<p>Today’s rapid development of powerful tools for geneexpression analysis provides unprecedented resources forelucidating complex molecular events.</p><p>The objective of this workhas been to apply, combine andevaluate tools for analysis of differential gene expressionusing atherosclerosis as a model system. First, an optimisedsolid-phase protocol for representational difference analysis(RDA) was applied to two<i>in vitro</i>model systems. Initially, The RDA enrichmentprocedure was investigated by shotgun cloning and sequencing ofsuccessive difference products. In the subsequent steps,combinations of RDA and microarray analysis were used tocombine the selectivity and sensitivity of RDA with thehigh-throughput nature of microarrays. This was achieved byimmobilization of RDA clones onto microarrays dedicated forgene expression analysis in atherosclerosis as well ashybridisation of labelled RDA products onto global microarrayscontaining more than 32,000 human clones. Finally, RDA wasapplied for the investigation of the focal localisation ofatherosclerotic plaques in mice using<i>in vivo</i>tissue samples as starting material.</p><p>A large number of differentially expressed clones wereisolated and confirmed by real time PCR. A very diverse rangeof gene fragments was identified in the RDA products especiallywhen they were screened with global microarrays. However, themicroarray data also seem to contain some noise which is ageneral problem using microarrays and should be compensated forby careful verification of the results.</p><p>Quite a large number of candidate genes related to theatherosclerotic process were found by these studies. Inparticular several nuclear receptors with altered expression inresponse to oxidized LDL were identified and deserve furtherinvestigation. Extended functional annotation does not liewithin the scope of this thesis but raw data in the form ofnovel sequences and accession numbers of known sequences havebeen made publicly available in GenBank. Parts of the data arealso available for interactive exploration on-line through aninteractive software tool. The data generated thus constitute abase for new hypotheses to be tested in the field ofatherosclerosis.</p><p><b>Keywords:</b>representational difference analysis, geneexpression profiling, microarray analysis, atherosclerosis,foam cell formation</p>

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No description available.

Heat shock protein (HSP)27 is traditionally described as an intracellular chaperone and signaling molecule, but growing evidence suggests it is released from immune cells where it plays an anti-inflammatory role during atherogenesis. Previously, the O’Brien lab found that overexpression of HSP27 led to augmented HSP27 serum levels in female apolipoprotein E knockout (ApoE-/-) mice, attenuated atherogenesis, and inhibited macrophage foam cell formation via physical binding with scavenger receptor (SR)-A. However, the precise mechanism of atheroprotection remained elusive. This thesis sought to ascertain the mechanism(s) by which HSP27 prevents foam cell formation, and determine if SR-A, a key receptor involved in the uptake of lipid into macrophages, plays an important role in HSP27-mediated atheroprotection. Pre-treatment of human macrophages with recombinant HSP27 (rHSP27) inhibited acytelated low density lipoprotein (acLDL) binding and uptake independent from receptor competition effect. Reduction in uptake was associated with attenuation of expression of SR-A mRNA, total protein, and cell surface expression. To explore the signaling mechanism by which HSP27 modulated SR-A expression it was hypothesized that nuclear factor-kappa B (NF-kB), a major regulator of many atherosclerosis gene programs, is altered by extracellular HSP27. Indeed, rHSP27 markedly activated NF-kB signaling in macrophages. Using an inhibitor of NF-kBsignaling there was an attenuation of rHSP27-induced inhibition of SR-A gene and protein expression, as well as lipid uptake, suggesting that SR-A expression is regulated by NF-kB activation. Lastly, to investigate if SR-A is required for HSP27-mediated atheroprotection in vivo, ApoE-/- and ApoE-/-SR-A-/- mice fed a high fat diet were treated with rHSP25, the mouse orthologue of HSP27, or PBS for 3 weeks. While rHSP25 therapy equally reduced serum cholesterol levels in the mouse cohorts, aortic atherogenesis, assessed using en face and sinus cross-sectional analyses, was attenuated in ApoE-/- mice but not ApoE-/-SR-A-/- mice. In conclusion, rHSP27 inhibits foam cell formation by downregulating SR-A expression. This effect may be associated with NF-kB activation. Reductions in atherosclerotic burden by rHSP27 require SR-A, and are independent of changes in serum cholesterol levels, highlighting the importance of macrophage lipid uptake in atherogenesis. Results presented in this thesis demonstrate that SR-A is a major target for HSP27 atheroprotection in the vessel wall, and provide an impetus for further studies that investigate the potential therapeutic value of HSP27.

Heat shock protein (HSP)27 is traditionally described as an intracellular chaperone and signaling molecule, but growing evidence suggests it is released from immune cells where it plays an anti-inflammatory role during atherogenesis. Previously, the O’Brien lab found that overexpression of HSP27 led to augmented HSP27 serum levels in female apolipoprotein E knockout (ApoE-/-) mice, attenuated atherogenesis, and inhibited macrophage foam cell formation via physical binding with scavenger receptor (SR)-A. However, the precise mechanism of atheroprotection remained elusive. This thesis sought to ascertain the mechanism(s) by which HSP27 prevents foam cell formation, and determine if SR-A, a key receptor involved in the uptake of lipid into macrophages, plays an important role in HSP27-mediated atheroprotection. Pre-treatment of human macrophages with recombinant HSP27 (rHSP27) inhibited acytelated low density lipoprotein (acLDL) binding and uptake independent from receptor competition effect. Reduction in uptake was associated with attenuation of expression of SR-A mRNA, total protein, and cell surface expression. To explore the signaling mechanism by which HSP27 modulated SR-A expression it was hypothesized that nuclear factor-kappa B (NF-kB), a major regulator of many atherosclerosis gene programs, is altered by extracellular HSP27. Indeed, rHSP27 markedly activated NF-kB signaling in macrophages. Using an inhibitor of NF-kBsignaling there was an attenuation of rHSP27-induced inhibition of SR-A gene and protein expression, as well as lipid uptake, suggesting that SR-A expression is regulated by NF-kB activation. Lastly, to investigate if SR-A is required for HSP27-mediated atheroprotection in vivo, ApoE-/- and ApoE-/-SR-A-/- mice fed a high fat diet were treated with rHSP25, the mouse orthologue of HSP27, or PBS for 3 weeks. While rHSP25 therapy equally reduced serum cholesterol levels in the mouse cohorts, aortic atherogenesis, assessed using en face and sinus cross-sectional analyses, was attenuated in ApoE-/- mice but not ApoE-/-SR-A-/- mice. In conclusion, rHSP27 inhibits foam cell formation by downregulating SR-A expression. This effect may be associated with NF-kB activation. Reductions in atherosclerotic burden by rHSP27 require SR-A, and are independent of changes in serum cholesterol levels, highlighting the importance of macrophage lipid uptake in atherogenesis. Results presented in this thesis demonstrate that SR-A is a major target for HSP27 atheroprotection in the vessel wall, and provide an impetus for further studies that investigate the potential therapeutic value of HSP27.

Heat shock protein (HSP)27 is traditionally described as an intracellular chaperone and signaling molecule, but growing evidence suggests it is released from immune cells where it plays an anti-inflammatory role during atherogenesis. Previously, the O’Brien lab found that overexpression of HSP27 led to augmented HSP27 serum levels in female apolipoprotein E knockout (ApoE-/-) mice, attenuated atherogenesis, and inhibited macrophage foam cell formation via physical binding with scavenger receptor (SR)-A. However, the precise mechanism of atheroprotection remained elusive. This thesis sought to ascertain the mechanism(s) by which HSP27 prevents foam cell formation, and determine if SR-A, a key receptor involved in the uptake of lipid into macrophages, plays an important role in HSP27-mediated atheroprotection. Pre-treatment of human macrophages with recombinant HSP27 (rHSP27) inhibited acytelated low density lipoprotein (acLDL) binding and uptake independent from receptor competition effect. Reduction in uptake was associated with attenuation of expression of SR-A mRNA, total protein, and cell surface expression. To explore the signaling mechanism by which HSP27 modulated SR-A expression it was hypothesized that nuclear factor-kappa B (NF-kB), a major regulator of many atherosclerosis gene programs, is altered by extracellular HSP27. Indeed, rHSP27 markedly activated NF-kB signaling in macrophages. Using an inhibitor of NF-kBsignaling there was an attenuation of rHSP27-induced inhibition of SR-A gene and protein expression, as well as lipid uptake, suggesting that SR-A expression is regulated by NF-kB activation. Lastly, to investigate if SR-A is required for HSP27-mediated atheroprotection in vivo, ApoE-/- and ApoE-/-SR-A-/- mice fed a high fat diet were treated with rHSP25, the mouse orthologue of HSP27, or PBS for 3 weeks. While rHSP25 therapy equally reduced serum cholesterol levels in the mouse cohorts, aortic atherogenesis, assessed using en face and sinus cross-sectional analyses, was attenuated in ApoE-/- mice but not ApoE-/-SR-A-/- mice. In conclusion, rHSP27 inhibits foam cell formation by downregulating SR-A expression. This effect may be associated with NF-kB activation. Reductions in atherosclerotic burden by rHSP27 require SR-A, and are independent of changes in serum cholesterol levels, highlighting the importance of macrophage lipid uptake in atherogenesis. Results presented in this thesis demonstrate that SR-A is a major target for HSP27 atheroprotection in the vessel wall, and provide an impetus for further studies that investigate the potential therapeutic value of HSP27.

Acyl coenzyme A:cholesterol acyltransferase (ACAT) catalyzes the intracellular synthesis of cholesteryl esters (CE). Both ACAT isoforms, ACAT1 and ACAT2, play key roles in the pathophysiology of atherosclerosis and ACAT inhibition retards atherosclerosis in animal models. Rimonabant, a type 1 cannabinoid receptor (CB1) antagonist, produces anti-atherosclerotic effects in humans and animals by mechanisms which are not completely understood. Rimonabant is structurally similar to two other cannabinoid receptor antagonists, AM251 and SR144528, recently identified as potent inhibitors of ACAT. Therefore, we examined the effects of Rimonabant on ACAT using both in vivo cell-based assays and in vitro cell-free assays. Rimonabant dose-dependently reduced ACAT activity in Raw 264.7 macrophages (IC50=2.9±0.38μM) and isolated peritoneal macrophages. Rimonabant inhibited ACAT activity in intact CHO-ACAT1 and CHO-ACAT2 cells and in cell-free assays with approximately equal efficiency (IC50=1.5±1.2μM and 2.2±1.1μM for CHO-ACAT1 and CHO-ACAT2, respectively). Consistent with ACAT inhibition, Rimonabant treatment blocked ACAT-dependent processes in macrophages, oxysterol-induced apoptosis and acetylated-LDL induced foam cell formation. From these results we conclude that Rimonabant is an ACAT1/2 dual inhibitor and suggest that some of the atherosclerotic beneficial effects of Rimonabant are, at least partly, due to inhibition of ACAT.

No description available.

Les techniques de groupement technologique sont aujourd’hui utilisées dans de nombreux ateliers de fabrication; elles consistent à décomposer les systèmes industriels en sous-systèmes ou cellules constitués de pièces et de machines. Trouver le groupement technologique le plus efficace est formulé en recherche opérationnelle comme un problème de formation de cellules. La résolution de ce problème permet de tirer plusieurs avantages tels que la réduction des stocks et la simplification de la programmation. Plusieurs critères peuvent être définis au niveau des contraintes du problème tel que le flot intercellulaire,l’équilibrage de charges intracellulaires, les coûts de sous-traitance, les coûts de duplication des machines, etc. Le problème de formation de cellules est un problème d'optimisation NP-difficile. Par conséquent les méthodes exactes ne peuvent être utilisées pour résoudre des problèmes de grande dimension dans un délai raisonnable. Par contre des méthodes heuristiques peuvent générer des solutions de qualité inférieure, mais dans un temps d’exécution raisonnable. Dans ce mémoire, nous considérons ce problème dans un contexte bi-objectif spécifié en termes d’un facteur d’autonomie et de l’équilibre de charge entre les cellules. Nous présentons trois types de méthodes métaheuristiques pour sa résolution et nous comparons numériquement ces métaheuristiques. De plus, pour des problèmes de petite dimension qui peuvent être résolus de façon exacte avec CPLEX, nous vérifions que ces métaheuristiques génèrent des solutions optimales. / Group technology techniques are now widely used in many manufacturing systems. Those techniques aim to decompose industrial systems into subsystems or cells of parts and machines. The problem of finding the most effectivegroup technology is formulated in operations research as the Cell Formation Problem. Several criteria can be used to specify the optimal solution such as flood intercellular, intracellular load balancing, etc. Solving this problem leads to several advantages such as reducing inventory and simplifying programming. The Cell Formation Problem is an NP-hard problem; therefore, exact methods cannot be used to solve large problems within a reasonabletime, whereas heuristics can generate solutions of lower quality, but in a reasonable execution time. We suggest in this work, three different metaheuristics to solve the cell formation problem having two objectives functions: cell autonomy and load balancing between the cells.We compare numerically these metaheuristics. Furthermore, for problems of smaller dimension that can be solved exactly with CPLEX, we verify that the metaheuristics can reach the optimal value.

A manufatura celular tem um importante destaque entre os sistemas de produção, sendo empregada em parte significativa das empresas de manufatura classe mundial e alvo de constantes pesquisas. Um dos aspectos fundamentais para a aplicação desse sistema de produção é a solução de problemas de formação de células. Ao longo das últimas três décadas muitos algoritmos foram propostos para auxiliar esta decisão, porém, eles não têm sido intensamente aplicados na rotina das empresas, que na maioria dos casos, definem as células com base no bom senso e experiência. Alguns dos fatores que contribuem para isso são: a não disponibilidade de dados necessários para a solução do problema, e o fato de que cada algoritmo retrata situações particulares, necessitando de um especialista que seja capaz de escolhê-los ou desenvolvê-los e aplicá-los conforme as características específicas do problema enfrentado. Neste trabalho propõe-se que uma arquitetura que busca integrar os diversos algoritmos de formação de célula, permitindo que estes sejam aplicados a um mesmo conjunto de dados. O objetivo é disponibilizar aos profissionais de empresa o maior número possível de algoritmos de maneira simples e sem a necessidade de dispendiosos levantamentos de dados, seguindo um procedimento em que possam analisar diferentes soluções de um problema. A arquitetura é composta de um procedimento, um modelo orientado a objeto e um sistema de apoio à decisão para formação de células. Os resultados obtidos da aplicação mostram que a arquitetura proposta é viável com grandes possibilidades para continuar a ser desenvolvida em pesquisas futuras. / The celular manufacturing has an important prominence among the production systems, being used in significant part of the world class manufacturing companies and it is objective of constant researches. One of the fundamental aspects for the application of this production system is the solution to the problem of cells formation. Along the last three decades many algorithms were proposed to aid this decision, even so, they have not been applied intensively in the normal routine of the companies that in most of the cases, they cells design with base on the good sense and experience. Some of the factors that contribute to that are: there are not available necessary data to the solution of the problem, and the fact that each algorithm presents private situations, needing a specialist that is capable to choose them or to develop them and to apply them according to the specific characteristics of the problem. In this work we propose a framework that looks for to integrate the several algorithms of cell formation, al/owing that these are applied to a same group of data. The purpose is become available to professional of a company, the largest possible number of algorithms in a simple way and without the necessity of expensive survey of data, following a procedure in that it can analyze different solutions of a problem. The framework is composed of a procedure, an object-oriented model and a decision support system for cells formation. The obtained results of the application show that the proposal framework is acceptable with great possibilities to continue to be developed in future researches.