871 resultados para Melhoramento genético animal


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2015

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

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Soft-tissue sarcomas (STSs) are rare mesenchymal tumors that arise from muscle, fat and connective tissue. Currently, over 75 subtypes of STS are recognized. The rarity and heterogeneity of patient samples complicate clinical investigations into sarcoma biology. Model organisms might provide traction to our understanding and treatment of the disease. Over the past 10 years, many successful animal models of STS have been developed, primarily genetically engineered mice and zebrafish. These models are useful for studying the relevant oncogenes, signaling pathways and other cell changes involved in generating STSs. Recently, these model systems have become preclinical platforms in which to evaluate new drugs and treatment regimens. Thus, animal models are useful surrogates for understanding STS disease susceptibility and pathogenesis as well as for testing potential therapeutic strategies.

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Diabetes mellitus is becoming increasingly prevalent worldwide. Additionally, there is an increasing number of patients receiving implantable devices such as glucose sensors and orthopedic implants. Thus, it is likely that the number of diabetic patients receiving these devices will also increase. Even though implantable medical devices are considered biocompatible by the Food and Drug Administration, the adverse tissue healing that occurs adjacent to these foreign objects is a leading cause of their failure. This foreign body response leads to fibrosis, encapsulation of the device, and a reduction or cessation of device performance. A second adverse event is microbial infection of implanted devices, which can lead to persistent local and systemic infections and also exacerbates the fibrotic response. Nearly half of all nosocomial infections are associated with the presence of an indwelling medical device. Events associated with both the foreign body response and implant infection can necessitate device removal and may lead to amputation, which is associated with significant morbidity and cost. Diabetes mellitus is generally indicated as a risk factor for the infection of a variety of implants such as prosthetic joints, pacemakers, implantable cardioverter defibrillators, penile implants, and urinary catheters. Implant infection rates in diabetic patients vary depending upon the implant and the microorganism, however, for example, diabetes was found to be a significant variable associated with a nearly 7.2% infection rate for implantable cardioverter defibrillators by the microorganism Candida albicans. While research has elucidated many of the altered mechanisms of diabetic cutaneous wound healing, the internal healing adjacent to indwelling medical devices in a diabetic model has rarely been studied. Understanding this healing process is crucial to facilitating improved device design. The purpose of this article is to summarize the physiologic factors that influence wound healing and infection in diabetic patients, to review research concerning diabetes and biomedical implants and device infection, and to critically analyze which diabetic animal model might be advantageous for assessing internal healing adjacent to implanted devices.

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High-throughput analysis of animal behavior requires software to analyze videos. Such software typically depends on the experiments' being performed in good lighting conditions, but this ideal is difficult or impossible to achieve for certain classes of experiments. Here, we describe techniques that allow long-duration positional tracking in difficult lighting conditions with strong shadows or recurring "on"/"off" changes in lighting. The latter condition will likely become increasingly common, e.g., for Drosophila due to the advent of red-shifted channel rhodopsins. The techniques enabled tracking with good accuracy in three types of experiments with difficult lighting conditions in our lab. Our technique handling shadows relies on single-animal tracking and on shadows' and flies' being accurately distinguishable by distance to the center of the arena (or a similar geometric rule); the other techniques should be broadly applicable. We implemented the techniques as extensions of the widely-used tracking software Ctrax; however, they are relatively simple, not specific to Drosophila, and could be added to other trackers as well.

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G protein-coupled Receptor Kinase 6 (GRK6) belongs to a family of kinases that phosphorylate GPCRs. GRK6 levels were found to be altered in Parkinson's Disease (PD) and D(2) dopamine receptors are supersensitive in mice lacking GRK6 (GRK6-KO mice). To understand how GRK6 modulates the behavioral manifestations of dopamine deficiency and responses to L-DOPA, we used three approaches to model PD in GRK6-KO mice: 1) the cataleptic response to haloperidol; 2) introducing GRK6 mutation to an acute model of absolute dopamine deficiency, DDD mice; 3) hemiparkinsonian 6-OHDA model. Furthermore, dopamine-related striatal signaling was analyzed by assessing the phosphorylation of AKT/GSK3β and ERK1/2. GRK6 deficiency reduced cataleptic behavior, potentiated the acute effect of L-DOPA in DDD mice, reduced rotational behavior in hemi-parkinsonian mice, and reduced abnormal involuntary movements induced by chronic L-DOPA. These data indicate that approaches to regulate GRK6 activity could be useful in modulating both therapeutic and side-effects of L-DOPA.

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Computed tomography (CT) is one of the most valuable modalities for in vivo imaging because it is fast, high-resolution, cost-effective, and non-invasive. Moreover, CT is heavily used not only in the clinic (for both diagnostics and treatment planning) but also in preclinical research as micro-CT. Although CT is inherently effective for lung and bone imaging, soft tissue imaging requires the use of contrast agents. For small animal micro-CT, nanoparticle contrast agents are used in order to avoid rapid renal clearance. A variety of nanoparticles have been used for micro-CT imaging, but the majority of research has focused on the use of iodine-containing nanoparticles and gold nanoparticles. Both nanoparticle types can act as highly effective blood pool contrast agents or can be targeted using a wide variety of targeting mechanisms. CT imaging can be further enhanced by adding spectral capabilities to separate multiple co-injected nanoparticles in vivo. Spectral CT, using both energy-integrating and energy-resolving detectors, has been used with multiple contrast agents to enable functional and molecular imaging. This review focuses on new developments for in vivo small animal micro-CT using novel nanoparticle probes applied in preclinical research.

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Preclinical imaging has a critical role in phenotyping, in drug discovery, and in providing a basic understanding of mechanisms of disease. Translating imaging methods from humans to small animals is not an easy task. The purpose of this work is to review high-resolution computed tomography (CT) also known as micro-CT for small-animal imaging. We present the principles, the technologies, the image quality parameters, and the types of applications. We show that micro-CT can be used to provide not only morphological but also functional information such as cardiac function or vascular permeability. Another way in which micro-CT can be used in the study of both function and anatomy is by combining it with other imaging modalities, such as positron emission tomography or single-photon emission tomography. Compared to other modalities, micro-CT imaging is usually regarded as being able to provide higher throughput at lower cost and higher resolution. The limitations are usually associated with the relatively poor contrast mechanisms and the radiation damage, although the use of novel nanoparticle-based contrast agents and careful design of studies can address these limitations.

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This paper presents a new partial two-player game, called the cannibal animal game, which is a variant of Tic-Tac-Toe. The game is played on the infinite grid, where in each round a player chooses and occupies free cells. The first player Alice can occupy a cell in each turn and wins if she occupies a set of cells, the union of a subset of which is a translated, reflected and/or rotated copy of a previously agreed upon polyomino P (called an animal). The objective of the second player Bob is to prevent Alice from creating her animal by occupying in each round a translated, reflected and/or rotated copy of P. An animal is a cannibal if Bob has a winning strategy, and a non-cannibal otherwise. This paper presents some new tools, such as the bounding strategy and the punching lemma, to classify animals into cannibals or non-cannibals. We also show that the pairing strategy works for this problem.

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El objetivo de este trabajo fue evaluar la eficiencia del modelo de Green-Ampt en la predicción de la infiltración del agua en el suelo haciendo uso de funciones de pedotransferencia (FPT) de Saxton y Rawls (SR), Wösten y Nemes (WN) y las del programa Rosetta (ROS) y analizar el efecto de la carga animal sobre este proceso, por medio de los modelos empíricos de Mezencev (Mez) y el de Swarzendruber (SW), en un establecimiento de producción animal. El estudio se llevó a cabo en un establecimiento sito en la localidad de Marcos Paz, Pcia. de Bs.As. Se eligieron dentro del predio, cuatro grupos de sectores de acuerdo a la intensidad de carga (Ic) : nula (testigo), media, alta y muy alta. El proceso de infiltración se relevó por medio de anillos de Muntz hasta alcanzar la tasa de infiltración básica (TIB). Se tomaron muestras para determinar la densidad aparente (DA), carbono total (CT), humedad gravimétrica (H), conductividad hidráulica saturada (Ks) y se midió la resistencia a la penetración (Rp). Se llevaron a cabo en total 70 ensayos de infiltración y los resultados permitieron concluir que: 1) La carga animal produjo solamente efectos notorios de disminución de la TIB para muy alta Ic. 2) El modelo de SW resultó describir el fenómeno desde el punto de vista físico mejor que el de Mez. 3) La predicción del modelo de GA resultó satisfactoria utilizando las FPT de WN, pero no con las de SR o ROS. 4) Los valores de Ks medidos resultaron entre 5 y 10 veces mayores que los correspondientes de TIB. 5) La TIB dependió sólo de las variables Ic, DA y CT en un modelo de regresión lineal

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Un entendimiento del tipo de control genético subyacente a la expresión del rendimiento en grano por planta (RGP) en híbridos de maíz (Zea mays L.) cultivados en condiciones de baja disponibilidad de nitrógeno (N) es crucial para la selección y el desarrollo de genotipos más eficientes en el uso de N. El objetivo de esta tesis fue el estudio de los componentes de la variabilidad genética para componentes numéricos y ecofisiológicos del RGP con atención especial a la expresión de heterosis, tipo de acción génica, y sus interacciones con el ambiente. El estudio consistió de un dialélico completo conducido en condiciones contrastantes de N y disponibilidad de agua para evaluar 25 atributos ecofisiológicos de 6 lineas endocriadas y todos los posibles híbridos simples. Los resultados permitieron (i) demostrar una disminución de la expresión de heterosis en condiciones de restricciones abióticas con efecto predominante sobre la expansión de tejidos, tal como estrés de N o hídrico durante el periodo de crecimiento vegetativo previo a floración; (ii) identificar atributos ecofisiológicos asociados con heterosis para RGP en condiciones de baja pero no de alta disponibilidad de N (i.e. peso grano); (iii) modelar la respuesta de heterosis para RGP a índice ambiental como una relación linear-plateau, identificando un valor umbral por sobre el cual no se observa incremento de heterosis para RGP; (iv) determinar la magnitud y tipo de acción génica de caracteres ecofisiológicos, identificando a la tasa de crecimiento de la espiga durante el periodo crítico como un carácter secundario promisorio dado su fuerte control genético aditivo y asociación con el RGP, así como el índice de área foliar a madurez fisiológica y el peso de grano en condiciones de baja disponibilidad de N. La integración de un modelo genético y ecofisiológico con la finalidad de explorar las relaciones genotipo a fenotipo utilizando los paisajes de adaptación sugiere que atributos tales como la tasa de removilización de N foliar y el N foliar específico podrían ser útiles para la identificación de loci importantes para el control de caracteres cuantitativos en condiciones de baja disponibilidad de N.