489 research outputs found

    The effects of quercetin and kaempferol on multidrug resistance and the expression of related genes in human erythroleukemic K562/A cells

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    Leukemia chemotherapy is believed to be impeded by multidrug resistance (MDR). Some compounds of flavonoid molecules were previously shown to inhibit drug transporter Pgp or induce apoptosis to sensitize MDR tumors. In this study, we attempted to investigate the possibility and mechanism of quercetin and kaempferol, flavonoid molecules, in reversing MDR. K562/A cells were cultured in vitro with the flavonoids as single and in combination respectively. Cell growth inhibition and adriamycin (ADR) sensitivity were detected by 3-[4,5-dimethylthiazol-2-yl]-2,5 -diphenyltetrazolium bromide (MTT) assay. Cell apoptosis was examined by Annexin V/PI staining method. Moreover, the expression of related genes for drug transporters and apoptosis was also tested after incubation with resveratrol for the first time. Results show a dose dependent manner and synergistic effect of the two compounds on K562/A. Furthermore, some of the genes in drug transporter families such as ATP-binding cassette (ABC) and solute carrier (SLC) and apoptosis related genes such as Bcl-2、tumor necrosis factor (TNF) and tumor necrosis factor receptor (TNFR) families were regulated. The experiment indicates that quercetin and kaempferol may be used as reveratrol in leukemia chemotherapy, but their interaction and difference should be noticed.Key words: Flavonoids, leukemia, multidrug resistance, polymerase chain reaction (PCR) array

    Neuronal Circuitry Mechanisms Regulating Adult Mammalian Neurogenesis

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    The adult mammalian brain is a dynamic structure, capable of remodeling in response to various physiological and pathological stimuli. One dramatic example of brain plasticity is the birth and subsequent integration of newborn neurons into the existing circuitry. This process, termed adult neurogenesis, recapitulates neural developmental events in two specialized adult brain regions: the lateral ventricles of the forebrain. Recent studies have begun to delineate how the existing neuronal circuits influence the dynamic process of adult neurogenesis, from activation of quiescent neural stem cells (NSCs) to the integration and survival of newborn neurons. Here, we review recent progress toward understanding the circuit-based regulation of adult neurogenesis in the hippocampus and olfactory bulb

    Multi-authority attribute-based keyword search over encrypted cloud data

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    National Research Foundation (NRF) Singapore; AXA Research Fun

    Towards Domain-Oriented Semi-Automated Model Matching for Supporting Data Exchange

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    The process of matching data represented in two different data models is a longstanding issue in the exchange of data between different software systems. While the traditional manual matching approach cannot meet today’s demands on data exchange, research shows that a fully automated generic approach for model matching is not likely, and generic semi-automated approaches are not easy to implement. In this paper, we present an approach that focuses on matching data models in a specific domain. The approach combines a basic model matching approach and a version matching approach to deduce new matching rules to enable data transfer between two evolving data models

    Si3AlP: A new promising material for solar cell absorber

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    First-principles calculations are performed to study the structural and optoelectronic properties of the newly synthesized nonisovalent and lattice-matched (Si2)0.6(AlP)0.4 alloy [T. Watkins et al., J. Am. Chem. Soc. 2011, 133, 16212.] We find that the ordered CC-Si3AlP with a basic unit of one P atom surrounded by three Si atoms and one Al atom is the most stable one within the experimentally observed unit cell.1 Si3AlP has a larger fundamental band gap and a smaller direct band gap than Si, thus it has much higher absorption in the visible light region. The calculated properties of Si3AlP suggest that it is a promising candidate for improving the performance of the existing Si-based solar cells. The understanding on the stability and band structure engineering obtained in this study is general and can be applied for future study of other nonisovalent and lattice-matched semiconductor alloys

    Magnetic structure and ferroelectric polarization of MnWO4 investigated by density functional calculations and classical spin analysis

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    The ordered magnetic states of MnWO4 at low temperatures were examined by evaluating the spin exchange interactions between the Mn2+ ions of MnWO4 on the basis of first principles density functional calculations and by performing classical spin analysis with the resulting spin exchange parameters. Our work shows that the spin exchange interactions are frustrated within each zigzag chain of Mn2+ ions along the c-direction and between such chains of Mn2+ ions along the a-direction. This explains the occurrence of a spiral-spin order along the c- and a-directions in the incommensurate magnetic state AF2, and that of a uudd spin order along the c- and a-directions in the commensurate magnetic state AF1. The ferroelectric polarization of MnWO4 in the spiral-spin state AF2 was examined by performing Berry phase calculations for a model superstructure to find that the ferroelectric polarization occurs along the b-direction, in agreement with experiment.Comment: 30 pages, 10 figures, 4 figure

    Finding multiple target optimal intervention in disease-related molecular network

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    Drugs against multiple targets may overcome the many limitations of single targets and achieve a more effective and safer control of the disease. Numerous high-throughput experiments have been performed in this emerging field. However, systematic identification of multiple drug targets and their best intervention requires knowledge of the underlying disease network and calls for innovative computational methods that exploit the network structure and dynamics. Here, we develop a robust computational algorithm for finding multiple target optimal intervention (MTOI) solutions in a disease network. MTOI identifies potential drug targets and suggests optimal combinations of the target intervention that best restore the network to a normal state, which can be customer designed. We applied MTOI to an inflammation-related network. The well-known side effects of the traditional non-steriodal anti-inflammatory drugs and the recently recalled Vioxx were correctly accounted for in our network model. A number of promising MTOI solutions were found to be both effective and safer

    Chiral patterns arising from electrostatic growth models

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    Recently, unusual and strikingly beautiful seahorse-like growth patterns have been observed under conditions of quasi-two-dimensional growth. These `S'-shaped patterns strongly break two-dimensional inversion symmetry; however such broken symmetry occurs only at the level of overall morphology, as the clusters are formed from achiral molecules with an achiral unit cell. Here we describe a mechanism which gives rise to chiral growth morphologies without invoking microscopic chirality. This mechanism involves trapped electrostatic charge on the growing cluster, and the enhancement of growth in regions of large electric field. We illustrate the mechanism with a tree growth model, with a continuum model for the motion of the one-dimensional boundary, and with microscopic Monte Carlo simulations. Our most dramatic results are found using the continuum model, which strongly exhibits spontaneous chiral symmetry breaking, and in particular finned `S' shapes like those seen in the experiments.Comment: RevTeX, 12 pages, 9 figure
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