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      • KCI등재

        Epigenetic silencing of olfactomedin-4 enhances gastric cancer cell invasion via activation of focal adhesion kinase signaling

        ( Li Li Guo ),( Zhao Cai He ),( Chang Qing Yang ),( Pei Tang Qiao ),( Guo Ling Yin ) 생화학분자생물학회(구 한국생화학분자생물학회) 2015 BMB Reports Vol.48 No.11

        Downregulation of olfactomedin-4 (OLFM4) is associated with tumor progression, lymph node invasion and metastases. However, whether or not downregulation of OLFM4 is associated with epigenetic silencing remains unknown. In this study, we investigate the role of OLFM4 in gastric cancer cell invasion. We confirm the previous result that OLFM4 expression is increased in gastric cancer tissues and decreases with an increasing number of metastatic lymph nodes, which are associated with OLFM4 promoter hypermethylation. Overexpression of OLFM4 in gastric cancer cells had an inhibitory effect on cell invasion. Furthermore, we found that focal adhesion kinase (FAK) was negatively correlated with OLFM4 in regards to lymph node metastasis in gastric cancer tissues. Also, inhibition of FAK induced by OLFM4 knockdown resulted in a decrease in cell invasion. Thus, our study demonstrates that epigenetic silencing of OLFM4 enhances gastric cancer cell invasion via activation of FAK signaling. [BMB Reports 2015; 48(11): 630-635]

      • Effects of Down-regulation of HDAC6 Expression on Proliferation, Cell Cycling and Migration of Esophageal Squamous Cell Carcinoma Cells and Related Molecular Mechanisms

        Li, Ning,Tie, Xiao-Jing,Liu, Pei-Jie,Zhang, Yan,Ren, Hong-Zheng,Gao, Xin,Xu, Zhi-Qiao Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.2

        Objective: To study the effects of down-regulation of HDAC6 expression on proliferation, cell cycling and migration of esophageal squamous cell carcinoma (ESCC) cells and related molecular mechanisms. Methods: ESCC cell line EC9706 cells were randomly divided into untreated (with no transfection), control siRNA (transfected with control siRNA) and HDAC6 siRNA (transfected with HDAC6 small interfering RNA) groups. Effects of HDAC6 siRNA interference on expression of HDAC6 mRNA and protein in EC9706 cells were investigated by semi-quantitative RT-PCR, Western blotting and immunocytochemistry methods. Effects of down-regulation of HDAC6 expression on cell proliferation, cell cycle, and cell migration were studied using a CCK-8 kit, flow cytometry and Boyden chambers, respectively. Changes of mRNA and protein expression levels of cell cycle related factor (p21) and cell migration related factor (E-cadherin) were investigated by semi-quantitative RT-PCR and Western blotting methods. Results: After transfection of HDAC6 siRNA, the expression of HDAC6 mRNA and protein in EC9706 cells was significantly downregulated. In the HDAC6 siRNA group, cell proliferation was markedly inhibited, the percentage of cells in G0/G1 phase evidently increased and the percentage of cells in S phase decreased, and the number of migrating cells significantly and obviously decreased. The mRNA and protein expression levels of p21 and E-cadherin in the HDAC6 siRNA group were significantly higher than those in the untreated group and the control siRNA group, respectively. Conclusions: HDAC6 siRNA can effectively downregulate the expression of HDAC6 mRNA and protein in EC9706 cells. Down-regulation of HDAC6 expression can obviously inhibit cell proliferation, arrest cell cycling in the G0/G1 phase and reduce cell migration. The latter two functions may be closely related with the elevation of mRNA and protein expression of p21 and E-cadherin.

      • Liver Function Diagnosis Based on Artificial Bee Colony and K-Means Algorithm

        Zhang Lin,Li Peng,Qiao Pei-li 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.1

        The traditional K-Means clustering is sensitive to random selection of initial cluster centroids, easily into the local optimal solution. In this paper, an efficient aggregation algorithm which combined with Artificial bee colony and K-Means algorithm is proposed to apply to the diagnosis of liver function. The algorithm reduced the dependence on the initial cluster centroids and the probability to be trapped by local optimal solution, thus assigning data points to their appropriate cluster more efficient. The experimental results show that algorithm proposed in this paper is superior to the K-Means clustering in diagnosis of liver function.

      • KCI등재

        Novel Phage Display-Derived H5N1-Specific scFvs with Potential Use in Rapid Avian Flu Diagnosis

        ( Jie Wu ),( Xian Qiao Zeng ),( Hong Bin Zhang ),( Han Zhong Ni ),( Lei Pei ),( Li Rong Zou ),( Li Jun Liang ),( Xin Zhang ),( Jin Yan Lin ),( Chang Wen Ke ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.5

        The highly pathogenic avian influenza A (HPAI) viruses of the H5N1 subtype infect poultry and have also been spreading to humans. Although new antiviral drugs and vaccinations can be effective, rapid detection would be more efficient to control the outbreak of infections. In this study, a phage-display library was applied to select antibody fragments for HPAI strain A/Hubei/1/2010. As a result, three clones were selected and sequenced. A hemagglutinin inhibition assay of the three scFvs revealed that none exhibited hemagglutination inhibition activity towards the H5N1 virus, yet they showed a higher binding affinity for several HPAI H5N1 strains compared with other influenza viruses. An ELISA confirmed that the HA protein was the target of the scFvs, and the results of a protein structure simulation showed that all the selected scFvs bound to the HA2 subunit of the HA protein. In conclusion, the three selected scFVs could be useful for developing a specific detection tool for the surveillance of HPAI epidemic strains.

      • Computer Aided Diagnosis Based on K-means Collaborative Filtering Algorithm

        Feng Xue-yuan,Li Peng,Qiao Pei-li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4

        In computer aided diagnosis (CAD) process, one of the most challenging problems is data sparsity, which leads to the diagnosis results are not reliable. This paper proposes a clustering collaborative filtering based algorithm to solve the problem of data sparsity. In this paper, we use k-means clustering algorithm to cluster the same type of patients, and then adopt collaborative filtering method to fill the missing data values for each cluster, in this way to reduce the complexity of similarity calculation of collaborative filtering. The proposed method makes full use of the information-sharing mechanism of "similar patient population" to predict and fill the missing values. A hepatitis dataset is used for evaluating the performance of the algorithm. Results indicate that the proposed algorithm has better performance for medical record data sparsity problem.

      • KCI등재

        Associations of HSP90AA2 gene polymorphisms with disease susceptibility, glucocorticoids efficacy and health-related quality of life in Chinese systemic lupus erythematosus patients

        Man Zhang,Su‑Su Li,Qiao‑Mei Xie,Jian‑Hua Xu,Xiu‑Xiu Sun,Fa‑Ming Pan,Sheng‑Qian Xu,Sheng‑Xiu Liu,Jin‑Hui Tao,Shuang Liu,Jing Cai,Pei‑Ling Chen,Long Qian,Chun‑Huai Wang,Chun‑Mei Liang,Hai‑Liang Huang,Ha 한국유전학회 2018 Genes & Genomics Vol.40 No.10

        Although the current glucocorticoids (GCs) treatment for systemic lupus erythematosus (SLE) is effective to a certain extent, the difference in therapeutic effect between patients is still a widespread problem. Some patients can have repeated attacks that greatly diminish their quality of life. This study was conducted to investigate the relationship between HSP90AA2 polymorphisms and disease susceptibility, GCs efficacy and health-related quality of life (HRQoL) in Chinese SLE patients. A case–control study was performed in 470 SLE patients and 470 normal controls. Then, 444 patients in the case group were followed up for 12 weeks to observe efficacy of GCs and improvement of HRQoL. Two single nucleotide polymorphisms (SNPs) of HSP90AA2 were selected for genotyping: rs1826330 and rs6484340. HRQoL was assessed using the SF-36 questionnaire. The minor T allele of rs1826330 and the TT haplotype formed by rs1826330 and rs6484340 showed associations with decreased SLE risk (T allele: PBH = 0.022; TT haplotype: PBH = 0.033). A significant association between rs6484340 and improvement of HRQoL was revealed in the follow-up study. Five subscales of SF-36 were appeared to be influenced by rs6484340: total score of SF-36 (additive model: PBH = 0.026), physical function (additive model: PBH = 0.026), rolephysical (recessive model: PBH = 0.041), mental health (dominant model: PBH = 0.047), and physical component summary (additive model: PBH = 0.026). No statistical significance was found between HSP90AA2 gene polymorphisms and GCs efficacy. These results revealed a genetic association between HSP90AA2 and SLE. Remarkably, HSP90AA2 has an impact on the improvement of HRQoL in Chinese population with SLE.

      • SCISCIESCOPUS

        <i>Yersinia pseudotuberculosis</i> Exploits CD209 Receptors for Promoting Host Dissemination and Infection

        He, Ying-Xia,Ye, Cheng-Lin,Zhang, Pei,Li, Qiao,Park, Chae Gyu,Yang, Kun,Jiang, Ling-Yu,Lv, Yin,Ying, Xiao-Ling,Ding, Hong-Hui,Huang, Hong-Ping,Mambwe Tembo, John,Li, An-Yi,Cheng, Bing,Zhang, Shu-Sheng American Society for Microbiology 2019 Infection and immunity Vol.87 No.1

        <P><I>Yersinia pseudotuberculosis</I> is a Gram-negative enteropathogen and causes gastrointestinal infections. It disseminates from gut to mesenteric lymph nodes (MLNs), spleen, and liver of infected humans and animals.</P><P><I>Yersinia pseudotuberculosis</I> is a Gram-negative enteropathogen and causes gastrointestinal infections. It disseminates from gut to mesenteric lymph nodes (MLNs), spleen, and liver of infected humans and animals. Although the molecular mechanisms for dissemination and infection are unclear, many Gram-negative enteropathogens presumably invade the small intestine via Peyer’s patches to initiate dissemination. In this study, we demonstrate that <I>Y. pseudotuberculosis</I> utilizes its lipopolysaccharide (LPS) core to interact with CD209 receptors, leading to invasion of human dendritic cells (DCs) and murine macrophages. These <I>Y. pseudotuberculosis</I>-CD209 interactions result in bacterial dissemination to MLNs, spleens, and livers of both wild-type and Peyer’s patch-deficient mice. The blocking of the <I>Y. pseudotuberculosis</I>-CD209 interactions by expression of O-antigen and with oligosaccharides reduces infectivity. Based on the well-documented studies in which HIV-CD209 interaction leads to viral dissemination, we therefore propose an infection route for <I>Y. pseudotuberculosis</I> where this pathogen, after penetrating the intestinal mucosal membrane, hijacks the <I>Y. pseudotuberculosis</I>-CD209 interaction antigen-presenting cells to reach their target destinations, MLNs, spleens, and livers.</P>

      • KCI등재

        Polymorphisms in TYMS for Prediction of Capecitabine-Induced Hand-Foot Syndrome in Chinese Patients with Colorectal Cancer

        Si-Qi Dong,Tong-Min Wang,Jiang-Bo Zhang,Yong-Qiao He,Wen-Qiong Xue,Zi-Yi Wu,Da-Wei Yang,Lian-Jing Cao,Jing-Wen Huang,Xi-Zhao Li,Pei-Fen Zhang,Xiao-Hui Zheng,Wei-Hua Jia 대한암학회 2021 Cancer Research and Treatment Vol.53 No.3

        Purpose Capecitabine is an extensively used oral prodrug of 5-fluorouracil in treatment of colon cancer and is known to cause hand-foot syndrome (HFS). As the target enzyme for capecitabine, thymidylate synthase (TYMS) plays a key role for 5-fluorouracil metabolism and has been associated with some side effects caused by capecitabine. The aim of our study is to identify the possible genetic predictors of capecitabine-induced HFS (CAP-HFS) in Chinese colorectal cancer patients.Materials and Methods Whole exons of TYMS were sequenced for 288 extreme phenotype HFS patients, including 144 severe or early-onset (first 2 cycles) moderate HFS extreme cases and 144 extreme controls with no reported HFS. The associations between polymorphisms and CAP-HFS were analyzed using logistic regression under an additive model.Results We identified a novel risk mutation (c.1A>G, chr18:657743), was associated with severe HFS in an extreme case who was affected during the first cycle of treatment. Moreover, we identified three new variants, rs3786362, rs699517, rs2790, and two previously reported variants, 5’VNTR 2R/3R and 3′-untranslated region 6-bp ins-del, which were significantly associated with CAP-HFS (p < 0.05). In silico analysis revealed that the effect of these polymorphisms in the TYMS region on the development of HFS might not be restricted solely to the regulation of TYMS expression, but also the TYMS catalytic activity through the indirect effect on ENOSF1 expression.Conclusion This study identified new polymorphisms in TYMS gene significantly associated with CAP-HFS, which may serve as useful genetic predictors for CAP-HFS and help to elucidate the underlying mechanism of HFS.

      • KCI등재

        Network Intrusion Detection Based on Directed Acyclic Graph and Belief Rule Base

        Bang-Cheng Zhang,Guan-Yu Hu,Zhi-Jie Zhou,You-Min Zhang,Pei-Li Qiao,Lei-Lei Chang 한국전자통신연구원 2017 ETRI Journal Vol.39 No.4

        Intrusion detection is very important for network situation awareness. While a few methods have been proposed to detect network intrusion, they cannot directly and effectively utilize semi-quantitative information consisting of expert knowledge and quantitative data. Hence, this paper proposes a new detection model based on a directed acyclic graph (DAG) and a belief rule base (BRB). In the proposed model, called DAG-BRB, the DAG is employed to construct a multi-layered BRB model that can avoid explosion of combinations of rule number because of a large number of types of intrusion. To obtain the optimal parameters of the DAG-BRB model, an improved constraint covariance matrix adaption evolution strategy (CMA-ES) is developed that can effectively solve the constraint problem in the BRB. A case study was used to test the efficiency of the proposed DAG-BRB. The results showed that compared with other detection models, the DAG-BRB model has a higher detection rate and can be used in real networks.

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