Identification of candidate odorant‐degrading enzyme genes in the antennal transcriptome of Aphidius gifuensis

Kang Zhi‐Wei,Liu Fang‐Hua,Xu Yong‐Yu,Cheng Jia‐Hui,Lin Xiao‐Li,Jing Xiang‐Feng,Tian Hong‐Gang,Liu Tong‐Xian 한국곤충학회 2021 Entomological Research Vol.51 No.1

Odorant‐degrading enzymes (ODEs) have been found in insect antennae and play a critical role in signal chemical degradation once the message is conveyed. Significant progress has been made in characterizing ODEs in a variety of pests but very little is known in their natural enemies. We have carried out an antennae‐ and sex‐specific transcriptome of Aphidius gifuensis, a natural enemy of aphid, to identify the candidate ODEs. Based on the antennae‐ and sex‐specific transcriptome, a total of 100 putative ODEs were identified including one aldehyde oxidase (AOX), four alcohol dehydrogenases (ADs), eight UDP‐glucuronosyltransferases (UGTs), 45 cytochrome P450 (P450s), nine glutathione S‐transferases (GSTs) and 40 carboxylesterases (CCEs or CXEs). Additionally, we used RT‐qPCR to determine the expression profiles of these genes in tissues of both sexes. Based on the phylogenic analysis and tissue‐expression patterns, AgifEstE4, AgifCXE3, AgifCCE4, AgifCCE7, and AgifCCE18 were suggested as key ODEs in A. gifuensis. In addition, the female or male specifically enriched genes, such as AgifCCE17, AgifEstB1, AgifCYP18a1, AgifUGT2C2, were also considered to involve in the chemosensory processing in A. gifuensis. This study not only identified the candidate ODEs in A. gifuensis but also provided source for further exploration of the molecular mechanisms of chemical signal transductions in A. gifuensis, as well as other hymenopteran species.

Appropriate nitrogen application enhances saponin synthesis and growth mediated by optimizing root nutrient uptake ability

Wei, Wei,Ye, Chen,Huang, Hui-Chuan,Yang, Min,Mei, Xin-Yue,Du, Fei,He, Xia-Hong,Zhu, Shu-Sheng,Liu, Yi-Xiang The Korean Society of Ginseng 2020 Journal of Ginseng Research Vol.44 No.4

Background: Cultivation of medicinal crops, which synthesize hundreds of substances for curative functions, was focused on the synthesis of secondary metabolites rather than biomass accumulation. Nutrition is an important restrict factor for plant growth and secondary metabolites, but little attention has been given to the plasticity of nutrient uptake and secondary metabolites synthesis response to soil nitrogen (N) change. Methods: Two year-field experiments of Sanqi (Panax notoginseng), which can synthesize a high level of saponin in cells, were conducted to study the effects of N application on the temporal dynamics of biomass, nutrient absorption, root architecture and the relationships between these parameters and saponin synthesis. Results: Increasing N fertilizer rates could improve the dry matter yields and nutrient absorption ability through increasing the maximum daily growth (or nutrient uptake) rate. Under suitable N level (225 kg/ha N), Sanqi restricted the root length and surface and enhanced the root diameter and N uptake rate per root length (NURI) to promote nutrient absorption, but the opposite status of Sanqi root architecture and NURI was found when soil N was deficient. Furthermore, increasing N rates could promote the accumulation of saponin in roots through improving the NURI, which showed a significant positive relationship with the content of saponin in the taproots. Conclusion: Appropriate N fertilizer rates could optimize both root architecture and nutrient uptake efficiency, then promote both the accumulation of dry matter and the synthesis of saponins.

Surface Modification with Pluronic P123 Enhances Transfection Efficiency of PAMAM Dendrimer

Xiang Wang,Shen Gao,Xin Wu,Wei Fan,Baoyue Ding,Xiaoyu Wang,Wei Zhang,Xueying Ding,Jing Gao,Quangang Zhu,Jiyong Liu,Zhen Cai 한국고분자학회 2012 Macromolecular Research Vol.20 No.2

To improve gene delivery efficiency and decrease cytotoxicity of polyamidoamine (PAMAM) polymers,P123-g-PAMAM was synthesized by modifying PAMAM with pluronic P123. The structure of the synthesized polymers was analyzed using proton nuclear magnetic resonance. The polymers were able to self-assemble with DNA,forming nanometer-scale complexes. Particle size measurement confirmed that the mean diameter of the polyplexes was 100-250 nm. The cytotoxicity and transfer efficiency were measured and compared with those of PEI and PAMAM. All of the polyplexes showed significantly low cytotoxicity in the MCF-7, HepG2, and 293T cell lines. In addition, the low level of P123 grafting to PAMAM showed significantly higher transfection efficiency than unmodified PAMAM at the optimal N/P ratio. These results suggest that P123-ylated PAMAM may prove as a useful carrier for gene delivery.

Spatial Path Following Control of an Autonomous Underactuated Airship

Wei-Xiang Zhou,Chang Xiao,Ping-Fang Zhou,Deng-Ping Duan 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7

This paper studies the spatial path following control of an autonomous underactuated airship in the presence of model uncertainties and external disturbances. Firstly, the nonlinear dynamics model, kinematics modeland path following error dynamics model are given. And the control objective is formulated. Then, an adaptivebackstepping sliding mode controller is designed. Besides, to overcome the disadvantage of dependence on theaccurate vehicle model, a nonlinear disturbance observer (NDOB) is adopted to estimate the attack and sideslip angular velocities. In addition, when backstepping technique is uesd, the complex analytic computation of commandderivative is required to be known. To handle this problem, a sliding mode differentiator is implemented to generatethe command derivatives. Finally, the closed loop stability for the system is proved using Lyapunov stability theory. Numerical simulations are given to demonstrate the effectiveness of the proposed method.

Design of a Class of New Nonlinear Disturbance Observers based on Tracking Differentiators for Uncertain Dynamic Systems

Xiang-Wei Bu,Xiao-Yan Wu,Yong-Xing Chen,Rui-Yang Bai 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.3

The main contribution of this paper is to present a general design method of new nonlinear disturbance observer (NDO) based on tracking differentiator (TD) for uncertain dynamic system. The stability and convergence of the proposed NDO can be guaranteed by TD. This new NDO can be used to estimate many types of uncertain disturbances, and can overcome the disadvantages of existing NDOs that need the priori information concerning the upper and lower bounds of the disturbance and its ith derivative’s Lipschitz upper bound. It can be also applied in uncertain dynamic system for various purposes such as disturbance estimate and compensation, solving the problem of control input constraint, and reducing even eliminating chattering of control input. Simulation results are presented to show the effectiveness of the developed NDO.

ADRVis : an Information Visualization Platform for Adverse Drug Reactions

Wei Jian-Xiang,Zhu Yun-Xia,Sun Jun,Xu Hou-Ming,Li Ming,Sun Yue-Hong 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10

Adverse drug reactions (ADRs) are a serious threat to people's lives and property safety. Currently, drug instructions are the main way for people to obtain information on ADRs. Due to drugs’ limited pre-market clinical trials, adverse reactionsstated in drug instructions are often not sufficient. Avisualization platform for ADRs isput forward to address this problem. Adverse drug events (ADEs) data include actual clinical adverse reactions of drugs detected by drug monitoring administrationand can compensate for the insufficiency of drug instructions. Based on drug instructions and ADEs data, ADRVis isrealized by data analysis, model design and JAVA programming. ADRVis presentsthe relationship of 656 common drugs and their respective ADRs. Three case studies show that the platform has the capacities of visual presentation of ADRs and early warning of drug risks.The platform can provide people more rich information about drugs and help them understand ADRs more accurately and comprehensively.

An Approximate Solution Method of Dynamic Reliability for Wind Turbine Gear Transmission with Parameters of Uncertain Distribution Type

Wei Sun,Xiang Liu,Jing Wei 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.6

The reliability evaluation of wind turbine system is the theoretical basis for engineering design, and how to deal with its complex wind loads is the technical challenge for it. Considering the distribution type of wind loads is uncertain, the stress-strength interference model based on the assumption of normal distribution can’t be applied to the reliability of wind turbine gear transmission. For this, the dynamic reliability model for wind turbine transmission with uncertain distribution parameters is established firstly with the deterioration of gear contact stress and strength degradation being considered. Then, the dynamic reliability is solved by approximate expansion of the model function into standard normal distribution function based on the stochastic perturbation theory and the Edgeworth series method. In the absence of experimental data, the first four moments of the random parameters with uncertain distribution are obtained by Monte Carlo method. Meanwhile, the dynamic reliability sensitivity to gear parameters is derived by the same method and the sensitivity variation is given which effectively reflecting the influence of gear parameter changes on the system reliability of wind power gear drive, and providing an accurate theoretical basis for the optimal design of the project.

Anti-androgen-independent Prostate Cancer Effects of Ginsenoside Metabolites In Vitro: Mechanism and Possible Structure-Activity Relationship Investigation

Wei Li,Yong Liu,Jiang-Wei Zhang,Chun-Zhi Ai,Nan Xiang,Hui-Xin Liu,Ling Yang 대한약학회 2009 Archives of Pharmacal Research Vol.32 No.1

Treatment of androgen-independent prostate cancer (AIPC) remains unsatisfactory. In our present experiment, natural occurring ginsenosides (NOGs) and intestinal bacterial metabolites (IBMs) were employed to investigate their anti-AIPC cell growth activity using PC-3 cells. Our results showed that the IBMs exerted more portent anti-AIPC activity than NOGs, by decreasing survival rate, inhibiting proliferation, inducing apoptosis, and leading to cell cycle arrest in AIPC PC-3 cells. The increase of LogP and decrease of C-6 steric hindrance, which were caused by deglycosylation by intestinal bacteria, may be the reason for the higher anti-AIPC activity of IBMs.

Expression and Characterization of a Single-Chain Variable Fragment against Human LOX-1 in Escherichia coli and Brevibacillus choshinensis

( Wei Hu ),( Jun-yan Xiang ),( Ping Kong ),( Ling Liu ),( Qiuhong Xie ),( Hongyu Xiang ) 한국미생물 · 생명공학회 2017 Journal of microbiology and biotechnology Vol.27 No.5

The single-chain variable fragment (scFv) against lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) is a promising molecule for its potential use in the diagnosis and immunotherapy of atherosclerosis. Producing this scFv in several milligram amounts could be the starting point for further engineering and application of the scFv. In this study, the abundant expression of the anti-LOX-1 scFv was attempted using Escherichia coli (E. coli) and Brevibacillus choshinensis (B. choshinensis). The scFv had limited soluble yield in E. coli, but it was efficiently secreted by B. choshinensis. The optimized fermentation was determined using the Plackett-Burman screening design and response surface methodology, under which the yield reached up to 1.5 g/l in a 5-L fermentor. Moreover, the properties of the scFvs obtained from the two expression systems were different. The antigen affinity, transition temperature, and particle diameter size were 1.01E-07 M, 55.2 ± 0.3℃, and 9.388 nm for the scFv expressed by B. choshinensis, and 4.53E-07 M, 52.5 ± 0.3℃, and 13.54 nm for the scFv expressed by E. coli. This study established an efficient scale-up production methodology for the anti-LOX-1 scFv, which will boost its use in LOX-1-based therapy.

Research on a Model of Extracting Persons` Information Based on Statistic Method and Conceptual Knowledge

( Xiang Feng Wei ),( Ning Jia ),( Quan Zhang ),( Han Fen Zang ) 한국언어정보학회 2007 학술대회 논문집 Vol.2007 No.-

In order to extract some important information of a person from text, an extracting model was proposed. The person``s name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person``s name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.