3 resultados para Transient transfection

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Anhidrotic Ectodermal Dysplasia (EDA), is the most frequent form among Ectodermal Dysplasias, hereditary genetic disorders causing ectodermal appendages defective development. Indeed, EDA is characterized by defective formation of hair follicles, sweat glands and teeth both in human patients and animals. EDA, the gene mutated in Anhidrotic Ectodermal Dysplasia, encodes Ectodysplasin, a TNF family member that activates NF-kB mediated transcription. This disease can occur with mutations in other EDA-NF-kB pathway members, as EDA receptor, EDAR and its adapter, EDARADD. Moreover, mutations in TRAF6, NEMO, IKB and NF-kBs genes are responsible for Immunodeficiency associated EDA (EDA-ID). Several molecules, as SHH, WNT/DKK, BMP and LTβ, have already been reported to be EDA pathway regulators or effectors although the knowledge of the full spectrum of EDA targets remains incomplete. During the first part of the research project a gene expression analysis was performed in primary keratinocytes from Wild-type and Tabby (EDA model mouse) mice to identify novel EDA target genes. Earlier expression profiling at various developmental time points in Tabby and Wild-type mouse skin reported genes differentially expressed in the two samples and, to increase the resolution to find genes whose expression may be restricted to epidermal cells, the study was extended to primary keratinocyte cultures established from E19 Wild-type and Tabby skin. Using microarrays bearing 44,000 gene probes, we found 385 “preliminary candidate” genes whose expression was significantly affected by Eda defect. By comparing expression profiles to those from Eda-A1 (where Eda-A1 is highly expressed) transgenic skin, we restricted the list to 38 “candidate EDA targets”, 14 of which were already known to be expressed in hair follicles or epidermis. This work confirmed expression changes for 3 selected genes, Tbx1, Bmp7, and Jag1, both in primary keratinocytes and in Wild-type and Tabby whole skin, by Q-PCR and Western blotting analyses. Thus, this study detected novel candidate pathways downstream of EDA. In the second part of the research project, plasmid constructs were produced and analyzed to create a transgenic mouse model for Immunodeficiency associated EDA disease (XL-EDA-ID). In particular, plasmids containing mouse Wild-type and mutated Nemo cDNA under K-17 epidermis-specific promoter control and a Flag tag, were prepared, on the way to confine transgene expression to mice epidermis and to determine EDA phenotype without immunodeficiency for a comparison to Tabby model phenotype. EDA-ID mutations reported in patients and selected for this study are: C417R (C409R in mouse), causing Zinc Finger protein domain destabilization and A288G (A282G in mouse) affecting oligomerization of the protein. Moreover, the ex-novo mutation, ZnF, C-terminal Zinc Finger domain deletion, was tested. Thus, the constructs were analyzed by transient transfection, Western blotting and luciferase assays techniques, detecting Nemo Wild-type and mutant protein products and residue NF-kB activity in presence of mutants, after TNF stimulation. In particular, MEF_Nemo-/- cell line was used to monitor NF-kB activity without endogenous Nemo gene. Results show reduced NF-kB activity in presence of mutated Nemo forms compared to Wild-type: 81% for A282G (A288G in human); 24% for C409R (C417R in human); 15% for ZnF. C409R mutation (C417R in human), reported in 6 EDA-ID human patients, was selected to prepare transgenic model mouse. Mice (white, FVP) born following K17-promoter-Flag-Nemo_C409R plasmid region pronuclear injection, were analyzed for the transgene presence in the genotype and a preliminar examination of their phenotype was performed. In particular, one mouse showed considerable coat defects if compared to Wild-type mice. This preliminar analysis suggests a possible influence of Nemo mutant over-expression in epidermis without immunodeficiency. Still, more microscopic studies to analyze hair subtypes, Guard, Awl and Zigzag (usually alterated inTabby mouse model), Immunohistochemistry experiments to detect epidermis restricted Nemo expression and sweat glands analysis, will follow. This and other transgene positive mice will be crossed with black mice C57BL6 to obtain at least two indipendent agouti lines to analyze. Theses mice will be used in EDA target genes detection through microarrays. Following, plasmid constructs containing other Nemo mutant forms (A282G and ZnF) might be studied by the same experimental approaches to prepare more transgenic model mice to compare to Nemo_C409R and Tabby mouse models.

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The objective of this thesis is the power transient analysis concerning experimental devices placed within the reflector of Jules Horowitz Reactor (JHR). Since JHR material testing facility is designed to achieve 100 MW core thermal power, a large reflector hosts fissile material samples that are irradiated up to total relevant power of 3 MW. MADISON devices are expected to attain 130 kW, conversely ADELINE nominal power is of some 60 kW. In addition, MOLFI test samples are envisaged to reach 360 kW for what concerns LEU configuration and up to 650 kW according to HEU frame. Safety issues concern shutdown transients and need particular verifications about thermal power decreasing of these fissile samples with respect to core kinetics, as far as single device reactivity determination is concerned. Calculation model is conceived and applied in order to properly account for different nuclear heating processes and relative time-dependent features of device transients. An innovative methodology is carried out since flux shape modification during control rod insertions is investigated regarding the impact on device power through core-reflector coupling coefficients. In fact, previous methods considering only nominal core-reflector parameters are then improved. Moreover, delayed emissions effect is evaluated about spatial impact on devices of a diffuse in-core delayed neutron source. Delayed gammas transport related to fission products concentration is taken into account through evolution calculations of different fuel compositions in equilibrium cycle. Provided accurate device reactivity control, power transients are then computed for every sample according to envisaged shutdown procedures. Results obtained in this study are aimed at design feedback and reactor management optimization by JHR project team. Moreover, Safety Report is intended to utilize present analysis for improved device characterization.

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Traditionally, the study of internal combustion engines operation has focused on the steady-state performance. However, the daily driving schedule of automotive engines is inherently related to unsteady conditions. There are various operating conditions experienced by (diesel) engines that can be classified as transient. Besides the variation of the engine operating point, in terms of engine speed and torque, also the warm up phase can be considered as a transient condition. Chapter 2 has to do with this thermal transient condition; more precisely the main issue is the performance of a Selective Catalytic Reduction (SCR) system during cold start and warm up phases of the engine. The proposal of the underlying work is to investigate and identify optimal exhaust line heating strategies, to provide a fast activation of the catalytic reactions on SCR. Chapters 3 and 4 focus the attention on the dynamic behavior of the engine, when considering typical driving conditions. The common approach to dynamic optimization involves the solution of a single optimal-control problem. However, this approach requires the availability of models that are valid throughout the whole engine operating range and actuator ranges. In addition, the result of the optimization is meaningful only if the model is very accurate. Chapter 3 proposes a methodology to circumvent those demanding requirements: an iteration between transient measurements to refine a purpose-built model and a dynamic optimization which is constrained to the model validity region. Moreover all numerical methods required to implement this procedure are presented. Chapter 4 proposes an approach to derive a transient feedforward control system in an automated way. It relies on optimal control theory to solve a dynamic optimization problem for fast transients. From the optimal solutions, the relevant information is extracted and stored in maps spanned by the engine speed and the torque gradient.