Protection Analysis

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Ted K Choi - One of the best experts on this subject based on the ideXlab platform.

  • expression of the human beta amyloid precursor protein gene from a yeast artificial chromosome in transgenic mice
    Proceedings of the National Academy of Sciences of the United States of America, 1993
    Co-Authors: Barbara E Pearson, Ted K Choi
    Abstract:

    Abstract One hallmark of Alzheimer disease is the formation in the brain of amyloid plaques containing a small peptide derived from the beta-amyloid precursor protein (APP). The APP gene exhibits a complex pattern of expression in peripheral tissues and in the brain. The entire human APP gene was introduced into embryonic stem (ES) cells by co-lipofection of a 650-kb yeast artificial chromosome (YAC). Three ES lines containing an essentially intact YAC were isolated, and expression of human APP mRNAs at levels comparable to those of endogenous mouse APP transcripts was obtained. A transgenic mouse line was established by germ-line transmission of the APP YAC. RNase Protection Analysis of human APP mRNAs demonstrated appropriate splicing of the primary APP transcript in ES cells and in the brain of a transgenic animal. These mice may be useful for elucidating the function of the various APP isoforms in vivo.

Ann Schiavone - One of the best experts on this subject based on the ideXlab platform.

  • unleashing the fourteenth amendment
    Social Science Research Network, 2016
    Co-Authors: Ann Schiavone
    Abstract:

    Do Justice Anthony Kennedy’s opinions in the gay rights cases of Romer v. Evans, Lawrence v. Texas, United States v. Windsor, and Obergefell v. Hodges have any impact on the future of Fourteenth Amendment jurisprudence beyond rights for gays, lesbians, and transgender persons? We don’t know. It is possible these cases will simply remain siloed in their unique legal and cultural niche, but viewing them through the lens of 150 years of Fourteenth Amendment jurisprudence suggests they may signal a shift in due process and equal Protection Analysis. This shift could open the doors for challenging discriminatory laws under a more robust rational basis Analysis than that which is generally employed under the traditional tiered-scrutiny structure.

Barbara E Pearson - One of the best experts on this subject based on the ideXlab platform.

  • expression of the human beta amyloid precursor protein gene from a yeast artificial chromosome in transgenic mice
    Proceedings of the National Academy of Sciences of the United States of America, 1993
    Co-Authors: Barbara E Pearson, Ted K Choi
    Abstract:

    Abstract One hallmark of Alzheimer disease is the formation in the brain of amyloid plaques containing a small peptide derived from the beta-amyloid precursor protein (APP). The APP gene exhibits a complex pattern of expression in peripheral tissues and in the brain. The entire human APP gene was introduced into embryonic stem (ES) cells by co-lipofection of a 650-kb yeast artificial chromosome (YAC). Three ES lines containing an essentially intact YAC were isolated, and expression of human APP mRNAs at levels comparable to those of endogenous mouse APP transcripts was obtained. A transgenic mouse line was established by germ-line transmission of the APP YAC. RNase Protection Analysis of human APP mRNAs demonstrated appropriate splicing of the primary APP transcript in ES cells and in the brain of a transgenic animal. These mice may be useful for elucidating the function of the various APP isoforms in vivo.

Leslie L Heckert - One of the best experts on this subject based on the ideXlab platform.

  • A FTZ-F1-containing yeast artificial chromosome recapitulates expression of steroidogenic factor 1 in vivo.
    Molecular Endocrinology, 2005
    Co-Authors: Tatiana S Karpova, Rengasamy R. Manimaran, Serge P. Scherrer, Lovella Tejada, Jeremy Presley, Kenneth R. Peterson, Leslie L Heckert
    Abstract:

    Steroidogenic factor 1 (SF-1/Nr5a1) is an orphan nuclear receptor encoded by the Ftz-F1 gene and is required for gonad and adrenal development and regulation of hormone production within the reproductive and adrenal axes. To extend our understanding of Ftz-F1 and its role in SF-1 expression, we identified and characterized a yeast artificial chromosome (YAC) containing Ftz-F1. Within this YAC, Ftz-F1 is centrally located and flanked by genes encoding a second orphan nuclear receptor, germ cell nuclear factor, and proteasome (prosome, macropain) subunit β type 7. Three lines of transgenic mice carrying the YAC were generated and in two lines (lines 7 and 14), RT-PCR and ribonuclease Protection Analysis showed that expression of transgenic SF-1 mimicked that of endogenous SF-1, both spatially and quantitatively. In the third line (line 15), pituitary and hypothalamic expression were absent. Comparison of the integrated transgenes revealed that line 15 was truncated at the end of intron 4 and revealed a regi...

  • dmrt1 expression is regulated by follicle stimulating hormone and phorbol esters in postnatal sertoli cells
    Endocrinology, 2001
    Co-Authors: Jiang Kai Chen, Leslie L Heckert
    Abstract:

    Dmrt1 is a recently described gene that is expressed exclusively in the testis and is required for postnatal testis differentiation. Here we describe the expression of Dmrt1 in postnatal rat testis and Sertoli cells. RNase Protection Analysis was used to examine Dmrt1 messenger RNA (mRNA) levels in intact testis during postnatal development and in primary cultures of Sertoli cells under various culture conditions. We show that Dmrt1 mRNA levels rise significantly beginning approximately 10 days after birth and remain elevated until after the third postnatal week. Thereafter, mRNA levels drop coincident with the proliferation of germ cells in the testis. In freshly isolated Sertoli cells, Dmrt1 mRNA levels were robust but decreased significantly when the cells were placed in culture for 24 h. Treatment of Sertoli cells with either FSH or 8-bromo-cAMP resulted in a significant rise in Dmrt1 mRNA levels. This cAMP response was sensitive to treatment with the transcriptional inhibitor actinomycin D but not to...

Sam M Mannan - One of the best experts on this subject based on the ideXlab platform.

  • a fuzzy logic and probabilistic hybrid approach to quantify the uncertainty in layer of Protection Analysis
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Yizhi Hong, Adam S Markowski, Hans J Pasman, Sonny Sachdeva, Sam M Mannan
    Abstract:

    Abstract Layer of Protection Analysis (LOPA) is a widely used semi-quantitative risk assessment method. It provides a simplified and less precise method to assess the effectiveness of Protection layers and the residual risk of an incident scenario. The outcome failure frequency and consequence of that residual risk are intended to be conservative by prudently selecting input data, given that design specification and component manufacturer's data are often overly optimistic. There are many influencing factors, including design deficiencies, lack of layer independence, availability, human factors, wear by testing and maintenance shortcomings, which are not quantified and are dependent on type of process and location. This makes the risk in LOPA usually overestimated. Therefore, to make decisions for a cost-effective system, different sources and types of uncertainty in the LOPA model need to be identified and quantified. In this study, a fuzzy logic and probabilistic hybrid approach was developed to determine the mean and to quantify the uncertainty of frequency of an initiating event and the probabilities of failure on demand (PFD) of independent Protection layers (IPLs). It is based on the available data and expert judgment. The method was applied to a distillation system with a capacity to distill 40 tons of flammable n-hexane. The outcome risk of the new method has been proven to be more precise compared to results from the conventional LOPA approach.

  • risk assessment of lng importation terminals using the bayesian lopa methodology
    Journal of Loss Prevention in The Process Industries, 2009
    Co-Authors: Geunwoong Yun, William J Rogers, Sam M Mannan
    Abstract:

    Abstract In order to meet the fast growing LNG (Liquefied Natural Gas) demand, many LNG importation terminals are now in operation. Therefore, it is important to estimate potential risks of LNG terminals using LOPA (Layer of Protection Analysis), which can provide quantified results with less time and effort than other methods. For LOPA applications, failure data are essential to compute risk frequencies. However, available failure data from the LNG industry are sparse and often statistically unreliable. Therefore, Bayesian estimation, which can update generic failure data with plant-specific failure data, was used to compensate for insufficient LNG system failure data. This paper shows the need for the Bayesian–LOPA methodology, how to develop the method, and a case study to demonstrate application of the method. Finally, this paper proposes that the Bayesian–LOPA method is a powerful tool for risk assessment of not only the LNG industry but also in other industries, such as petrochemical, nuclear, and aerospace.

  • layer of Protection Analysis for reactive chemical risk assessment
    Journal of Hazardous Materials, 2008
    Co-Authors: Chunyang Wei, William J Rogers, Sam M Mannan
    Abstract:

    Reactive chemical hazards have been a significant concern for the chemical process industries (CPI). Without sufficient control and mitigation of chemical reaction hazards, reactive incidents have led to severe consequences, such as release of flammable and toxic materials, fires and explosions, and threats to human lives, properties, and the environment. Consequence of reactive hazards can be well understood through calorimetric testing and computational techniques. However, risks of incidents caused by reactive chemicals have not been well addressed due partly to sparse failure frequency data. In this paper, the semi-quantitative layer of Protection Analysis (LOPA) approach is used to estimate reactive chemical risk, and the probabilities or frequencies of failure scenarios are addressed. Using LOPA, reactive risks can be evaluated with respect to predefined criteria, and the effectiveness of risk reduction measures can be assessed. The hydroxylamine (HA) production system is employed as a case study to demonstrate the application of LOPA to reactive chemical risk assessment.