996 resultados para Medical biotechnology


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Gene expression is one of the most critical factors influencing the phenotype of a cell. As a result of several technological advances, measuring gene expression levels has become one of the most common molecular biological measurements to study the behaviour of cells. The scientific community has produced enormous and constantly increasing collection of gene expression data from various human cells both from healthy and pathological conditions. However, while each of these studies is informative and enlighting in its own context and research setup, diverging methods and terminologies make it very challenging to integrate existing gene expression data to a more comprehensive view of human transcriptome function. On the other hand, bioinformatic science advances only through data integration and synthesis. The aim of this study was to develop biological and mathematical methods to overcome these challenges and to construct an integrated database of human transcriptome as well as to demonstrate its usage. Methods developed in this study can be divided in two distinct parts. First, the biological and medical annotation of the existing gene expression measurements needed to be encoded by systematic vocabularies. There was no single existing biomedical ontology or vocabulary suitable for this purpose. Thus, new annotation terminology was developed as a part of this work. Second part was to develop mathematical methods correcting the noise and systematic differences/errors in the data caused by various array generations. Additionally, there was a need to develop suitable computational methods for sample collection and archiving, unique sample identification, database structures, data retrieval and visualization. Bioinformatic methods were developed to analyze gene expression levels and putative functional associations of human genes by using the integrated gene expression data. Also a method to interpret individual gene expression profiles across all the healthy and pathological tissues of the reference database was developed. As a result of this work 9783 human gene expression samples measured by Affymetrix microarrays were integrated to form a unique human transcriptome resource GeneSapiens. This makes it possible to analyse expression levels of 17330 genes across 175 types of healthy and pathological human tissues. Application of this resource to interpret individual gene expression measurements allowed identification of tissue of origin with 92.0% accuracy among 44 healthy tissue types. Systematic analysis of transcriptional activity levels of 459 kinase genes was performed across 44 healthy and 55 pathological tissue types and a genome wide analysis of kinase gene co-expression networks was done. This analysis revealed biologically and medically interesting data on putative kinase gene functions in health and disease. Finally, we developed a method for alignment of gene expression profiles (AGEP) to perform analysis for individual patient samples to pinpoint gene- and pathway-specific changes in the test sample in relation to the reference transcriptome database. We also showed how large-scale gene expression data resources can be used to quantitatively characterize changes in the transcriptomic program of differentiating stem cells. Taken together, these studies indicate the power of systematic bioinformatic analyses to infer biological and medical insights from existing published datasets as well as to facilitate the interpretation of new molecular profiling data from individual patients.

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Reactive oxygen species (ROS) have important functions in plant stress responses and development. In plants, ozone and pathogen infection induce an extracellular oxidative burst that is involved in the regulation of cell death. However, very little is known about how plants can perceive ROS and regulate the initiation and the containment of cell death. We have identified an Arabidopsis thaliana protein, GRIM REAPER (GRI), that is involved in the regulation of cell death induced by extracellular ROS. Plants with an insertion in GRI display an ozone-sensitive phenotype. GRI is an Arabidopsis ortholog of the tobacco flower-specific Stig1 gene. The GRI protein appears to be processed in leaves with a release of an N-terminal fragment of the protein. Infiltration of the N-terminal fragment of the GRI protein into leaves caused cell death in a superoxide-and salicylic acid-dependent manner. Analysis of the extracellular GRI protein yields information on how plants can initiate ROS-induced cell death during stress response and development.

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Depuis les années quatre-vingt-dix Cuba développe et commercialise des vaccins et méthodes en biotechnologies médicales dont certains sont des premières mondiales. L'île est alors encore considérée comme un pays en voie de développement et est la cible d’un embargo imposé par les États-Unis depuis plus de trente ans. Or les biotechnologies sont une science aussi coûteuse en matériel qu'en ressources humaines très spécialisées et elles sont de ce fait réservées aux pays de la sphère scientifique centrale. Ces réussites suggèrent la mise en place d'un potentiel scientifique et technique réel autant qu'elles peuvent constituer un artéfact dans un secteur moins développé ou moins pérenne qu'il n'y paraît. Quel est le vrai visage des biotechnologies cubaines au milieu des années deux-mille ? C'est à cette question que tente de répondre cette étude. Elle consiste dans un premier temps à retracer les paramètres du développement des institutions de recherche en biotechnologies dans un contexte qui connaît peu de répit depuis l'avènement de la Révolution : indicateurs socio-économiques bas, embargo, planification socialiste, isolement géopolitique, crises économiques mondiales, dissolution du bloc soviétique... Elle se poursuit avec une analyse bibliométrique permettant de donner un visage quantitatif des réalisations cubaines dans le domaine : au-delà des réalisations mises de l'avant, dans quelles revues et dans quels domaines les chercheurs cubains en biotechnologie publient-ils ? Avec quels pays collaborent-ils et par quels pays sont-ils cités ? Quelle est leur place dans le monde ? Nous exploiterons l'ensemble de ces indicateurs et de ces éléments historiques pour conclure, au tournant des années deux-mille, à l'existence d'un potentiel scientifique et technique développé mais d'une science aux ressources maigres constamment tenue de rapporter un certain capital économique aussi bien que politique. En cohérence avec la dialectique socialiste propre à l'île, les sciences cubaines, depuis 1959, ne constituent jamais une fin en soi mais restent un moyen politique et social. En 2006 elles le sont encore. Malgré leurs réalisations elles touchent aux limites de la planification et réclament leur indépendance face au politique afin d'exploiter pleinement leur potentiel, bien réel.

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The flood of new genomic sequence information together with technological innovations in protein structure determination have led to worldwide structural genomics (SG) initiatives. The goals of SG initiatives are to accelerate the process of protein structure determination, to fill in protein fold space and to provide information about the function of uncharacterized proteins. In the long-term, these outcomes are likely to impact on medical biotechnology and drug discovery, leading to a better understanding of disease as well as the development of new therapeutics. Here we describe the high throughput pipeline established at the University of Queensland in Australia. In this focused pipeline, the targets for structure determination are proteins that are expressed in mouse macrophage cells and that are inferred to have a role in innate immunity. The aim is to characterize the molecular structure and the biochemical and cellular function of these targets by using a parallel processing pipeline. The pipeline is designed to work with tens to hundreds of target gene products and comprises target selection, cloning, expression, purification, crystallization and structure determination. The structures from this pipeline will provide insights into the function of previously uncharacterized macrophage proteins and could lead to the validation of new drug targets for chronic obstructive pulmonary disease and arthritis.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB

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A monoclonal antibody (mAb) is an important tool in medical biotechnology and the production of biopharmaceuticals, especially for disease diagnosis and treatment of infections, because the antibodies have a significant advantage over chemical agents used in conventional therapies . The last thirty years the technology of production of monoclonal antibodies developed mainly the technique of obtaining in vitro, but also of their production is laborious, the cost is high. A major element of the high cost of production is the fact that the long-term culture consumes a large amount of imported inputs with high added value. A major contribution of this work is to promote cell growth more quickly and efficiently. Currently, a great race to discover new technologies and techniques to synthesize new antibodies and significantly increase the production of murine mAbs. New technologies such as laser and LED are innovations and widespread in modern life, so much so that its use has proliferated worldwide, primarily in the medical field. Recent studies show a series of results from the influence of the LED light in biological tissues such as: increasing the rate of cell proliferation, increased production rate of fibroblasts, increasing the rate of synthesis of RNA and DNA synthesis of ATP, etc. To assess the contribution of the LED in the culture of Myeloma NS1murino compared to the standard procedure. - NS1 cells were provided and followed the criteria of culture medium of the Laboratory of Cellular Engineering Center of Botucatu (POPs). The same amount of cells was grown in bottles of 25 cm2 polystyrene Tissue Culture Treated, specifically marked and kept in special medium RPMI 1640 Gibco BRL  supplemented with fetal bovine serum 10%, essential amino acids and non-essential, glucose, insulin and antibiotics. It was used in LEDs Cromatek wavelength of 630nm, 475nm and 530nm. The groups were... (Complete abstract click electronic access below)

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Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.

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Nanomedicine is an innovative field of science which has recently generated many drug delivery platforms with exciting results. The great potential of these strategies rely on the unique characteristics of the devices at the nano-scale in terms of long time circulation in the blood stream, selective accumulation at the lesions sites, increased solubility in aqueous solutions, etc. Herein we report on a new drug delivery system known as a multistage system which is comprised of non-spherical, mesoporous silicon particles loaded with second stage nanoparticles. The rationally designed particle shape, the possibility to modulate the surface properties and the degree of porosity allow these carriers to be optimized for vascular targeting and to overcome the numerous biological barriers found in drug delivery. In this study we investigated the intra and inter cellular trafficking of the multistage system in endothelial cells bringing evidence of its bio-compatibility as well as its ability to perform multiple intra and inter cellular tasks. Once internalized in cells, the multi-particle construct is able to dissociate, localizing in different subcellular compartments which can be targeted for exocytosis. In particular the second stage nanoparticles were found to be secreted in microvesicles which can act as mediators of transfer of particles across the endothelium and between different endothelial and cancer cells.

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Tumor growth often outpaces its vascularization, leading to development of a hypoxic tumor microenvironment. In response, an intracellular hypoxia survival pathway is initiated by heterodimerization of hypoxia-inducible factor (HIF)-1α and HIF-1β, which subsequently upregulates the expression of several hypoxia-inducible genes, promotes cell survival and stimulates angiogenesis in the oxygen-deprived environment. Hypoxic tumor regions are often associated with resistance to various classes of radio- or chemotherapeutic agents. Therefore, development of HIF-1α/β heterodimerization inhibitors may provide a novel approach to anti-cancer therapy. To this end, a novel approach for imaging HIF-1α/β heterodimerization in vitro and in vivo was developed in this study. Using this screening platform, we identified a promising lead candidate and further chemically derivatized the lead candidate to assess the structure-activity relationship (SAR). The most effective first generation drug inhibitors were selected and their pharmacodynamics and anti-tumor efficacy in vivo were verified by bioluminescence imaging (BLI) of HIF-1α/β heterodimerization in the xenograft tumor model. Furthermore, the first generation drug inhibitors, M-TMCP and D-TMCP, demonstrated efficacy as monotherapies, resulting in tumor growth inhibition via disruption of HIF-1 signaling-mediated tumor stromal neoangiogenesis.

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This book is an exemplar of what the National Academy of Science does so well: to assemble a cast of very wellinformed and clever experts; to ask them to think hard and critically about an important issue over a substantial period of time; and to seek a consensus, if possible and failing that, to identify the critical issues on which wellinformed people disagree and to specify the evidence that has the greatest epistemic leverage in resolving disagreements.

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This paper briefly explains why it would be unwise to use genetic and neurobiological knowledge to prevent cigarette smoking and tobacco-related disease. However implausible these uses may seem to those who are well informed about the genetics of tobacco use or tobacco-control policy, it is the preventive uses of genetic information and nicotine vaccines that most excite the interest of the media and the public. The major challenges that these approaches face need to be widely understood if we are to prevent these superfi cially attractive but controversial uses from undermining effective control policies and the development of better methods of helping smokers to quit.