Hepatitis C Virus Nonstructural 5A Protein (HCV-NS5A) Inhibits Hepatocyte Apoptosis through the NF-κb/miR-503/bcl-2 Pathway

Xie, Zhengyuan,Xiao, Zhihua,Wang, Fenfen Korean Society for Molecular and Cellular Biology 2017 Molecules and cells Vol.40 No.3

The nonstructural protein 5A (NS5A) encoded by the human hepatitis C virus (HCV) RNA genome is a multifunctional phosphoprotein. To analyse the influence of NS5A on apoptosis, we established an Hep-NS5A cell line (HepG2 cells that stably express NS5A) and induced apoptosis using tumour necrosis factor $(TNF)-{\alpha}$. We utilised the MTT assay to detect cell viability, real-time quantitative polymerase chain reaction and Western blot to analyse gene and protein expression, and a luciferase reporter gene experiment to investigate the targeted regulatory relationship. Chromatin immunoprecipitation was used to identify the combination of $NF-{\kappa}B$ and miR-503. We found that overexpression of NS5A inhibited $TNF-{\alpha}$-induced hepatocellular apoptosis via regulating miR-503 expression. The cell viability of the $TNF-{\alpha}$ induced Hep-mock cells was significantly less than the viability of the $TNF-{\alpha}$ induced Hep-NS5A cells, which demonstrates that NS5A inhibited $TNF-{\alpha}$-induced HepG2 cell apoptosis. Under $TNF-{\alpha}$ treatment, miR-503 expression was decreased and cell viability and B-cell lymphoma 2 (bcl-2) expression were increased in the Hep-NS5A cells. Moreover, the luciferase reporter gene experiment verified that bcl-2 was a direct target of miR-503, NS5A inhibited $TNF{\alpha}$-induced $NF-{\kappa}B$ activation and $NF-{\kappa}B$ regulated miR-503 transcription by combining with the miR-503 promoter. After the Hep-NS5A cells were transfected with miR-503 mimics, the data indicated that the mimics could reverse $TNF-{\alpha}$-induced cell apoptosis and blc-2 expression. Collectively, our findings suggest a possible molecular mechanism that may contribute to HCV treatment in which NS5A inhibits $NF-{\kappa}B$ activation to decrease miR-503 expression and increase bcl-2 expression, which leads to a decrease in hepatocellular apoptosis.

A Low-Complexity and High-Quality Image Compression Method for Digital Cameras

Xiang Xie,Guolin Li,Zhihua Wang 한국전자통신연구원 2006 ETRI Journal Vol.28 No.2

This letter proposes a new near-lossless image compression method with only one line buffer cost for a digital camera with Bayer format image. For such format data, it can provide a low average compression rate (4.24bits/pixel) with high-image quality (larger than 46.37dB where the error of every pixel is less than two). The experimental results show that the near-lossless compression method has better performance than JPEG-LS (lossless) with δ = 2 for a Bayer format image.

Model diagnostics of parametric Tobit model based on cumulative residuals

Sun Zhihua,Guo Yuanyuan,Xie Tianfa,Wang Miaomiao 한국통계학회 2021 Journal of the Korean Statistical Society Vol.50 No.1

In this paper, we investigate the adequate check of the parametric Tobit model. A Cramér–Von Mises type test statistic is constructed, and its asymptotic properties under the null and alternative hypotheses are rigorously studied. The method is efective for the adequacy check of parametric regression models with a scalar or multivariate covariate. Furthermore, it avoids the nonparametric smoothing of the regression function and the choice of the smoothing parameter. Simulation studies are conducted to compare the performance of the proposed test procedure and the existing methods in the literature. A real data set of income is analyzed by applying the proposed method.

Hepatitis C Virus Nonstructural 5A Protein (HCV-NS5A) Inhibits Hepatocyte Apoptosis through the NF-κb/miR-503/bcl-2 Pathway

Zhengyuan Xie,Zhihua Xiao,Fenfen Wang 한국분자세포생물학회 2017 Molecules and cells Vol.40 No.3

The nonstructural protein 5A (NS5A) encoded by the human hepatitis C virus (HCV) RNA genome is a multifunctional phosphoprotein. To analyse the influence of NS5A on apoptosis, we established an Hep-NS5A cell line (HepG2 cells that stably express NS5A) and induced apoptosis using tumour necrosis factor (TNF)-. We utilised the MTT assay to detect cell viability, real-time quantitative polymerase chain reaction and Western blot to analyse gene and protein expres-sion, and a luciferase reporter gene experiment to investigate the targeted regulatory relationship. Chromatin immunoprecipitation was used to identify the combination of NF-B and miR-503. We found that overexpression of NS5A inhibited TNF--induced hepatocellular apoptosis via regulating miR-503 expression. The cell viability of the TNF- induced Hep-mock cells was significantly less than the viability of the TNF- induced Hep-NS5A cells, which demonstrates that NS5A inhibited TNF--induced HepG2 cell apoptosis. Under TNF- treatment, miR-503 expression was decreased and cell viability and B-cell lymphoma 2 (bcl-2) expression were increased in the Hep-NS5A cells. Moreover, the luciferase reporter gene experiment verified that bcl-2 was a direct target of miR-503, NS5A inhibited TNF--induced NF-B activation and NF-B regulated miR-503 transcription by combining with the miR-503 promoter. After the Hep-NS5A cells were transfected with miR-503 mimics, the data indicated that the mimics could reverse TNF--induced cell apoptosis and blc-2 expression. Collectively, our findings suggest a possible molecular mechanism that may contribute to HCV treatment in which NS5A inhibits NF-B activation to decrease miR-503 expression and increase bcl-2 expression, which leads to a decrease in hepatocellular apoptosis.

A fourth-order accurate alternating group explicit parallel algorithm for the convection-diffusion equation

Jianguo LIN,Zhihua XIE,Juntao ZHOU 한국전산유체공학회 2006 한국전산유체공학회 학술대회논문집 Vol.2006 No.5

A Bi-objective Game-based Task Scheduling Method in Cloud Computing Environment

Wanwan Guo,Mengkai Zhao,Zhihua Cui,Liping Xie 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11

The task scheduling problem has received a lot of attention in recent years as a crucial area for research in the cloud environment. However, due to the difference in objectives considered by service providers and users, it has become a major challenge to resolve the conflicting interests of service providers and users while both can still take into account their respective objectives. Therefore, the task scheduling problem as a bi-objective game problem is formulated first, and then a task scheduling model based on the bi-objective game (TSBOG) is constructed. In this model, energy consumption and resource utilization, which are of concern to the service provider, and cost and task completion rate, which are of concern to the user, are calculated simultaneously. Furthermore, a many-objective evolutionary algorithm based on a partitioned collaborative selection strategy (MaOEA-PCS) has been developed to solve the TSBOG. The MaOEA-PCS can find a balance between population convergence and diversity by partitioning the objective space and selecting the best converging individuals from each region into the next generation. To balance the players' multiple objectives, a crossover and mutation operator based on dynamic games is proposed and applied to MaPEA-PCS as a player's strategy update mechanism. Finally, through a series of experiments, not only the effectiveness of the model compared to a normal many-objective model is demonstrated, but also the performance of MaOEA-PCS and the validity of DGame.

In silico Discovery of Genes Expressed in Liver, Kidney, Spleen and Small Intestine of Pigs

Pan, Zengxiang,Liu, Honglin,Chen, Jie,Xu, Dan,Jiang, Zhihua,Xie, Zhuang Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.2

An in silico approach was developed to survey the genes expressed in four internal organs of pig: liver, kidney, spleen and small intestine. The major procedures of the approach included: (1) BLAST searching against GenBank "est_others" database using human cDNA sequences as queries to screen the porcine orthologous expressed sequence tags (ESTs), (2) classifying the porcine ESTs records by resources according to certain criteria and (3) analyzing data for ESTs specifically expressed in each organ. In order to do so, four Java programs were developed. Based on the ESTs available in the GenBank database, it was found that there were at least 2,100 genes expressed in these four organs, including 128 in the liver, 81 in the kidney, 780 in the spleen, and 1,423 in the small intestine respectively (a few genes co-expressed in these tissues). Gene expression patterns, such as co-expressed genes, preferentially expressed genes and basic active genes were also compared and characterized among these organs. This study provides a comprehensive model on how to use the bioinformatics approach and Genbank databases to facilitate the discovery of new genes in livestock species.