Comparative transcriptome analysis of berry-sizing effects of gibberellin ( GA3) on seedless Vitis vinifera L.

Xicheng Wang,Mizhen Zhao,Weimin Wu,Nicholas Kibet Korir,Yaming Qian,Zhuangwei Wang 한국유전학회 2017 Genes & Genomics Vol.39 No.5

Gibberellin (GA) is widely used to enlarge berries of seedless table grape and raisin varieties. The molecular mechanism underlying the berry-sizing effect of gibberelins is however poorly understood. We used a high-throughput deep sequencing technology to investigate the transcriptome and comparative expression profiles of berries from Vitis vinifera L. ‘Summer Black’ treated with GA3 with the aim of increasing the understanding of molecular mechanisms underlying the species’ expansion growth responses to exogenous GA3 hormone application. A total of 591 differentially expressed genes (DEGs) were detected including genes involved in fruit expansion and growth. There were four expansion genes, three cellulose synthase A catalytic subunit genes, four cellulose synthaselike protein genes and three xyloglucan endotransglucosylase genes. Differential expression of these genes could potentially explain the difference in the growth and sizes of fruits from control (CK) and GA3 treated (+GA) vines. In addition, the expression patterns of 14 DEGs were validated by qRT-PCR, and the outcomes agreed highly with the RNA-Seq results. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to better understand the functions of these DEGs. We also identified a large number of single nucleotide polymorphism and insertion/deletion markers, which will be a rich resource for future marker development and breeding research in grape. The transcriptome analysis provides valuable information for furthering our understanding of the molecular mechanisms that regulate the fruit expansion growth, and adds to the growing foundation for future genetic and functional genomic studies in grape fruit.

Development of scaling approach based on experimental and CFD data for thermal stratification and mixing induced by steam injection through spargers

Wang Xicheng,Grishchenko Dmitry,Kudinov Pavel 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.3

Advanced Pressurized Water Reactors (APWRs) and Boiling Water Reactors (BWRs) employ a suppression pool as a heat sink to prevent containment overpressure. Steam can be discharged into the pool through multi-hole spargers or blowdown pipes in both normal and accident conditions. Direct Contact Condensation (DCC) creates sources of momentum and heat. The competition between these two sources determines the development of thermal stratification or mixing of the pool. Thermal stratification is of safety concern as it reduces the cooling capability compared to a completely mixed pool condition. In this work we develop a scaling approach to prediction of the thermal stratification in a water pool induced by steam injection through spargers. Experimental data obtained from large-scale pool tests conducted in the PPOOLEX and PANDA facilities, as well as simulation results obtained using validated codes are used to develop the scaling. Two injection orientations, namely radial injection through multi-hole Sparger Head (SH) and vertical injection through Load Reduction Ring (LRR), are considered. We show that the erosion rate of the cold layer can be estimated using the Richardson number. In this work, scaling laws are proposed to estimate both the (i) transient erosion velocity and (ii) the stable position of the thermocline. These scaling laws are then implemented into a 1D model to simulate the thermal behavior of the pool during steam injection through the sparger.

Scaling Inter-domain Routing System via Path Exploration Aggregation

( Xiaoqiang Wang ),( Peidong Zhu ),( Xicheng Lu ),( Kan Chen ),( Huayang Cao ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.3

One of the most important scalability issues facing the current Internet is the rapidly increasing rate of BGP updates (BGP churn), to which route flap and path exploration are the two major contributors. Current countermeasures would either cause severe reachability loss or delay BGP convergence, and are becoming less attractive for the rising concern about routing convergence as the prevalence of Internet-based real time applications. Based on the observation that highly active prefixes usually repeatedly explore very few as-paths during path exploration, we propose a router-level mechanism, Path Exploration Aggregation (PEA), to scale BGP without either causing prefix unreachable or slowing routing convergence. PEA performs aggregation on the transient paths explored by a highly active prefix, and propagates the aggregated path instead to reduce the updates caused by as-path changes. Moreover, in order to avoid the use of unstable routes, PEA purposely prolongs the aggregated path via as-path prepending to make it less preferred in the perspective of downstream routers. With the BGP traces obtained from RouteViews and RIPE-RIS projects, PEA can reduce BGP updates by up to 63.1%, shorten path exploration duration by up to 53.3%, and accelerate the convergence 7.39 seconds on average per routing event.

Eliminate Evading Analysis Tricks in Malware using Dynamic Slicing

Peidai Xie,Xicheng Lu,Yongjun Wang,Jinshu Su 보안공학연구지원센터 2013 International Journal of Security and Its Applicat Vol.7 No.3

Trastuzumab combined with irinotecan in patients with HER2-positive metastatic colorectal cancer: A phase II single-arm study and exploratory biomarker analysis

Ting Xu,Xicheng Wang,Ying Xin,Zhenghang Wang,Jifang Gong,Xiaotian Zhang,Yanyan Li,Congcong Ji,Yu Sun,Feilong Zhao,Depei Huang,Yuezong Bai,Jian Li,Lin Shen 대한암학회 2023 Cancer Research and Treatment Vol.55 No.2

Purpose The human epidermal growth factor receptor 2 (HER2) is an established therapeutic target for various kinds of solid tumors. HER2 amplification occurs in approximately 1% to 6% of colorectal cancer. In this study, we aimed to assess the efficacy and safety of trastuzumab in combination with chemotherapy in HER2-positive metastatic colorectal cancer (mCRC). Materials and Methods An open-label, phase II trial (Clinicaltrials.gov: NCT03185988) was designed to evaluate the antitumor activity of trastuzumab and chemotherapy in HER2-positive digestive cancers excluding gastric cancer in 2017. Patients from this trial with HER2-positive, KRAS/BRAF wild-type, unresectable mCRC were analyzed in this manuscript. Eligible patients were treated with trastuzumab (8 mg/kg loading dose and then 6 mg/kg every 3 weeks) and irinotecan (120 mg/m2 days 1 and 8 every 3 weeks). The primary endpoint was the objective response rate. Results Twenty-one HER2-positive mCRC patients were enrolled in this study. Seven patients (33.3%) achieved an objective res-ponse, and 11 patients (52.4%) had stable disease as their best response. The median progression-free survival (PFS) was 4.3 months (95% confidence interval, 2.7 to 5.9). Four of the 21 patients (19.0%) had grade 3 adverse events, including leukopenia, neutropenia, urinary tract infection, and diarrhea. No treatment-related death was reported. Exploratory analyses revealed that high tumor tissue HER2 copy number was associated with better therapeutic response and PFS. Alterations in the mitogen-activated protein kinase pathway, HER2 gene, phosphoinositide 3-kinase/AKT pathway, and cell cycle control genes were potential drivers of trastuzumab resistance in mCRC. Conclusion Trastuzumab combined with chemotherapy is a potentially effective and well-tolerated therapeutic regimen in mCRC with a high HER2 copy number.

Effects of Zinc on the Activity and Conformational Changes of Arginine Kinase and Its Intermediate

Du, Zhaodong,Wang, Xicheng Korean Society for Biochemistry and Molecular Biol 2003 Journal of biochemistry and molecular biology Vol.36 No.4

The effects of zinc on arginine kinase and its collapsed-state intermediate were studied. Both arginine kinase and the collapsed-state intermediate were inactivated in the presence of zinc, following a biphasic kinetic course. The corresponding apparent rate constants of inactivation at different zinc concentrations and conformational changes in the presence of 0.5 mM zinc were obtained. The conformational changes of arginine kinase and the collapsed-state intermediate were followed by fluorescence spectra and circular dichroism spectra. Comparison of the results for arginine kinase and the collapsed-state intermediate showed that the collapsed-state intermediate was more susceptible to zinc, which indicated that the collapsed-state intermediate was more flexible and unstable than arginine kinase. The special structure of arginine kinase might explain these diverse phenomena.

Zirconia-supported niobia catalyzed formation of propanol from 1,2-propanediol via dehydration and consecutive hydrogen transfer

Gongming Peng,Xicheng Wang,Xiufang Chen,Yijun Jiang,Xindong Mu 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

Vapor-phase catalytic dehydration of 1,2-propanediol was investigated over Zirconia-supported niobia catalysts. The catalysts exhibit selectivity favoring propanol (approximately 39%) at 85.0% 1,2-propanediol conversion at 290 8C under 1 atm N2. The ZrNbO catalysts were analyzed by various techniques; the results indicated that the active sites were weak Brønsted acid sites. A dehydration and hydrogen transfer mechanism was also proposed. 2013 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V.

A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

Zhaojun Li,Xinyu Wang,Zheng Li,Xicheng Wang,Keqiu Li 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3

Regarding to the theories and techniques of cloud computing having been developed and applied in scientific computing field, tasks can be conveniently managed by the cloud platform on the basis of standardized scheduling system with cost (resources consumed) recorded. However, there are two issues which drag the customers’ attention: 1) When will the tasks expect for termination (response time) under a specific resource scheduling; 2) What is the best scheduling solution by considering cost. In order to reply these two questions, a Kriging based forecasting and scheduling system has been proposed in this paper. With the cooperation between the scientific designer and the cloud designer, the design variables for evaluating the cloud applications can be achieved; Kriging surrogate model is then introduced to simulate the approximate functional relationship between the design variables and the response time of the tasks; Sequential quadratic programming optimization algorithm then provides the best scheduling solution for the tasks if cost constraints are to be met. Two real scientific computing cloud applications have been testified on an OpenStack cloud platform, with consequences described in details. The work in this paper has put forward a novel way for the designers and the customers on predictable and reasonable scheduling strategies for the various resource-intensive scientific computing cloud applications with surrogate models and optimization algorithms.