lncRNA Epigenetic Landscape Analysis Identifies <i>EPIC1</i> as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer

Wang, Zehua,Yang, Bo,Zhang, Min,Guo, Weiwei,Wu, Zhiyuan,Wang, Yue,Jia, Lin,Li, Song,Caesar-Johnson, Samantha J.,Demchok, John A.,Felau, Ina,Kasapi, Melpomeni,Ferguson, Martin L.,Hutter, Carolyn M.,Sof Cell Press 2018 Cancer Cell Vol. No.

<P><B>Summary</B></P> <P>We characterized the epigenetic landscape of genes encoding long noncoding RNAs (lncRNAs) across 6,475 tumors and 455 cancer cell lines. In stark contrast to the CpG island hypermethylation phenotype in cancer, we observed a recurrent hypomethylation of 1,006 lncRNA genes in cancer, including <I>EPIC1</I> (epigenetically-induced lncRNA1). Overexpression of <I>EPIC1</I> is associated with poor prognosis in luminal B breast cancer patients and enhances tumor growth <I>in vitro</I> and <I>in vivo.</I> Mechanistically, <I>EPIC1</I> promotes cell-cycle progression by interacting with MYC through <I>EPIC1</I>'s 129–283 nt region. <I>EPIC1</I> knockdown reduces the occupancy of MYC to its target genes (e.g., <I>CDKN1A</I>, <I>CCNA2</I>, <I>CDC20</I>, and <I>CDC45</I>). MYC depletion abolishes <I>EPIC1</I>'s regulation of MYC target and luminal breast cancer tumorigenesis <I>in vitro</I> and <I>in vivo</I>.</P> <P><B>Highlights</B></P> <P> <UL> <LI> LncRNAs show a hypomethylation phenotype, in contrast to a CIMP phenotype in cancer </LI> <LI> <I>EPIC1</I> promotes breast tumorigenesis through regulating cancer cell-cycle progression </LI> <LI> <I>EPIC1</I> directly interacts with MYC protein through <I>EPIC1</I>'s 129–283 nt region </LI> <LI> <I>EPIC1</I> regulates MYC targets by enhancing MYC occupancy on its target promoters </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>[DISPLAY OMISSION]</P>

Preparation and Photoelectric Properties of Silver Nanowire/ZnO Thin Film Ultraviolet Detector

Zhenfeng Li,Wei Xiao,Hongzhi Zhou,Zhiyuan Shi,Rongqing Li,Jia Zhang,Yang Li,Peng He,Shuye Y. Zhang 대한금속·재료학회 2023 ELECTRONIC MATERIALS LETTERS Vol.19 No.5

Ultraviolet (UV) detectors have important applications in many fi elds. ZnO is an excellent semiconductor material for the preparation of UV detectors because of its large direct gap in forbidden bandwidth, its intrinsic response band in the UV region, and its high exciton binding energy. In this paper, high-performance ZnO thin fi lms with the optically advantageous nonpolar structure were prepared by using an atomic layer deposition, and the dominant crystal plane gradually changes from the amorphous phase to the (100) crystal plane. The conventional photoconductor structure ZnO UV detector was enhanced by the surface plasmon exciton eff ect of Ag nanostructure. When the operating voltage is 5 V and the response light is 350 nm, there is a maximum optical responsiveness of up to 131 A/W. The UV/visible rejection ratio can reach 1824 times. When the ZnO thin fi lm deposition thickness is 400 deposition cycles and about 72 nm, the ZnO thin fi lm UV detector obtains the highest responsiveness (5 V, 365 nm) of 365 A/W. Comparing the photovoltaic performance of the ZnO thin-fi lm detector with the enhanced ZnO thin-fi lm detector and its optimal response wavelength, it is found that the enhanced ZnO thin-fi lm detector increased the photoresponse value by about 100 times. The optimal response wavelength in the UV region is blueshifted, and the UV-visible rejection ratio and optical response rate are signifi cantly improved.

Molecular detection and genetic diversity of bovine papillomavirus in dairy cows in Xinjiang, China

Qingling Meng,Chengcheng Ning,Lixia Wang,Yan Ren,Jie Li,Chencheng Xiao,Yanfang Li,Zhiyuan Li,Zhihao He,Xuepeng Cai,Jun Qiao 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.4

Background: Bovine papillomatosis is a type of proliferative tumor disease of skin and mucosae caused by bovine papillomavirus (BPV). As a transboundary and emerging disease in cattle, it poses a potential threat to the dairy industry. Objectives: The aim of this study is to detect and clarify the genetic diversity of BPV circulating in dairy cows in Xinjiang, China. Methods: 122 papilloma skin lesions from 8 intensive dairy farms located in different regions of Xinjiang, China were detected by polymerase chain reaction. The genetic evolution relationships of various types of BPVs were analyzed by examining this phylogenetic tree. Results: Ten genotypes of BPV (BPV1, BPV2, BPV3, BPV6, BPV7, BPV8, BPV10, BPV11, BPV13, and BPV14) were detected and identified in dairy cows. These were the first reported detections of BPV13 and BPV14 in Xinjiang, Mixed infections were detected, and there were geographical differences in the distribution of the BPV genotypes. Notably, the BPV infection rate among young cattle (< 1-year-old) developed from the same supply of frozen sperm was higher than that of the other young cows naturally raised under the same environmental conditions. Conclusions: Genotyping based on the L1 gene of BPV showed that BPVs circulating in Xinjiang China displayed substantial genetic diversity. This study provided valuable data at the molecular epidemiology level, which is conducive to developing deep insights into the genetic diversity and pathogenic characteristics of BPVs in dairy cows.

Prediction of downburst-induced wind pressure coefficients on high-rise building surfaces using BP neural network

Zhiyuan Fang,Zhisong Wang,Zhengliang Li 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.30 No.3

Gusts generated by downburst have caused a great variety of structural damages in many regions around the world. It is of great significance to accurately evaluate the downburst-induced wind load on high-rise building for the wind resistance design. The main objective of this paper is to propose a computational modeling approach which can satisfactorily predict the mean and fluctuating wind pressure coefficients induced by downburst on high-rise building surfaces. In this study, using an impinging jet to simulate downburst-like wind, and simultaneous pressure measurements are obtained on a high-rise building model at different radial locations. The model test data are used as the database for developing back propagation neural network (BPNN) models. Comparisons between the BPNN prediction results and those from impinging jet test demonstrate that the BPNN-based method can satisfactorily and efficiently predict the downburst-induced wind pressure coefficients on single and overall surfaces of high-rise building at various radial locations.

Virtual Network Embedding based on Node Connectivity Awareness and Path Integration Evaluation

( Zhiyuan Zhao ),( Xiangru Meng ),( Yuze Su ),( Zhentao Li ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.7

As a main challenge in network virtualization, virtual network embedding problem is increasingly important and heuristic algorithms are of great interest. Aiming at the problems of poor correlation in node embedding and link embedding, long distance between adjacent virtual nodes and imbalance resource consumption of network components during embedding, we herein propose a two-stage virtual network embedding algorithm NA-PVNM. In node embedding stage, resource requirement and breadth first search algorithm are introduced to sort virtual nodes, and a node fitness function is developed to find the best substrate node. In link embedding stage, a path fitness function is developed to find the best path in which available bandwidth, CPU and path length are considered. Simulation results showed that the proposed algorithm could shorten link embedding distance, increase the acceptance ratio and revenue to cost ratio compared to previously reported algorithms. We also analyzed the impact of position constraint and substrate network attribute on algorithm performance, as well as the utilization of the substrate network resources during embedding via simulation. The results showed that, under the constraint of substrate resource distribution and virtual network requests, the critical factor of improving success ratio is to reduce resource consumption during embedding.

Fatigue Strength and Root-Deck Crack Propagation for U-Rib to Deck Welded Joint in Steel Box Girder

YuanZhou Zhiyuan,Ji Bohai,Li Di,Fu Zhongqiu 한국강구조학회 2018 International Journal of Steel Structures Vol.18 No.5

Fatigue tests and numerical analysis were carried out to evaluate the fatigue performance at the U-rib to deck welded joint in steel box girder. Twenty specimens were tested corresponding to diff erent penetration rates (80 and 100%) under fatigue bending load, and the fatigue strength was investigated based on hot spot stress (HSS) method. The detailed stress distribution at U-rib to deck welded joint was analyzed by the fi nite element method, as well as the stress intensity factor of weld root. The test results show that the specimens with fully penetration rate have longer crack propagation life due to the welding geometry, resulting in higher fatigue failure strength. The classifi cation of FAT-90 is reasonable for evaluating fatigue strength by HSS method. The penetration rate has eff ect on crack propagation angle near the surface, and the 1-mm stress below weld toe and root approves to be more suitable for fatigue stress assessment, because of its high sensitivity to weld geometry than HSS.

Facile synthesis and characterization of GO/ZnS nanocomposite with highly efficient photocatalytic activity

Lingwei Li,Shaolin Xue,Pei Xie,Hange Feng,Xin Hou,Zhiyuan Liu,Zhuoting Xu,Rujia Zou 대한금속·재료학회 2018 ELECTRONIC MATERIALS LETTERS Vol.14 No.6

ZnS nanowalls, microspheres and rice-shaped nanoparticles have been successfully grown on graphene oxide (GO) sheets bythe hydrothermal method. The morphologies, structures, chemical compositions and optical properties of the as-synthesizedGO/ZnS have been characterized by X-ray power diff raction, energy dispersive spectrometer, scanning electron microscope,Raman spectra, photoluminescence spectroscopy and ultraviolet–visible absorption spectroscopy. It was found that theconcentration of CTAB and the reaction temperature were important in the formation of GO/ZnS microstructures. The photocatalyticactivity of the as-synthesized GO/ZnS was investigated through the photocatalytic degradation of textile dyeingwaste. Results showed that the catalytic activity of the GO/ZnS porous spheres to methyl orange and methylene blue is higherthan those of other samples. The degradation rates of methyl orange and methylene blue by porous spheres in 50 min were97.6 and 97.1%, respectively. This is mainly attributed to the large specifi c surface area of GO/ZnS porous spheres and highseparation effi ciency between photogenerated electron and hole pairs.

A Study of Complex Property Counterexample Generation Method for Markov Model

Mingyu Ji,Zhiyuan Chen,Yanmei Li 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.2

Au@Ag Core−Shell Nanocubes with Finely Tuned and Well-Controlled Sizes, Shell Thicknesses, and Optical Properties

Ma, Yanyun,Li, Weiyang,Cho, Eun Chul,Li, Zhiyuan,Yu, Taekyung,Zeng, Jie,Xie, Zhaoxiong,Xia, Younan American Chemical Society 2010 ACS NANO Vol.4 No.11

<P>This paper describes a facile method for generating Au@Ag core−shell nanocubes with edge lengths controllable in the range of 13.4−50 nm. The synthesis involved the use of single-crystal, spherical Au nanocrystals of 11 nm in size as the seeds in an aqueous system, with ascorbic acid serving as the reductant and cetyltrimethylammonium chloride (CTAC) as the capping agent. The thickness of the Ag shells could be finely tuned from 1.2 to 20 nm by varying the ratio of AgNO<SUB>3</SUB> precursor to Au seeds. We also investigated the growth mechanism by examining the effects of seeds (capped by CTAC or cetyltrimethylammonium bromide(CTAB)) and capping agent (CTAC <I>vs</I> CTAB) on both size and shape of the resultant core−shell nanocrystals. Our results clearly indicate that CTAC worked much better than CTAB as a capping agent in both the syntheses of Au seeds and Au@Ag core−shell nanocubes. We further studied the localized surface plasmon resonance properties of the Au@Ag nanocubes as a function of the Ag shell thickness. By comparing with the extinction spectra obtained from theoretical calculations, we derived a critical value of <I>ca.</I> 3 nm for the shell thickness at which the plasmon excitation of the Au cores would be completely screened by the Ag shells. Moreover, these Au@Ag core−shell nanocubes could be converted into Au-based hollow nanostructures containing the original Au seeds in the interiors through a galvanic replacement reaction.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2010/ancac3.2010.4.issue-11/nn102237c/production/images/medium/nn-2010-02237c_0001.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn102237c'>ACS Electronic Supporting Info</A></P>

Micromechanical investigation for the probabilistic behavior of unsaturated concrete

Qing Chen,Zhiyuan Zhu,Fang Liu,Haoxin Li,Zhengwu Jiang 사단법인 한국계산역학회 2020 Computers and Concrete, An International Journal Vol.26 No.2

There is an inherent randomness for concrete microstructure even with the same manufacturing process. Meanwhile, the concrete material under the aqueous environment is usually not fully saturated by water. This study aimed to develop a stochastic micromechanical framework to investigate the probabilistic behavior of the unsaturated concrete from microscale level. The material is represented as a multiphase composite composed of the water, the pores and the intrinsic concrete (made up by the mortar, the coarse aggregates and their interfaces). The differential scheme based two-level micromechanical homogenization scheme is presented to quantitatively predict the concrete’s effective properties. By modeling the volume fractions and properties of the constituents as stochastic, we extend the deterministic framework to stochastic to incorporate the material’s inherent randomness. Monte Carlo simulations are adopted to reach the different order moments of the effective properties. A distribution-free method is employed to get the unbiased probability density function based on the maximum entropy principle. Numerical examples including limited experimental validations, comparisons with existing micromechanical models, commonly used probability density functions and the direct Monte Carlo simulations indicate that the proposed models provide an accurate and computationally efficient framework in characterizing the material’s effective properties. Finally, the effects of the saturation degrees and the pore shapes on the concrete macroscopic probabilistic behaviors are investigated based on our proposed stochastic micromechanical framework.