705 research outputs found
Creation of an endA mutant strain in Pseudomonas aeruginosa PAO1 using gene replacement
No full textEndonuclease I is an enzyme encoded by the endA gene. This nuclease degrades double stranded DNA. Many Escherichia coli common laboratory strains contain a mutation in the endA gene that inactivates the DNA-specific endonuclease I. A mutation in this gene greatly increases plasmid DNA yields in such E. coli strains as well as improves the quality of DNA that is isolated. The purpose of this research is to create an endA mutant strain in Pseudomonas aeruginosa PAO1 using gene replacement, thereby leading to the development of a useful laboratory Pseudomonas strain for use as a cloning strain. To accomplish this, chromosomal DNA from P. aeruginosa PAO1 was isolated, and the endA gene was then amplified by PCR using specific primers designed to the flanking upstream and downstream sequence of the endA coding region. The resulting amplified 1100 bp DNA fragment containing the endA gene was cloned into pCR2.1. This newly created plasmid was named pCR2.1-endA. In order to create an insertionally inactivated endA gene, a GmR encoding cassette from pPS856 needed to be inserted into the SalI sites of the cloned endA gene. The pCR2.1-endA plasmid was digested using SalI restriction enzyme. A 4500 bp SalI fragment of pCR2.1-endA was isolated and then religated by T4 DNA ligase. The new plasmid created was called pCR2.1-endASalID. This plasmid was digested with SalI, and blunt ends were created with T4 DNA polymerase. Inactivation of the endA gene was accomplished by insertion of a blunt-ended, GmR encoding gene into the blunt-ended SalI site of the endA coding sequence. The resulting recombinant plasmid was called pCR2.1-endASalID(Gm1). A 1700 bp HindIII x PstI DNA fragment from pCR2.1-endASalID(Gm1), containing the insertionally inactivated endA gene, was isolated and cloned into the similarly digested pEX18Ap plasmid.High Honors
Biosystems Engineering Research Review 14
No full textThe Fourteenth Annual Research Review describes the ongoing research programme in Biosystems Engineering at University College Dublin. The research programme covers three focal areas: Food and Process Engineering; Bioresource Systems; and Bioenvironmental Engineering. Each area is divided into sub-areas as outlined in the Table of Contents which also includes the name of the research scholar (in bold); the research supervisor(s); the title of the research; the nature of the research programme; and the research sponsors. It also includes the noting of five awards for presentational excellence at the Fourteenth Annual Biosystems Engineering Research Seminar held in University College Dublin on Wednesday 11th March 2009.Author has checked copyrightIt is published by UCD School of Biosystems Engineering annually and printed by UCD Copi-Print. It is edited by myself and Enda Cummins.TS 20.06.1
Biosystems Engineering Research Review 14
No full textThe Fourteenth Annual Research Review describes the ongoing research programme in Biosystems Engineering at University College Dublin. The research programme covers three focal areas: Food and Process Engineering; Bioresource Systems; and Bioenvironmental Engineering. Each area is divided into sub-areas as outlined in the Table of Contents which also includes the name of the research scholar (in bold); the research supervisor(s); the title of the research; the nature of the research programme; and the research sponsors. It also includes the noting of five awards for presentational excellence at the Fourteenth Annual Biosystems Engineering Research Seminar held in University College Dublin on Wednesday 11th March 2009.Author has checked copyrightIt is published by UCD School of Biosystems Engineering annually and printed by UCD Copi-Print. It is edited by myself and Enda Cummins.TS 20.06.1
Towards a Risk Management Framework for Quality, Environmental and Health & Safety Management Systems in Regulated Environments
No full textWhilst large-scale manufacturing in Ireland has seen a general decline in recent years, exceptions to this rule have been the medical device and pharmaceutical sectors which have seen continual growth. These sectors differ from traditional manufacturing in that many of the products they produce are viewed not just as industrial goods, but also a tool of public health. Because of this, the Industries are highly regulated. In order for a company to receive product approval, it must undergo stringent auditing of its quality management system.
In addition to their quality systems, companies are under increasing pressure to control, improve and maintain their environmental systems and their health & safety systems. Traditionally, manufacturing companies have been structured as a hierarchy of functional units. The difficulty with this type of structure is that problems that occur at the interfaces, or at function boundaries, are often given less priority than the short-term goals of the functional unit. Integrating quality, environmental, and health & safety management systems may provide a solution. However, because medical devices and pharmaceutical companies manufacture under strong regulatory oversight of their Quality Management System, this oversight has led many companies to reject integration in the belief that integrating their environmental and health & safety systems with their quality system will jeopardise approval by regulatory authorities. The difficulty is, that if these systems operate independently of each other, then the barriers between them will not be crossed. Corrective actions will be focused on the system concerned, and therefore will result in little benefit to the organisation as a whole. Moreover, as part of its risk control measures in one system, the organisation many actually create risk in another.
This thesis details the development of a risk-based framework by which companies operating in such highly regulated environments can resolve this problem. Based on the evidence from a detailed literature review and the data gathered by means of survey and case studies, the corrective and preventive action (CAPA) component of the management system was found to be the most significant common element throughout the regulations and standards governing these companies. The proposed framework supports an integrated approach to the management of environmental, quality and health & safety systems, which is developed around this CAPA process. IDEFØ, (Integration Definition Function Modeling) is the functional modelling methodology used to describe the analysis and development of the framework. The framework was then validated via expert reviewers, representing some of the main end-users of the framework
St. Enda Readers
No full textThis school reader contains one fable, The Old Tree and the Gardener attributed to Aesop (63). This is a difficult enough fable. The version of it here may not help clarify things. Its hint is to call the gardener rather greedy at the start of the last paragraph. He refused to spare the tree because of the fruit it had given or the songs it has provided his wife--but he will spare it for the honey he stands to get from it regularly. One possible point to get from this fable would have been that the right appeal gets a person to see it all positively, since the farmer ends up listing all of the tree's benefits past and present, even though he seems to be sparing it only for one advantage, honey. The binding is coming loose, and the book is in fair condition.This is a hardbound book (hard cover)D. O'Dal
Haplotype frequency estimation error analysis in the presence of missing genotype data-1
No full text<p><b>Copyright information:</b></p><p>Taken from "Haplotype frequency estimation error analysis in the presence of missing genotype data"</p><p>BMC Bioinformatics 2004;5():188-188.</p><p>Published online 1 Dec 2004</p><p>PMCID:PMC544188.</p><p>Copyright © 2004 Kelly et al; licensee BioMed Central Ltd.</p> 0% and 10% missing data. Frequencies derived from phase-known data also shown
Haplotype frequency estimation error analysis in the presence of missing genotype data-4
No full text<p><b>Copyright information:</b></p><p>Taken from "Haplotype frequency estimation error analysis in the presence of missing genotype data"</p><p>BMC Bioinformatics 2004;5():188-188.</p><p>Published online 1 Dec 2004</p><p>PMCID:PMC544188.</p><p>Copyright © 2004 Kelly et al; licensee BioMed Central Ltd.</p>% and 10% missing data. Frequencies derived from phase-known data also shown
Haplotype frequency estimation error analysis in the presence of missing genotype data-5
No full text<p><b>Copyright information:</b></p><p>Taken from "Haplotype frequency estimation error analysis in the presence of missing genotype data"</p><p>BMC Bioinformatics 2004;5():188-188.</p><p>Published online 1 Dec 2004</p><p>PMCID:PMC544188.</p><p>Copyright © 2004 Kelly et al; licensee BioMed Central Ltd.</p>% and 30% missing data. Frequencies derived from phase-known data also shown
Haplotype frequency estimation error analysis in the presence of missing genotype data-0
No full text<p><b>Copyright information:</b></p><p>Taken from "Haplotype frequency estimation error analysis in the presence of missing genotype data"</p><p>BMC Bioinformatics 2004;5():188-188.</p><p>Published online 1 Dec 2004</p><p>PMCID:PMC544188.</p><p>Copyright © 2004 Kelly et al; licensee BioMed Central Ltd.</p>ase-unknown data with 0%, 10%, and 30% missing data
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