216 research outputs found

    Sequential design of computer experiments for the estimation of a probability of failure

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    This paper deals with the problem of estimating the volume of the excursion set of a function f:Rd→Rf:\mathbb{R}^d \to \mathbb{R} above a given threshold, under a probability measure on Rd\mathbb{R}^d that is assumed to be known. In the industrial world, this corresponds to the problem of estimating a probability of failure of a system. When only an expensive-to-simulate model of the system is available, the budget for simulations is usually severely limited and therefore classical Monte Carlo methods ought to be avoided. One of the main contributions of this article is to derive SUR (stepwise uncertainty reduction) strategies from a Bayesian-theoretic formulation of the problem of estimating a probability of failure. These sequential strategies use a Gaussian process model of ff and aim at performing evaluations of ff as efficiently as possible to infer the value of the probability of failure. We compare these strategies to other strategies also based on a Gaussian process model for estimating a probability of failure.Comment: This is an author-generated postprint version. The published version is available at http://www.springerlink.co

    Localisation des gènes MPI, PKM2, NP sur le chromosome 3 du porc (Sus scrofa L.) et analyse cytogénétique d'une lignée de hamster chinois issue de la DON (wg3h)

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    L’analyse par électrophorèse de clones cellulaires hybrides interspécifiques porc-hamster chinois nous a permis de démontrer que les gènes MPI, PKM2, NP sont synténiques chez le porc (GELLIN et al., 1981). Le sous-clonage d’un de ces hybrides, l’analyse de l’expression de ces gènes dans les sous-clones et l’analyse simultanée de leur caryotype permet de localiser MPI, PKM2, NP sur le chromosome 3 du porc. Cette étude nécessite une connaissance précise du caryotype de la lignée permanente de hamster chinois utilisée (wg3h).The MPI, PKM2 and NP genes were shown to be syntenic in pigs after electrophoretic analysis of interspecific pig chinese hamster somatic cell hybrids (GELLIN et at., 1981). The expression of these genes was studied, together with karyotyping in subclones of one such parental hybrid clone derived from the permanent Chinese (hamster line wg3). Since the karyotype of this line is well understood, we were able to assign the genes MPI, PKM2 and NP to pig chromosome 3

    On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints

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    We are often interested in identifying the feasible subset of a decision space under multiple constraints to permit effective design exploration. If determining feasibility required computationally expensive simulations, the cost of exploration would be prohibitive. Bayesian search is data-efficient for such problems: starting from a small dataset, the central concept is to use Bayesian models of constraints with an acquisition function to locate promising solutions that may improve predictions of feasibility when the dataset is augmented. At the end of this sequential active learning approach with a limited number of expensive evaluations, the models can accurately predict the feasibility of any solution obviating the need for full simulations. In this paper, we propose a novel acquisition function that combines the probability that a solution lies at the boundary between feasible and infeasible spaces (representing exploitation) and the entropy in predictions (representing exploration). Experiments confirmed the efficacy of the proposed function

    Sticky/Citron kinase maintains proper RhoA localization at the cleavage site during cytokinesis.

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    In many organisms, the small guanosine triphosphatase RhoA controls assembly and contraction of the actomyosin ring during cytokinesis by activating different effectors. Although the role of some RhoA effectors like formins and Rho kinase is reasonably understood, the functions of another putative effector, Citron kinase (CIT-K), are still debated. In this paper, we show that, contrary to previous models, the Drosophila melanogaster CIT-K orthologue Sticky (Sti) does not require interaction with RhoA to localize to the cleavage site. Instead, RhoA fails to form a compact ring in late cytokinesis after Sti depletion, and this function requires Sti kinase activity. Moreover, we found that the Sti Citron-Nik1 homology domain interacts with RhoA regardless of its status, indicating that Sti is not a canonical RhoA effector. Finally, Sti depletion caused an increase of phosphorylated myosin regulatory light chain at the cleavage site in late cytokinesis. We propose that Sti/CIT-K maintains correct RhoA localization at the cleavage site, which is necessary for proper RhoA activity and contractile ring dynamics

    Methylation of WTH3, a possible drug resistant gene, inhibits p53 regulated expression

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    <p>Abstract</p> <p>Background</p> <p>Previous results showed that over-expression of the <it>WTH3 </it>gene in MDR cells reduced <it>MDR1 </it>gene expression and converted their resistance to sensitivity to various anticancer drugs. In addition, the <it>WTH3 </it>gene promoter was hypermethylated in the MCF7/AdrR cell line and primary drug resistant breast cancer epithelial cells. <it>WTH3 </it>was also found to be directly targeted and up regulated by the <it>p53 </it>gene. Furthermore, over expression of the <it>WTH3 </it>gene promoted the apoptotic phenotype in various host cells.</p> <p>Methods</p> <p>To further confirm <it>WTH3</it>'s drug resistant related characteristics, we recently employed the small hairpin RNA (shRNA) strategy to knockdown its expression in HEK293 cells. In addition, since the <it>WTH3 </it>promoter's p53-binding site was located in a CpG island that was targeted by methylation, we were interested in testing the possible effect this epigenetic modification had on the <it>p53 </it>transcription factor relative to <it>WTH3 </it>expression. To do so, the <it>in vitro </it>methylation method was utilized to examine the <it>p53 </it>transgene's influence on either the methylated or non-methylated <it>WTH3 </it>promoter.</p> <p>Results</p> <p>The results generated from the gene knockdown strategy showed that reduction of <it>WTH3 </it>expression increased <it>MDR1 </it>expression and elevated resistance to Doxorubicin as compared to the original control cells. Data produced from the methylation studies demonstrated that DNA methylation adversely affected the positive impact of <it>p53 </it>on <it>WTH3 </it>promoter activity.</p> <p>Conclusion</p> <p>Taken together, our studies provided further evidence that <it>WTH3 </it>played an important role in MDR development and revealed one of its transcription regulatory mechanisms, DNA methylation, which antagonized <it>p53</it>'s positive impact on <it>WTH3 </it>expression.</p

    WTH3 is a direct target of the p53 protein

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    Previous results showed that overexpression of the WTH3 gene in multidrug resistance (MDR) cells reduced MDR1 gene expression and converted their resistance to sensitivity to various anticancer drugs. The WTH3 gene promoter was found to be differentially regulated in paired MDR vs non-MDR MCF7 cells owing to epigenetic modifications and transcription factor modulations. To understand further the mechanisms that govern WTH3's differential expression, we uncovered a p53-binding site in its promoter, which indicated that WTH3 could be regulated by the p53 gene. This hypothesis was then tested by different strategies. The resulting data revealed that (1) the WTH3 promoter was upregulated by the p53 transgene in diverse host cells; (2) there was a correlation between WTH3 expression levels and p53 gene status in a cell line panel; (3) a WTH3 promoter region was directly targeted by the p53 protein in vitro and in vivo. In addition, overexpression of the WTH3 gene promoted the apoptotic phenotype in host cells. On the basis of these findings, we believe that the negative role played by the WTH3 gene in MDR development is through its proapoptotic potential that is regulated by multiple mechanisms at the transcription level, and one of these mechanisms is linked to the p53 gene
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