26 research outputs found

    Double conditional human embryonic kidney cell line based on FLP and ΦC31 mediated transgene integration

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    <p>Abstract</p> <p>Background</p> <p>FLP recombinase mediated integration into a pre-integrated FRT site is routinely used to generate highly reproducible stable transgenic cell lines. In this study, we broaden the system of site specific integration by introducing ΦC31 integrase mediated integration into attP sites.</p> <p>Results</p> <p>We generated a HEK293 host cell line with a single copy FRT as well as an attP site allowing site specific integration of two distinct transgenes. To achieve conditional control, we used the tetracycline and Shld1 inducible systems. By introducing fluorescent reporters we show that integration and induction of two transgenes are completely independent. We applied this new technique to investigate the effect of HNF4α on proliferation of HEK293 cells by introducing HNF4α into each integration site. We obtained in two independent cell lines highly reproducible results that prove the usefulness of this novel HEK-attP/FRT cell line.</p> <p>Conclusions</p> <p>In this study we have established and applied a HEK-attP/FRT cell line that allows site specific integration of two conditional transgenes using the FLP recombinase as well as the ΦC31 integrase.</p

    Sensitivity analysis for systems of differential-algebraic equations with applications to predictive control and parameter estimation

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    Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models of many real-life processes consisting of the interconnection of different physical components with their own dynamic behavior. Such interconnected systems can be described by separate subsystem models, for instance related to electric drives and mechanical components in power trains. Interface conditions are used to connect these subsystems by a description of power flow or, for example, geometric side conditions imposed by links or joints. In this paper, procedures for the computation of state sensitivities with respect to parameters and control inputs are described for DAE formulations of control applications. Procedures for sensitivity analysis are used to investigate the performance of control systems and to derive novel predictive control approaches aiming at accurate trajectory tracking and rejection of external disturbances, as well as procedures for state and parameter estimation

    A Kir6.2 mutation causing neonatal diabetes impairs electrical activity and insulin secretion from INS-1 beta-cells.

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    ATP-sensitive K(+) channels (K(ATP) channels) couple beta-cell metabolism to electrical activity and thereby play an essential role in the control of insulin secretion. Gain-of-function mutations in Kir6.2 (KCNJ11), the pore-forming subunit of this channel, cause neonatal diabetes. We investigated the effect of the most common neonatal diabetes mutation (R201H) on beta-cell electrical activity and insulin secretion by stable transfection in the INS-1 cell line. Expression was regulated by placing the gene under the control of a tetracycline promoter. Transfection with wild-type Kir6.2 had no effect on the ATP sensitivity of the K(ATP) channel, whole-cell K(ATP) current magnitude, or insulin secretion. However, induction of Kir6.2-R201H expression strongly reduced K(ATP) channel ATP sensitivity (the half-maximal inhibitory concentration increased from approximately 20 mumol/l to approximately 2 mmol/l), and the metabolic substrate methyl succinate failed to close K(ATP) channels or stimulate electrical activity and insulin secretion. Thus, these results directly demonstrate that Kir6.2 mutations prevent electrical activity and insulin release from INS-1 cells by increasing the K(ATP) current and hyperpolarizing the beta-cell membrane. This is consistent with the ability of the R201H mutation to cause neonatal diabetes in patients. The relationship between K(ATP) current and the membrane potential reveals that very small changes in current amplitude are sufficient to prevent hormone secretion

    Tissue-specific transcription factor HNF4alpha inhibits cell proliferation and induces apoptosis in the pancreatic INS-1 beta-cell line

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    Hepatocyte nuclear factor 4alpha (HNF4alpha) is a tissue-specific transcription factor expressed in many cell types, including pancreatic beta-cells. Mutations in the HNF4alpha gene in humans give rise to maturity-onset diabetes of the young (MODY1) characterized by defective insulin secretion by beta-cells. To elucidate the mechanism underlying this disease, we introduced the splice form HNF4alpha2 or HNF4alpha8 into the rat beta-cell line INS-1. Upon tetracycline-induced expression, both HNF4alpha isoforms caused distinct changes in cell morphology and a massive loss of cell numbers that was correlated with reduced proliferation and induced apoptosis. This differential activity was reflected in oligonucleotide microarray analysis that identified more genes affected by HNF4alpha2 compared to HNF4alpha8, and suggests that both isoforms regulate largely the same set of genes, with HNF4alpha2 being a stronger transactivator. We verified the induction of selected transcripts by real-time RT-PCR, including KAI1 and AIF, both known to have apoptotic potential. By establishing cell lines with inducible expression of these target genes, we deduce that both factors are insufficient to induce apoptosis. We propose that the anti-proliferative and apoptotic properties of HNF4alpha may be an essential feature impaired in MODY1 and possibly also in type 2 diabetes
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