiang,Zhao, Yueming,Song, Xianjing Korean Society for Molecular and Cellular Biology 2017 Molecules and cells Vol.40 No.3

In this study, qRT-PCR was employed to identify that miR-186 expression level in NSCLC tissues are highly associated with lymph node metastasis. In addition, through the application of western blotting, luciferase assay and qRT-PCR, it was found that miR-186 targeted 3'UTR of cdc42 mRNA and down-regulated cdc42 protein level in a post-transcriptional manner. Transwell assay indicated that cdc42 partially reversed the effect of miR-186 mimics. Besides, miR-186 was proved to regulate EMT by influencing biomarkers of this process and cell adhesion ability. Thus, miR-186 is a potential target for NSCLC therapy. miR-186 is proposed to be one of tumor-suppressors and may serve as a therapeutic target in NSCLC treatment.

MiR-186 Inhibited Migration of NSCLC via Targeting cdc42 and Effecting EMT Process

Ying Dong,Xintian Jin,Zhiqiang Sun,Yueming Zhao,Xianjing Song 한국분자세포생물학회 2017 Molecules and cells Vol.40 No.3

In this study, qRT-PCR was employed to identify that miR-186 expression level in NSCLC tissues are highly associated with lymph node metastasis. In addition, through the application of western blotting, luciferase assay and qRT-PCR, it was found that miR-186 targeted 3UTR of cdc42 mRNA and down-regulated cdc42 protein level in a post-transcriptional manner. Transwell assay indicated that cdc42 partially reversed the effect of miR-186 mimics. Besides, miR-186 was proved to regulate EMT by influencing biomarkers of this process and cell adhesion ability. Thus, miR-186 is a potential target for NSCLC therapy. miR-186 is proposed to be one of tumor-suppressors and may serve as a therapeutic target in NSCLC treatment.

Distributed Optimization of a Multisubchannel Ad Hoc Cognitive Radio Network

Leith, A.,Dong In Kim,Alouini, M-S,Zhiqiang Wu IEEE 2012 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY Vol.61 No.4

<P>In this paper, we study the distributed-duality-based optimization of a multisubchannel ad hoc cognitive radio network (CRN) that coexists with a multicell primary radio network (PRN). For radio resource allocation in multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, the orthogonal-access-based exclusive subchannel assignment (ESA) technique has been a popular method, but it is suboptimal in ad hoc networks, because nonorthogonal access between multiple secondary-user links by using shared subchannel assignment (SSA) can bring a higher weighted sum rate. We utilize the Lagrangian dual composition tool and design low-complexity near-optimal SSA resource allocation methods, assuming practical discrete-rate modulation and that the CRN-to-PRN interference constraint has to strictly be satisfied. However, available SSA methods for CRNs are either suboptimal or involve high complexity and suffer from slow convergence. To address this problem, we design fast-convergence SSA duality schemes and introduce several novel methods to increase the speed of convergence and to satisfy various system constraints with low complexity. For practical implementation in ad hoc CRNs, we design distributed-duality schemes that involve only a small number of CRN local information exchanges for dual update. The effects of many system parameters are presented through simulation results, which show that the near-optimal SSA duality scheme can perform significantly better than the suboptimal ESA duality and SSA-iterative waterfilling schemes and that the performance loss of the distributed schemes is small, compared with their centralized counterparts.</P>

Production of Mycelial Biomass and Exo-polymer by Hericium erinaceus CZ-2: Optimization of Nutrients Levels using Response Surface Methodology

Fengjie Cui,Zhiqiang Liu,Yin Li,Lifeng Ping,Liying Ping,Zhicai Zhang,Lin Lin,Ying Dong,Daming Huang 한국생물공학회 2010 Biotechnology and Bioprocess Engineering Vol.15 No.2

The Doehlert experimental design was used to optimize the production of mycelial biomass and exopolymer from Hericium erinaceus CZ-2 in this study. Statistical analysis showed that the linear and quadric terms of 3 variables: corn flour, yeast extract, and corn steep liquor had significant effects. The optimized combination of these 3 variables was confirmed through validation experiments. The optimal conditions for higher production of mycelial biomass (19.92 g/L) were estimated when the media composition concentrations were set as: 30.85 g/L,corn flour; 2.81 g/L, yeast extract; 16.9 mL/L, corn steep liquor; 10 g/L, glucose; 1 g/L, KH2PO4; and 0.5 g/L,MgSO4·7H2O; while a maximal exo-polymer yield (1.653g/L) could be achieved when setting concentrations of:32.71 g/L, corn flour; 2.35 g/L, Yeast extract; 14.42 mL/L,Corn steep liquor; 10 g/L, glucose; 1 g/L, KH2PO4; and 0.5g/L, MgSO4·7H2O. The upscale production was also investigated using a 15 L fermentor using the optimized medium.

Research on Dynamic Pressure of Hydrostatic Thrust Bearing Under the Different Recess Depth and Rotating Velocity

Xiaodong Yu,Zhiqiang Wang,Xiuli Meng,Huanhuan Li,Dan Liu,Xu Fu,Bo Wu,Li Tan,Bai Qin,Xuezhe Dong 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.2

Traffic Flow Prediction Model Based on Spatio-Temporal Dilated Graph Convolution

( Xiufang Sun Jianbo Li ),( Zhiqiang Lv ),( Chuanhao Dong ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.9

With the increase of motor vehicles and tourism demand, some traffic problems gradually appear, such as traffic congestion, safety accidents and insufficient allocation of traffic resources. Facing these challenges, a model of Spatio-Temporal Dilated Convolutional Network (STDGCN) is proposed for assistance of extracting highly nonlinear and complex characteristics to accurately predict the future traffic flow. In particular, we model the traffic as undirected graphs, on which graph convolutions are built to extract spatial feature informations. Furthermore, a dilated convolution is deployed into graph convolution for capturing multi-scale contextual messages. The proposed STDGCN integrates the dilated convolution into the graph convolution, which realizes the extraction of the spatial and temporal characteristics of traffic flow data, as well as features of road occupancy. To observe the performance of the proposed model, we compare with it with four rivals. We also employ four indicators for evaluation. The experimental results show STDGCN’s effectiveness. The prediction accuracy is improved by 17% in comparison with the traditional prediction methods on various real-world traffic datasets.

Heteroatom‑doped porous carbon derived from covalent organic framework for high performance supercapacitor applications

Yuzhu Xing,Yan Dong,Jifan Zhao,Zhiqiang Zhang,Yue Wang 한국탄소학회 2023 Carbon Letters Vol.33 No.6

In recent years, supercapacitors have attracted extensive attention due to their advantages such as fast charge and discharge rate, high power density and long cycle life. Because of its unique porous structure and excellent electrochemical properties, heteroatom-doped porous carbon (HPC) is deemed as a promising electrode material for supercapacitors. However, it is a great challenge to synthesize electrode materials with large surface area, ultra-high porosity and good electrochemical performance. In this work, two-dimensional conjugated microporous polymers (CMPs) containing ketones were synthesized by a simple one-step coupling reaction and used as carbon precursors. A series of samples (CMP-Ts) were prepared with the procedures of coupling reaction and carbonization. The optimized carbon material has high specific surface area (up to 2229.85 m2 g? 1), porous structure, high specific capacitance (375 F g? 1 at 0.5 A g? 1), and good cycling stability (capacitance retention of 98.8% after 1000 cycles at 5 A g? 1). Further, the supercapacitor has an energy density of 28.8 Wh kg? 1 at a power density of 5000 W kg? 1. This work lays a foundation for the preparation of carbon materials using microporous polymer as a precursor system, provides a new way of thinking, and demonstrates a great potential of high-performance supercapacitors.