531 research outputs found

    14-3-3 proteins bind to histone and affect both histone phosphorylation and dephosphorylation

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    Abstract14-3-3 proteins appear to play a critical role in Ca2+-stimulated secretion in permeabilized chromaffin cells. 14-3-3 proteins have been reported to be both stimulators and inhibitors of protein kinase C (PKC). We have found that 14-3-3 proteins, isolated on the basis of their ability to enhance secretory activity, stimulated histone phosphorylation by PKC, but they had no effect on myosin light chain phosphorylation by PKC. 14-3-3 proteins were also found to inhibit the rate of [32P]histone dephosphorylation but not the rate of [32P]myosin light chain dephosphorylation. Cross-linking experiments and affinity chromatography demonstrated that 14-3-3 proteins bind to histones. These results suggest that at least some of the reported effects of 14-3-3 proteins on PKC activity may result from 14-3-3 proteins binding to histone

    Computer-aid molecular docking technology in cereal mycotoxin analysis: Poster

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    Computer-aid molecular docking is a simulative process that receptors and ligands recognize each other through energy matching and geometric matching. It is widely used in bioactive compounds simulative screening and preliminary exploring the bioactivity and toxicity of molecular, which plays important guiding role in toxicity and bioactivity study of molecular entities. In our study, we used the computer-aid molecular docking software-discovery studio 3.1 client to test the mechanism of aflatoxins such as aflatoxin B1, B2, M1, M2, G1, G2 and the results of our experiment help to illustrate the pathway of aflatoxin’s toxication. We also used this technology to test the preliminary toxicity of zearalenone (ZEN) and its two degradation products: a- zearalenol (a-ZOL) and ß-zearalenol (ß-ZOL), which indicates that these three products possessed significant estrogenic activity. The order of the estrogenic activity is: a-zearalenol > zearalenone >ß-zearalenol.Computer-aid molecular docking is a simulative process that receptors and ligands recognize each other through energy matching and geometric matching. It is widely used in bioactive compounds simulative screening and preliminary exploring the bioactivity and toxicity of molecular, which plays important guiding role in toxicity and bioactivity study of molecular entities. In our study, we used the computer-aid molecular docking software-discovery studio 3.1 client to test the mechanism of aflatoxins such as aflatoxin B1, B2, M1, M2, G1, G2 and the results of our experiment help to illustrate the pathway of aflatoxin’s toxication. We also used this technology to test the preliminary toxicity of zearalenone (ZEN) and its two degradation products: a- zearalenol (a-ZOL) and ß-zearalenol (ß-ZOL), which indicates that these three products possessed significant estrogenic activity. The order of the estrogenic activity is: a-zearalenol > zearalenone >ß-zearalenol

    The Income Effect of Minimum Wage for the Underclass: Is It Positive in China?

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    The ongoing debates on the impact of minimum wage have largely focused on the policy's employment effect for its theoretical implications, but the real question at stake here is its income effect, that is, whether or not it can increase the income of the underclass. Previous efforts have mostly relied on various forms of market imperfection to verify the theoretical integrity of this policy, whereas in this article we have raised another Marxian perspective, emphasizing the positive check of minimum wage on overtime work. Classical economists have long recognized the vulnerability of the working class when faced against capitalists, but only Marx has paid special attention to the complicated interaction between hourly/unit wage rates and the length of the working day, proposing that low wage rates would not only hurt workers by forcing them to work overtime, but that it would also hurt the capitalists as a class once large-scale labor degradation kicks in, endangering the very existence of a well-functioning working class for them to employ. Both the inherent conflict of interests between individual capitalists and capitalists as a class and workers' systematic disadvantage against capital serve to call for the intervention of a “visible hand” which is the establishment of a minimum wage. A theoretical model has been proposed to formalize this wage-hour mechanism for the underclass, emphasizing the special constraints they face when making labor supply decisions. We have discussed three different types of income effect, explaining how workers' income might increase with minimum wage and how firms might also benefit from such a process

    Robot Motion Planning Method Based on Incremental High-Dimensional Mixture Probabilistic Model

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    The sampling-based motion planner is the mainstream method to solve the motion planning problem in high-dimensional space. In the process of exploring robot configuration space, this type of algorithm needs to perform collision query on a large number of samples, which greatly limits their planning efficiency. Therefore, this paper uses machine learning methods to establish a probabilistic model of the obstacle region in configuration space by learning a large number of labeled samples. Based on this, the high-dimensional samples' rapid collision query is realized. The influence of number of Gaussian components on the fitting accuracy is analyzed in detail, and a self-adaptive model training method based on Greedy expectation-maximization (EM) algorithm is proposed. At the same time, this method has the capability of online updating and can eliminate model fitting errors due to environmental changes. Finally, the model is combined with a variety of sampling-based motion planners and is validated in multiple sets of simulations and real world experiments. The results show that, compared with traditional methods, the proposed method has significantly improved the planning efficiency

    The ABCT31 Transporter Regulates the Export System of Phenylacetic Acid as a Side-Chain Precursor of Penicillin G in Monascus ruber M7

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    The biosynthesis of penicillin G (PG) is compartmentalized, and the transportation of the end and intermediate products, and substrates (precursors) such as L-cysteine (L-Cys), L-valine (L-Val) and phenylacetic acid (PAA) requires traversing membrane barriers. However, the transportation system of PAA as a side chain of PG are unclear yet. To discover ABC transporters (ABCTs) involved in the transportation of PAA, the expression levels of 38 ABCT genes in the genome of Monascus ruber M7, culturing with and without PAA, were examined, and found that one abct gene, namely abct31, was considerably up-regulated with PAA, indicating that abct31 may be relative with PAA transportation. Furthermore the disruption of abct31 was carried out, and the effects of two PG substrate's amino acids (L-Cys and L-Val), PAA and some other weak acids on the morphologies and production of secondary metabolites (SMs) of Δabct31 and M. ruber M7, were performed through feeding experiments. The results revealed that L-Cys, L-Val and PAA substantially impacted the morphologies and SMs production of Δabct31 and M. ruber M7. The UPLC-MS/MS analysis findings demonstrated that Δabct31 did not interrupt the synthesis of PG in M. ruber M7. According to the results, it suggests that abct31 is involved in the resistance and detoxification of the weak acids, including the PAA in M. ruber M7
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