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Search Results: 1 - 10 of 34938 matches for " Xin Ji "
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New Insight into the Graphene Based Films Prepared from Carbon Fibers  [PDF]
Yan-Xiang Wang, Wen-Xin Fan, Guo-Li Wang, Min-Xia Ji
Materials Sciences and Applications (MSA) , 2011, DOI: 10.4236/msa.2011.27113
Abstract: In this work, ultrathin sections from longitudinal polyacrylonitrile (PAN) based T700 and T300 carbon fibers were prepared by ultramicrotomy, a promising graphene based thin films were developed in one step at ambient temperature. It is investigated that the network-graphene planes composed with carbon atoms are partly straight and partly twisted in the thin films prepared from T700 carbon fibers, the distance between the carbon atoms of network-graphene plane decreases, the order design of graphene in the films prepared from T700 carbon fibers is denser and its arrangement shows a preferred orientation along the drawing direction, its consistency of the neighboring graphene based planes is better, moreover, the relative content of the forming SP2-hybridized orbit of carbon atoms in the films prepared from T700 carbon fibers is higher, in the other words, the fact of the graphene based film prepared from carbon fibers without having the characteristic of skin-core structure has been verified.
Single-Cell Profiling Reveals the Origin of Phenotypic Variability in Adipogenesis
Thuc T. Le, Ji-Xin Cheng
PLOS ONE , 2009, DOI: 10.1371/journal.pone.0005189
Abstract: Phenotypic heterogeneity in a clonal cell population is a well-observed but poorly understood phenomenon. Here, a single-cell approach is employed to investigate non-mutative causes of phenotypic heterogeneity during the differentiation of 3T3-L1 cells into fat cells. Using coherent anti-Stokes Raman scattering microscopy and flow cytometry, adipogenic gene expression, insulin signaling, and glucose import are visualized simultaneously with lipid droplet accumulation in single cells. Expression of adipogenic genes PPARγ, C/EBPα, aP2, LP2 suggests a commitment to fat cell differentiation in all cells. However, the lack of lipid droplet in many differentiating cells suggests adipogenic gene expression is insufficient for lipid droplet formation. Instead, cell-to-cell variability in lipid droplet formation is dependent on the cascade responses of an insulin signaling pathway which includes insulin sensitivity, kinase activity, glucose import, expression of an insulin degradation enzyme, and insulin degradation rate. Increased and prolonged insulin stimulation promotes lipid droplet accumulation in all differentiating cells. Single-cell profiling reveals the kinetics of an insulin signaling cascade as the origin of phenotypic variability in drug-inducible adipogenesis.
Wnt/beta-catenin signaling activates microRNA-181 expression in hepatocellular carcinoma
Junfang Ji, Taro Yamashita, Xin W Wang
Cell & Bioscience , 2011, DOI: 10.1186/2045-3701-1-4
Abstract: Using both western blot and quantitative reverse transcriptase-PCR analyses, we found that the expression of all four microRNA-181 family members was positively correlated with β-catenin expression in HCC cell lines. MicroRNA-181 expression could be directly induced upon an activation of Wnt/β-catenin signaling, which includes Wnt10B overexpression, inhibition of GSK3β signaling by LiCl, or forced expression of β-catenin/Tcf4. Moreover, microRNA-181 expression was inhibited upon an inactivation of Wnt/β-catenin signaling by an induction of adenomatosis polyposis coli (APC) expression or silencing β-catenin via RNA interference. In addition, seven putative β-catenin/Tcf4 binding sites were identified in the promoter region of the microRNA-181a-2 and microRNA-181b-2 transcripts. Consistently, we found that Tcf4 interacted with these regions in vivo using chromatin immunoprecipitation assay.Taken together, our results demonstrate that microRNA-181s are transcriptionally activated by the Wnt/beta-catenin signaling pathway in HCC.Hepatocellular carcinoma (HCC) is the fifth most common malignant cancer and the third leading cause of cancer death worldwide with the observable heterogeneity in its morphology, clinical behaviour, and molecular profiles [1]. Studies on HCC molecular profiling have revealed many HCC-associated deregulated genes and signaling pathways, in which Wnt/β-catenin signaling has been proposed to be critical [2-9]. We recently found that isolated HCC cells using a cell surface marker EpCAM (CD326) from alpha-fetoprotein (AFP) positive HCC cases are hepatic cancer stem cells (HepCSCs), where an activation of Wnt/β-catenin signaling is a major feature [5].MicroRNAs (miRNAs, miRs) are a class of small, non-coding, endogenous and functional RNAs. Mature miRNAs are generated from sequential processing of primary miRNA transcripts by Drosha and Dicer, then serve as posttranscriptional regulators of gene expression in certain biological events including carci
The clinical potential of microRNAs
Anuradha Budhu, Junfang Ji, Xin W Wang
Journal of Hematology & Oncology , 2010, DOI: 10.1186/1756-8722-3-37
Abstract: MicroRNAs are a group of small noncoding functional RNAs that are approximately 22 nucleotides in length [1]. MicroRNAs are transcribed by RNA polymerase II or III as longer primary microRNAs termed pri-microRNA. This molecule is then modified in the nucleus through capping and polyadenylation and subsequently cleaved into smaller segments by Drosha, an RNAseIII enzyme. This forms a hairpin precursor of approximately 60-70 nucleotides, termed pre-microRNA, which is exported to the cytoplasm and modified by another enzyme, the RNAseII endonuclease, Dicer, to form a duplex of mature microRNA. One of the microRNA strands of the duplex is loaded onto the RNA-induced silencing complex (RISC) where it is then able to either cleave RNA targets or repress protein translation dependent upon its complementarity to the target mRNA. Through their binding to target mRNA sequences, microRNAs have a large number of biologically diverse functions. They have the capacity to control the expression of many downstream genes which can affect several cell regulatory pathways, such as cell growth, differentiation, mobility and apoptosis.Several techniques have been developed to examine microRNA expression. One of the most predominant methods in the literature is microRNA microarrays. Microarray technology offers a powerful high-throughput tool to monitor the expression of thousands of microRNAs at once [2]. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is another reliable and highly sensitive technique for microRNA detection, which is simple and robust, and only requires very small amounts of input total RNA [3]. Standard northern blotting has also been employed to detect and validate microRNA expression levels [4]. In addition, techniques are available to detect microRNAs by in situ hybridization. Although various microRNAs have been detected from tissue sources, these methods require invasive techniques to collect the starting material. Therefore, procedures hav
SPARC Expression as a Prognostic Marker in Pancreatic Ductal Adenocarcinoma  [PDF]
Jianxing Zhang, Peiyu Ji, Xin Fan, Xiaoyan Ma, Xuqing Wang, Zhengfa Mao
Open Journal of Gastroenterology (OJGas) , 2018, DOI: 10.4236/ojgas.2018.84013
Abstract: Background: The aim is to investigate whether secreted protein acidic and rich in cysteine (SPARC) expression could be considered as an independent prognostic factor in pancreatic ductal adenocarcinoma (PDAC). Methods: The expression of SPARC in the tumor species was detected by immunochemistry and the effect of SPARC on the prognosis was analyzed by Kaplan-Meier and Cox proportional hazard models. Results: Positive SPARC expressions recognized in tumor and stroma were 31.33% and 64.66% respectively. The expression of SPARC in stroma was closely correlated with differentiation, vascular invasion and was an indicator for predicting poor outcome after surgery in Kaplan-Meier analysis. Univariate analysis and multivariate analysis showed the following factors to be significant: perineural invasion (HR = 2.098, 95% CI: 1.144 - 3.847) and stroma positive expression of SPARC (HR = 2.120, 95% CI: 1.307 - 3.440). Conclusions: High expression of SPARC in stroma was a promising pathological marker to predict the poor outcome in patients with pancreatic ductal adenocarcinoma.
Defending P2P from flooding based DDoS
基于P2P泛洪DDoS攻击的防范研究*

GENG Ji,MA Xin xin,
耿技
,马新新

计算机应用研究 , 2009,
Abstract: This paper proposed a trust and reputation model based on Markov process,which constructed trust relationship among peers.In this model,well-behavior peers possessed ability to identify bad-behavior peers to intermit transmission of malicious message through the interaction of trust and reputation information established among peers,so that the networks could resist on the DDoS attack.Simulation result shows that the model of provides an efficient isolation on malicious message amount and promotion on toler...
Performance of a Parallel Finite Difference Atmospheric General Circulation Model
一个有限差分大气环流模式的并行效率

Zhang Xin,Wang Bin,Ji Zhongzhen,
Zhang Xin
,Wang Bin,Ji Zhongzhen

大气科学进展 , 2001,
Abstract: A new version of the Institute of Atmospheric Physics (IAP) 9-Layer (9L) atmospheric general circulation model (AGCM) suitable for Massively Parallel Processor (MPP) has been developed. This paper presents the principles of the parallel code design and examines its performance on a variety of state-of-the-art parallel computers in China. Domain decomposition strategy is used to achieve parallelism that is implemented by Message Passing Interface (MPI). Only the one dimensional domain decomposition algorithm is shown to scale favorably as the number of processors is increased.
Fuzzy Filter Spectrum of a BCK Algebra
Xiao Long Xin,Wei Ji,Xiu Juan Hua
International Journal of Mathematics and Mathematical Sciences , 2011, DOI: 10.1155/2011/795934
Abstract: The notion of fuzzy s-prime filters of a bounded BCK-algebra is introduced. We discuss the relation between fuzzy s-prime filters and fuzzy prime filters. By the fuzzy s-prime filters of a bounded commutative BCK-algebra , we establish a fuzzy topological structure on . We prove that the set of all fuzzy s-prime filters of a bounded commutative BCK-algebra forms a topological space. Moreover, we show that the set of all fuzzy s-prime filters of a bounded implicative BCK-algebra is a Hausdorff space.
Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) Studies on α1A-Adrenergic Receptor Antagonists Based on Pharmacophore Molecular Alignment
Xin Zhao,Minsheng Chen,Biyun Huang,Hong Ji,Mu Yuan
International Journal of Molecular Sciences , 2011, DOI: 10.3390/ijms12107022
Abstract: The α 1A-adrenergic receptor (α 1A-AR) antagonist is useful in treating benign prostatic hyperplasia, lower urinary tract symptoms, and cardiac arrhythmia. Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed on a set of α 1A-AR antagonists of N-aryl and N-nitrogen class. Statistically significant models constructed from comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were established based on a training set of 32 ligands using pharmacophore-based molecular alignment. The leave-one-out cross-validation correlation coefficients were q 2 CoMFA = 0.840 and q 2 CoMSIA = 0.840. The high correlation between the cross-validated/predicted and experimental activities of a test set of 12 ligands revealed that the CoMFA and CoMSIA models were robust ( r2pred /CoMFA = 0.694; r2pred /CoMSIA = 0.671). The generated models suggested that electrostatic, hydrophobic, and hydrogen bonding interactions play important roles between ligands and receptors in the active site. Our study serves as a guide for further experimental investigations on the synthesis of new compounds. Structural modifications based on the present 3D-QSAR results may lead to the discovery of other α 1A-AR antagonists.
Coherent anti-Stokes Raman scattering imaging of lipids in cancer metastasis
Thuc T Le, Terry B Huff, Ji-Xin Cheng
BMC Cancer , 2009, DOI: 10.1186/1471-2407-9-42
Abstract: Coherent anti-Stokes Raman scattering (CARS) microscopy is employed to study cancer cell behaviours in excess lipid environments in vivo and in vitro. The impacts of a high fat diet on cancer development are evaluated in a Balb/c mice cancer model. Intravital flow cytometry and histology are employed to enumerate cancer cell escape to the bloodstream and metastasis to lung tissues, respectively. Cancer cell motility and tissue invasion capability are also evaluated in excess lipid environments.CARS imaging reveals intracellular lipid accumulation is induced by excess free fatty acids (FFAs). Excess FFAs incorporation onto cancer cell membrane induces membrane phase separation, reduces cell-cell contact, increases surface adhesion, and promotes tissue invasion. Increased plasma FFAs level and visceral adiposity are associated with early rise in circulating tumour cells and increased lung metastasis. Furthermore, CARS imaging reveals FFAs-induced lipid accumulation in primary, circulating, and metastasized cancer cells.Lipid-rich tumours are linked to cancer metastasis through FFAs-induced physical perturbations on cancer cell membrane. Most importantly, the revelation of lipid-rich circulating tumour cells suggests possible development of CARS intravital flow cytometry for label-free detection of early-stage cancer metastasis.Excess lipid in the body has been shown to aggravate cancer. Animal studies showed that high fat diets and obesity enhanced cancer metastasis [1]. In human, a body mass index above 30 kg/m2 is strongly correlated with increased risk for various types of cancer [2]. It is generally accepted that diet and obesity are accountable for 30% of preventable causes of cancer [2]. Indeed, diet, nutrition, and physical activity are widely promoted as effective means for cancer prevention by the World Cancer Research Fund and the American Institute for Cancer Research [3]. Nonetheless, the relationship between diet and cancer incidence and mortality in huma
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