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      • Mobile Anchor Assisted Distributed Localization for Wireless Sensor Networks with Holes

        Longfei Wen,Fenxi Yao,Guang Ye,Lingguo Cui,Baihai Zhang 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

        Location information of sensor node is very significant in wireless sensor networks (WSNs). Currently, localization approaches can be divided into two categories: distributed and centralized. Due to the requirement of the flexibility and real-time performance, distributed algorithms reveal huge advantage. DV-Hop is a classical distributed one which works by transforming the distances to all anchors from hops to units of length measurement (e.g., meters, feet) using the average size of a hop. In anisotropic networks with holes, the performance of DV-Hop degrades because of the imprecise estimation of the hop count and average size of a hop. In this work, a mobile anchor assisted distributed localization method (MAA-DL) is proposed which can decrease the impact of holes in sensor networks. The proposed method uses some mobile anchors to mark some nodes on the boundary of the holes to refine the distances to the anchors. Simulation results show that the proposed algorithm is adapted to anisotropic networks in different situations when varying the node scale and anchor scale. The localization error can be largely decreased using MAA-DL in networks with convex or concave holes.

      • KCI등재

        Bioinformatic and integrated analysis identifies an lncRNA–miRNA–mRNA interaction mechanism in gastric adenocarcinoma

        Yong Liao,Wen Cao,Kunpeng Zhang,Yang Zhou,Xin Xu,Xiaoling Zhao,Xu Yang,Jitao Wang,Shouwen Zhao,Shiyu Zhang,Longfei Yang,Dengxiang Liu,Yanpeng Tian,Weizhong Wu 한국유전학회 2021 Genes & Genomics Vol.43 No.6

        Background lncRNAs–miRNAs–mRNAs networks play an important role in Gastric adenocarcinoma (GA). Identifcation of these networks provide new insight into the role of these RNAs in gastric cancer. Objectives Biological information databases were screened to characterize and examine the regulatory networks and to further investigate the potential prognostic relationship this regulation has in GA. Methods By mining The Cancer Genome Atlas (TCGA) database, we gathered information on GA-related lncRNAs, miRNAs, and mRNAs. We identifed diferentially expressed (DE) lncRNAs, miRNAs, and mRNAs using R software. The lncRNA–miRNA–mRNA interaction network was constructed and subsequent survival examination was performed. Representative genes were selected out using The Biological Networks Gene Ontology plug-in tool on Cytoscape. Additional analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms were used to screen representative genes for functional enrichment. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) were used to identify the expression of fve candidate diferential expressed RNAs. Results Information of samples from 375 cases of gastric cancer and 32 healthy cases (normal tissues) were downloaded from the TCGA database. A total of 1632 DE-mRNAs, 1008 DE-lncRNAs and 104 DE-miRNAs were identifed and screened. Among them, 65 DE-lncRNAs, 10 DE-miRNAs, and 10 DE-mRNAs form lncRNAs–miRNAs–mRNAs regulatory network. Additionally, 10 lncRNAs and 2 mRNAs were associated with the prognosis of GA. Multivariable COX analysis revealed that AC018781.1 and VCAN-AS1 were independent risk factors for GA. GO functional enrichment analysis found DE-mRNA was signifcantly enriched TERM (P<0.05). The KEGG signal regulatory network analysis found 11 signifcantly enrichment networks, the most prevailing was for the AGE-RAGE signaling pathway associated with Diabetic complications. Results of RT-qPCR was consistent with the in silico results. Conclusions The results of the present study represent a view of GA from a analysis of lncRNA, miRNA and mRNA. The network of lncRNA–miRNA–mRNA interactions revealed here may potentially further experimental studies and may help biomarker development for GA.

      • Extended Virtual Force-Based Coverage Scheme for Heterogeneous Wireless Sensor Networks

        Guang Ye,Baihai Zhang,Longfei Wen,Senchun Chai,Lingguo Cui,Jun Li 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

        Wireless Sensor Networks (WSNs) have gained worldwide attentions in recent years. Since WSNs can be conveniently deployed to monitor a given field of interest, they have been considered as a great long-term economic potential for military, environmental, and scientific applications etc. One of the most active areas of research in WSNs is the coverage which is one of the most essential functions to guarantee quality of service (QoS) in WSNs. In this work, the coverage control problems in heterogeneous WSNs have been analyzed. The Delaunay Triangulation and modified ideal distance coefficient have been employed into traditional virtual force algorithm (which often used in homogeneous WSNs) to improve the QoS of the deployment. In order to validate the performance of the proposed algorithms, numerical simulations for heterogeneous WSNs cases have been considered in this work. The simulation results verify the effectiveness of this proposed algorithm.

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        Sublytic C5b-9 induces glomerular mesangial cell proliferation via ERK1/2-dependent SOX9 phosphorylation and acetylation by enhancing Cyclin D1 in rat Thy-1 nephritis

        Xie Mengxiao,Wu Zhijiao,Ying Shuai,Liu Longfei,Zhao Chenhui,Yao Chunlei,Zhang Zhiwei,Luo Can,Wang Wenbo,Zhao Dan,Zhang Jing,Qiu Wen,Qiu Wen 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

        Glomerular mesangial cell (GMC) proliferation is a histopathological alteration in human mesangioproliferative glomerulonephritis (MsPGN) or in animal models of MsPGN, e.g., the rat Thy‐1 nephritis (Thy-1N) model. Although sublytic C5b-9 assembly on the GMC membrane can trigger cell proliferation, the mechanisms are still undefined. We found that sublytic C5b-9-induced rat GMC proliferation was driven by extracellular signal‐regulated kinase 1/2 (ERK1/2), sry-related HMG-box 9 (SOX9), and Cyclin D1. Here, ERK1/2 phosphorylation was a result of the calcium influx-PKC-α-Raf-MEK1/2 axis activated by sublytic C5b-9, and Cyclin D1 gene transcription was enhanced by ERK1/2-dependent SOX9 binding to the Cyclin D1 promoter (−582 to −238 nt). In addition, ERK1/2 not only interacted with SOX9 in the cell nucleus to mediate its phosphorylation at serine residues 64 (a new site identified by mass spectrometry) and 181 (a known site), but also indirectly induced SOX9 acetylation by elevating the expression of general control non-repressed protein 5 (GCN5), which together resulted in Cyclin D1 synthesis and GMC proliferation. Moreover, our in vivo experiments confirmed that silencing these genes ameliorated the lesions of Thy‐1N rats and reduced SOX9 phosphorylation, acetylation and Cyclin D1 expression. Furthermore, the renal tissue sections of MsPGN patients also showed higher phosphorylation or expression of ERK1/2, SOX9, and Cyclin D1. In summary, these findings suggest that sublytic C5b-9-induced GMC proliferation in rat Thy-1N requires SOX9 phosphorylation and acetylation via enhanced Cyclin D1 gene transcription, which may provide a new insight into human MsPGN pathogenesis.

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