975 research outputs found

    Dynamical modeling of the network controlling meiotic divisions

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    Mitosis and meiosis are both controlled by oscillations in the activities of cyclin- dependent kinase 1 (Cdk1) and the anaphase-promoting complex/cyclosome (APC/C). Nevertheless, these types of cell division differ in fundamental aspects. In mitosis, Cdk1 and APC/C-Cdc20 form a cyclical system whereby each cycle recreates the starting conditions for the next one. As a result, chromosomes duplication during S-phase alternates with chromosome segregation during M-phase. By contrast, meiosis is a linear pathway of precisely two waves of Cdk1 and APC/C-Cdc20 activity that govern the progression through one S-phase followed by two M-phases and a differentiation program dedicated to the formation of gametes or spores. Despite recent advances in our understanding of meiosis, it is unclear how the mitotic cell cycle engine is modified to regulate the two meiotic divisions. Therefore, we combined mathematical modeling with experimental studies on budding yeast to describe the general mechanism of progression through meiotic divisions with special emphasis on the regulation of the exit from meiosis II. We showed that progression through meiotic divisions is driven by a well conserved Cdk1-APC/C-Cdc20 oscillator complemented by a set of meiotic regulators in order to perform two, and only two, meiotic divisions. The machinery that terminates the oscillations after completion of meiosis II consists of a meiosis I-specific mechanism that unleashes the irreversible inactivation of M-phase regulators after the second wave of APC/C-Cdc20 activity, thereby preventing cells from undergoing an additional third division. Here, we describe the roles of the two main APC/C co- activators, Ama1 and Cdc20, in triggering the exit from meiosis and in terminating the oscillations. We show that Ama1 acts as a terminator of the meiotic oscillations, while Cdc20 is important for the proper timing of the exit from meiosis II. We propose that in the absence of Ama1, the properties of the system change, allowing Cdc20 to adopt the function of the terminator precisely after meiosis II. In addition, we evaluate an APC/C-independent mechanisms, which might be important for preventing a third meiotic division

    Gonadotropin and kisspeptin gene expression, but not GnRH, are impaired in cFOS deficient mice.

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    cFOS is a pleiotropic transcription factor, which binds to the AP1 site in the promoter of target genes. In the pituitary gonadotropes, cFOS mediates induction of FSHβ and GnRH receptor genes. Herein, we analyzed reproductive function in the cFOS-deficient mice to determine its role in vivo. In the pituitary cFOS is necessary for gonadotropin subunit expression, while TSHβ is unaffected. Additionally, cFOS null animals have the same sex-steroid levels, although gametogenesis is impeded. In the brain, cFOS is not necessary for GnRH neuronal migration, axon targeting, cell number, or mRNA levels. Conversely, cFOS nulls, particularly females, have decreased Kiss1 neuron numbers and lower Kiss1 mRNA levels. Collectively, our novel findings suggest that cFOS plays a cell-specific role at multiple levels of the hypothalamic-pituitary-gonadal axis, affecting gonadotropes but not thyrotropes in the pituitary, and kisspeptin neurons but not GnRH neurons in the hypothalamus, thereby contributing to the overall control of reproduction

    Drugs In the Workplace: A Manager\u27s Guide

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    Drugs in the workplace is a growing problem that threatens a valuable human resource - the employee. Managers in the hospitality industry can take a proactive stance in meeting the problem head on. The authors discuss what managers can do

    NUMERICAL PREDICTION OF THE COMPONENT-RATIO-DEPENDENT COMPRESSIVE STRENGTH OF BONE CEMENT

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    Changes in the compression strength of the PMMA bone cement with a variable powder/liquid component mix ratio were investigated. The strength test data served to develop basic mathematical models and an artificial neural network was employed for strength predictions. The empirical and numerical results were compared to determine modelling errors and assess the effectiveness of the proposed methods and models. The advantages and disadvantages of mathematical modelling are discussed

    Nonlinear analysis of the ripping head power time series

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    We investigate the power of a ripping head in the process of concrete cutting. Using nonlinear embedding methods we study the corresponding time series obtained during the cutting process. The calculated maximal Lyapunov exponent indicates the exponential divergence typical for chaotic or stochastic systems. The recurrence plots technique has been used to get nonlinear process statistics for identification and description of nonlinear dynamics, lying behind the cutting process
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