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Search Results: 1 - 10 of 58678 matches for " Xing-Ming Shi "
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Glucocorticoid-Induced Leucine Zipper (GILZ) Antagonizes TNF-α Inhibition of Mesenchymal Stem Cell Osteogenic Differentiation
Linlin He,Nianlan Yang,Carlos M. Isales,Xing-Ming Shi
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0031717
Abstract: Tumor necrosis factor-alpha (TNF-α) is a potent proinflammatory cytokine that inhibits osteoblast differentiation while stimulating osteoclast differentiation and bone resorption. TNF-α activates MAP kinase pathway leading to inhibition of osterix (Osx) expression. TNF-α also induces the expression of E3 ubiquitin ligase protein Smurf1 and Smurf2 and promotes degradation of Runx2, another key transcription factor regulating osteoblast differentiation and bone formation. We showed previously that overexpression of glucocorticoid (GC)-induced leucine zipper (GILZ) enhances osteogenic differentiation of bone marrow mesenchymal stem cells (MSCs). We and others also showed that GILZ is a GC effecter and mediates GC anti-inflammatory activity. In this study, we asked the question whether GILZ retains its osteogenic activity while functioning as an anti-inflammatory mediator. To address this question, we infected mouse bone marrow MSCs with retroviruses expressing GILZ and induced them for osteogenic differentiation in the presence or absence of TNF-α. Our results show that overexpression of GILZ antagonized the inhibitory effects of TNF-α on MSC osteogenic differentiation and the mRNA and protein expression of Osx and Runx2, two pivotal osteogenic regulators. Further studies show that these antagonistic actions occur via mechanisms involving GILZ inhibition of TNF-α-induced ERK MAP kinase activation and protein degradation. These results suggest that GILZ may have therapeutic potential as a novel anti-inflammation therapy.
Prediction of S-Glutathionylation Sites Based on Protein Sequences
Chenglei Sun, Zheng-Zheng Shi, Xiaobo Zhou, Luonan Chen, Xing-Ming Zhao
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0055512
Abstract: S-glutathionylation, the reversible formation of mixed disulfides between glutathione(GSH) and cysteine residues in proteins, is a specific form of post-translational modification that plays important roles in various biological processes, including signal transduction, redox homeostasis, and metabolism inside cells. Experimentally identifying S-glutathionylation sites is labor-intensive and time consuming, whereas bioinformatics methods provide an alternative way to this problem by predicting S-glutathionylation sites in silico. The bioinformatics approaches give not only candidate sites for further experimental verification but also bio-chemical insights into the mechanism of S-glutathionylation. In this paper, we firstly collect experimentally determined S-glutathionylated proteins and their corresponding modification sites from the literature, and then propose a new method for predicting S-glutathionylation sites by employing machine learning methods based on protein sequence data. Promising results are obtained by our method with an AUC (area under ROC curve) score of 0.879 in 5-fold cross-validation, which demonstrates the predictive power of our proposed method. The datasets used in this work are available at http://csb.shu.edu.cn/SGDB.
Image Denoising Based Bayesian Neural Network Prior Statistical Modeling
LONG Xing-ming
Journal of Chongqing Normal University , 2009,
Abstract: Image processing based wavelet coefficients prior statistical models plays one of great improtant roles in modern image processing techniques. Owing to the defaults of fitting of Gaussian or Laplace functions, a Bayesian model of neural network(BMNN) to study the statistical dependency of wavelet coefficients is firstly presented. Secondly, its parameters are estimated by modern particle samplers (Monte Carlo) methods--Gibbs algorithm according to the characteristics of the suggested BMNN model. Then the relationship of wavelet coefficients is discussed in detail. Finally, a practical application of denoising image by using the BMNN model is demonstrated and the result shows that, on one hand the suggested method can express wavelet coefficients dependency efficiently, on the other, high quality virual effects and peak signal-to-noise ratio (PSNR) are achieved.
Absence of Functional Leptin Receptor Isoforms in the POUND (Leprdb/lb) Mouse Is Associated with Muscle Atrophy and Altered Myoblast Proliferation and Differentiation
Phonepasong Arounleut, Matthew Bowser, Sunil Upadhyay, Xing-Ming Shi, Sadanand Fulzele, Maribeth H. Johnson, Alexis M. Stranahan, William D. Hill, Carlos M. Isales, Mark W. Hamrick
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0072330
Abstract: Objective Leptin receptors are abundant in human skeletal muscle, but the role of leptin in muscle growth, development and aging is not well understood. Here we utilized a novel mouse model lacking all functional leptin receptor isoforms (POUND mouse, Leprdb/lb) to determine the role of leptin in skeletal muscle. Methods and Findings Skeletal muscle mass and fiber diameters were examined in POUND mice, and primary myoblast cultures were used to determine the effects of altered leptin signaling on myoblast proliferation and differentiation. ELISA assays, integrated pathway analysis of mRNA microarrays, and reverse phase protein analysis were performed to identify signaling pathways impacted by leptin receptor deficiency. Results show that skeletal muscle mass and fiber diameter are reduced 30–40% in POUND mice relative to wild-type controls. Primary myoblast cultures demonstrate decreased proliferation and decreased expression of both MyoD and myogenin in POUND mice compared to normal mice. Leptin treatment increased proliferation in primary myoblasts from muscles of both adult (12 months) and aged (24 months) wild-type mice, and leptin increased expression of MyoD and myogenin in aged primary myoblasts. ELISA assays and protein arrays revealed altered expression of molecules associated with the IGF-1/Akt and MAPK/MEK signaling pathways in muscle from the hindlimbs of mice lacking functional leptin receptors. Conclusion These data support the hypothesis that the adipokine leptin is a key factor important for the regulation of skeletal muscle mass, and that leptin can act directly on its receptors in peripheral tissues to regulate cell proliferation and differentiation.
Preparation and Efficacy of a Live Newcastle Disease Virus Vaccine Encapsulated in Chitosan Nanoparticles
Kai Zhao, Gang Chen, Xing-ming Shi, Ting-ting Gao, Wei Li, Yan Zhao, Feng-qiang Zhang, Jin Wu, Xianlan Cui, Yun-Feng Wang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0053314
Abstract: Background Newcastle disease (ND) is a highly contagious viral disease of poultry caused by pathogenic strains of the Newcastle disease virus (NDV). Live NDV vaccines are administered by drinking water, eyedrops or coarse aerosol spray. To further enhance mucosal immune responses, chitosan nanoparticles were developed for the mucosal delivery of a live NDV vaccine. Methodology/Principal Findings A lentogenic live-virus vaccine (strain LaSota) against NDV encapsulated in chitosan nanoparticles were developed using an ionic crosslinking method. Chitosan nanoparticles containing the lentogenic live-virus vaccine against NDV (NDV-CS-NPs) were produced with good morphology, high stability, a mean diameter of 371.1 nm, an encapsulation rate of 77% and a zeta potential of +2.84 mV. The Western blotting analysis showed that NDV structural proteins were detected in NDV-CS-NPs. The virus release assay results of NDV-CS-NPs indicated that NDV was released from NDV-CS-NPs. Chickens immunized orally or intranasally with NDV-CS-NPs were fully protected whereas one out of five chickens immunized with the LaSota live NDV vaccine and three out of five chickens immunized with the inactivated NDV vaccine were dead after challenge with the highly virulent NDV strain F48E9. Conclusions/Significance NDV-CS-NPs induced better protection of immunized specific pathogen free chickens compared to the live NDV vaccine strain LaSota and the inactivated NDV vaccine. This study lays a foundation for the further development of mucosal vaccines and drugs encapsulated in chitosan nanoparticles.
Performance Evaluation of Different Data Value Prediction Schemes
Yong Xiao,Xing-Ming Zhou,

计算机科学技术学报 , 2005,
Abstract: Data value prediction has been widely accepted as an effective mechanism to break data hazards for high performance processor design. Several works have reported promising performance potential. However, there is hardly enough information that is presented in a clear way about performance comparison of these prediction mechanisms. This paper investigates the performance impact of four previously proposed value predictors, namely last value predictor, stride value predictor, two-level value predictor and hybrid (stride two-level) predictor. The impact of misprediction penalty, which has been frequently ignored, is discussed in detail. Several other implementation issues, including instruction window size, issue width and branch predictor are also addressed and simulated. Simulation results indicate that data value predictors act differently under different configurations. In some cases, simpler schemes may be more beneficial than complicated ones. In some particular cases, value prediction may have negative impact on performance.
Research on antimicrobial peptides and their function

XU Ling-long,WANG Yun-feng,SHI Xing-ming,TONG Guang-zhi,

中国生物工程杂志 , 2007,
Abstract: Antimicrobial peptides are a recently discovered type of cationic antimicrobial activity peptides and are widely distributed in nature. More and more evidence indicates they are important host-defense molecules of innate immunity and play a major role in innate and adaptive immunity. Continuing researches are developing clearer understanding of these cationic antimicrbial peptides. In this review, we firstly describe their properties briefly, then focus on their direct antibacterial activities and the function of immunomodulating. Furthermore, the article introduces research on applied foreground for antibacterial peptides.
Language recognition method based on hierarchical space analysis

CHANG Zhen-chao,LIU Bin,SHI Yuan-chao,ZHANG Xing-ming,YANG Zhen-xi,ZHANG Li,
,刘 斌,石远超,张兴明,杨镇西,张 丽

计算机应用研究 , 2012,
Abstract: In automatic spoken language recognition system on telephone conversation speech, differences between train and test utterances on channels, gender and speakers are the key factor of improving the performance of the system. This paper proposed a hierarchical space analysis method. Firstly, it mapped the front-end cepstral features of SDC into the HDLA space, aiming at increasing the discriminability between different languages. Secondly, it selected the characters of adaptive GMM super vector by the method of PCA, which eliminated the influences of different channels, speakers and so on. Experiment results indicate that this method is better for improving the system's performance than the original baseline system.
Aromatic Amino Acid Activation of Signaling Pathways in Bone Marrow Mesenchymal Stem Cells Depends on Oxygen Tension
Mona El Refaey, Qing Zhong, William D. Hill, Xing-Ming Shi, Mark W. Hamrick, Lakiea Bailey, Maribeth Johnson, Jianrui Xu, Wendy B. Bollag, Norman Chutkan, Carlos M. Isales
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0091108
Abstract: The physiologic oxygen pressures inside the bone marrow environment are much lower than what is present in the peripheral circulation, ranging from 1–7%, compared to values as high as 10–13% in the arteries, lungs and liver. Thus, experiments done with bone marrow mesenchymal stem cells (BMMSCs) using standard culture conditions may not accurately reflect the true hypoxic bone marrow microenvironment. However, since aging is associated with an increased generation of reactive oxygen species, experiments done under 21%O2 conditions may actually more closely resemble that of the aging bone marrow environment. Aromatic amino acids are known to be natural anti-oxidants. We have previously reported that aromatic amino acids are potent agonists for stimulating increases in intracellular calcium and phospho-c-Raf and in promoting BMMSC differentiation down the osteogenic pathway. Our previous experiments were performed under normoxic conditions. Thus, we next decided to compare a normoxic (21% O2) vs. a hypoxic environment (3% O2) alone or after treatment with aromatic amino acids. Reverse-phase protein arrays showed that 3% O2 itself up-regulated proliferative pathways. Aromatic amino acids had no additional effect on signaling pathways under these conditions. However, under 21%O2 conditions, aromatic amino acids could now significantly increase these proliferative pathways over this “normoxic” baseline. Pharmacologic studies are consistent with the aromatic amino acids activating the extracellular calcium-sensing receptor. The effects of aromatic amino acids on BMMSC function in the 21% O2 environment is consistent with a potential role for these amino acids in an aging environment as functional anti oxidants.
Numerical Simulation on Electrical-Thermal Properties of Gallium-Nitride-Based Light-Emitting Diodes Embedded in Board
Xing-ming Long,Rui-jin Liao,Jing Zhou
Advances in OptoElectronics , 2012, DOI: 10.1155/2012/495981
Abstract: The electrical-thermal characteristics of gallium-nitride- (GaN-) based light-emitting diodes (LED), packaged by chips embedded in board (EIB) technology, were investigated using a multiphysics and multiscale finite element code, COMSOL. Three-dimensional (3D) finite element model for packaging structure has been developed and optimized with forward-voltage-based junction temperatures of a 9-chip EIB sample. The sensitivity analysis of the simulation model has been conducted to estimate the current and temperature distribution changes in EIB LED as the blue LED chip (substrate, indium tin oxide (ITO)), packaging structure (bonding wire and chip numbers), and system condition (injection current) changed. This method proved the reliability of simulated results in advance and useful material parameters. Furthermore, the method suggests that the parameter match on Shockley's equation parameters, , , and , is a potential method to reduce the current crowding effect for the EIB LED. Junction temperature decreases by approximately 3?K to 10?K can be achieved by substrate thinning, ITO, and wire bonding. The nonlinear-decreasing characteristics of total thermal resistance that decrease with an increase in chip numbers are likely to improve the thermal performance of EIB LED modules. 1. Introduction Numerous simulation studies of gallium-nitride- (GaN-) based light-emitting diodes (LED) have been proposed to overcome the technical challenges in high power LED lighting [1–4]. These include thermal management, electric drive, and light extraction as well as insights into microscopic carrier transfer mechanisms [5], such as efficiency droop [6]. However, most of these studies focused on the electric, optical, or thermal problems of a single LED using a single physical field code, for instance, ANSYS [7], or general-purpose semiconductor optoelectronic simulator, such as SYNOPSYS [8]. These methods bring high-power lighting application inconvenience for simulating multichips packaged LED arrays with multiphysical field and multiscale properties [9]. Based on the proposed chips in board packaging method, where the aluminum- (Al-) core printed circuit boards (Al-PCB) with 9 round holes are embedded with copper reflectors for integrating chips [10] (see Figure 1), the finite element simulation code COMSOL [11] is adopted to address this demand. The multiphysical field and multiscale COMSOL model for the packaging structure has been proposed. The sensitivity analysis of the current crowding, the temperature distribution, and the thermal resistance to parameters of the
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