350 resultados para Functional Adaptation


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Neuroblastoma (NB) is the most common extracranial malignant tumor in young children and arises at any site of the sympathetic nervous system. The disease exhibits a remarkable phenotypic diversity ranging from spontaneous regression to fatal disease. Poor outcome results from a rapidly progressive, metastatic and drug-resistant disease. Recent studies have suggested that solid tumors may arise from a minor population of cancer stem cells (CSCs) with stem cell markers and typical properties such as self-renewal ability, asymmetric division and drug resistance. In this model, CSCs possess the exclusive ability to initiate and maintain the tumor, and to produce distant metastases. Tumor cell subpopulations with stem-like phenotypes have indeed been identified in several cancer including leukemia, breast, brain and colon cancers. CSC hypothesis still needs to be validated in the other cancers including NB.NB originates from neural crest-derived malignant sympatho-adrenal cells. We have identified rare cells that express markers in conformity with neural crest stem cells and their derived lineages within primary NB tissue and cell lines, leading us to postulate the existence of CSCs in NB tumors.In the absence of specific markers to isolate CSCs, we adapted to NB tumor cells the sphere functional assay, based on the ability of stem cells to grow as spheres in non-adherent conditions. By serial passages of spheres from bone marrow NB metastases, a subset of cells was gradually selected and its specific gene expression profile identified by micro-array time-course analysis. The differentially expressed genes in spheres are enriched in genes implicated in development including CD133, ABC-transporters, WNT and NOTCH genes, identified in others solid cancers as CSCs markers, and other new markers, all referred by us as the Neurosphere Expression Profile (NEP). We confirmed the presence of a cell subpopulation expressing a combination of the NEP markers within a few primary NB samples.The tumorigenic potential of NB spheres was assayed by in vivo tumor growth analyses using orthotopic (adrenal glands) implantations of tumor cells into immune-compromised mice. Tumors derived from the sphere cells were significantly more frequent and were detected earlier compared to whole tumor cells. However, NB cells expressing the neurosphere-associated genes and isolated from the bulk tumors did not recapitulate the CSC-like phenotype in the orthotopic model. In addition, the NB sphere cells lost their higher tumorigenic potential when implanted in a subcutaneous heterotopic in vivo model.These results highlighted the complex behavior of CSC functions and led us to consider the stem-like NB cells as a dynamic and heterogeneous cell population influenced by microenvironment signals.Our approach identified for the first time candidate genes that may be associated with NB self-renewal and tumorigenicity and therefore would establish specific functional targets for more effective therapies in aggressive NB.

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A series of mutations, including 5' and 3' deletions, as well as insertions were introduced into the 5' flanking nucleotide sequence of a vaccinia virus late gene. This DNA has been shown previously to contain all the necessary elements for correct regulation of the gene most probably transcribed by the viral RNA polymerase. To facilitate the assays, the mutated DNA was fused to the chloramphenicol acetyltransferase gene and inserted into the genome of live vaccinia virus. The effects of the mutations on expression of the chimeric gene were studied by both enzyme assays and nuclease S1 analysis. The results showed that 5' deletions up to about 15 bp from the putative initiation site of transcription still yielded high levels of gene expression. All mutations, however, that deleted the authentic late mRNA start site, abolished promoter activity.

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Functional neuroimaging has undergone spectacular developments in recent years. Paradoxically, its neurobiological bases have remained elusive, resulting in an intense debate around the cellular mechanisms taking place upon activation that could contribute to the signals measured. Taking advantage of a modeling approach, we propose here a coherent neurobiological framework that not only explains several in vitro and in vivo observations but also provides a physiological basis to interpret imaging signals. First, based on a model of compartmentalized energy metabolism, we show that complex kinetics of NADH changes observed in vitro can be accounted for by distinct metabolic responses in two cell populations reminiscent of neurons and astrocytes. Second, extended application of the model to an in vivo situation allowed us to reproduce the evolution of intraparenchymal oxygen levels upon activation as measured experimentally without substantially altering the initial parameter values. Finally, applying the same model to functional neuroimaging in humans, we were able to determine that the early negative component of the blood oxygenation level-dependent response recorded with functional MRI, known as the initial dip, critically depends on the oxidative response of neurons, whereas the late aspects of the signal correspond to a combination of responses from cell types with two distinct metabolic profiles that could be neurons and astrocytes. In summary, our results, obtained with such a modeling approach, support the concept that both neuronal and glial metabolic responses form essential components of neuroimaging signals.

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T cell responses to viral epitopes are often composed of a small number of codominant clonotypes. In this study, we show that tumor Ag-specific T cells can behave similarly. In a melanoma patient with a long lasting HLA-A2/NY-ESO-1-specific T cell response, reaching 10% of circulating CD8 T cells, we identified nine codominant clonotypes characterized by individual TCRs. These clonotypes made up almost the entire pool of highly differentiated effector cells, but only a fraction of the small pool of less differentiated "memory" cells, suggesting that the latter serve to maintain effector cells. The different clonotypes displayed full effector function and expressed TCRs with similar functional avidity. Nevertheless, some clonotypes increased, whereas others declined in numbers over the observation period of 6 years. One clonotype disappeared from circulating blood, but without preceding critical telomere shortening. In turn, clonotypes with increasing frequency had accelerated telomere shortening, correlating with strong in vivo proliferation. Interestingly, the final prevalence of the different T cell clonotypes in circulation was anticipated in a metastatic lymph node withdrawn 2 years earlier, suggesting in vivo clonotype selection driven by metastases. Together, these data provide novel insight in long term in vivo persistence of T cell clonotypes associated with continued cell turnover but not replicative senescence or functional alteration.

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Cerebral blood flow can be studied in a multislice mode with a recently proposed perfusion sequence using inversion of water spins as an endogenous tracer without magnetization transfer artifacts. The magnetization transfer insensitive labeling technique (TILT) has been used for mapping blood flow changes at a microvascular level under motor activation in a multislice mode. In TILT, perfusion mapping is achieved by subtraction of a perfusion-sensitized image from a control image. Perfusion weighting is accomplished by proximal blood labeling using two 90 degrees radiofrequency excitation pulses. For control preparation the labeling pulses are modified such that they have no net effect on blood water magnetization. The percentage of blood flow change, as well as its spatial extent, has been studied in single and multislice modes with varying delays between labeling and imaging. The average perfusion signal change due to activation was 36.9 +/- 9.1% in the single-slice experiments and 38.1 +/- 7.9% in the multislice experiments. The volume of activated brain areas amounted to 1.51 +/- 0.95 cm3 in the contralateral primary motor (M1) area, 0.90 +/- 0.72 cc in the ipsilateral M1 area, 1.27 +/- 0.39 cm3 in the contralateral and 1.42 +/- 0.75 cm3 in the ipsilateral premotor areas, and 0.71 +/- 0.19 cm3 in the supplementary motor area.

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Among the types of remote sensing acquisitions, optical images are certainly one of the most widely relied upon data sources for Earth observation. They provide detailed measurements of the electromagnetic radiation reflected or emitted by each pixel in the scene. Through a process termed supervised land-cover classification, this allows to automatically yet accurately distinguish objects at the surface of our planet. In this respect, when producing a land-cover map of the surveyed area, the availability of training examples representative of each thematic class is crucial for the success of the classification procedure. However, in real applications, due to several constraints on the sample collection process, labeled pixels are usually scarce. When analyzing an image for which those key samples are unavailable, a viable solution consists in resorting to the ground truth data of other previously acquired images. This option is attractive but several factors such as atmospheric, ground and acquisition conditions can cause radiometric differences between the images, hindering therefore the transfer of knowledge from one image to another. The goal of this Thesis is to supply remote sensing image analysts with suitable processing techniques to ensure a robust portability of the classification models across different images. The ultimate purpose is to map the land-cover classes over large spatial and temporal extents with minimal ground information. To overcome, or simply quantify, the observed shifts in the statistical distribution of the spectra of the materials, we study four approaches issued from the field of machine learning. First, we propose a strategy to intelligently sample the image of interest to collect the labels only in correspondence of the most useful pixels. This iterative routine is based on a constant evaluation of the pertinence to the new image of the initial training data actually belonging to a different image. Second, an approach to reduce the radiometric differences among the images by projecting the respective pixels in a common new data space is presented. We analyze a kernel-based feature extraction framework suited for such problems, showing that, after this relative normalization, the cross-image generalization abilities of a classifier are highly increased. Third, we test a new data-driven measure of distance between probability distributions to assess the distortions caused by differences in the acquisition geometry affecting series of multi-angle images. Also, we gauge the portability of classification models through the sequences. In both exercises, the efficacy of classic physically- and statistically-based normalization methods is discussed. Finally, we explore a new family of approaches based on sparse representations of the samples to reciprocally convert the data space of two images. The projection function bridging the images allows a synthesis of new pixels with more similar characteristics ultimately facilitating the land-cover mapping across images.

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Calibrated BOLD fMRI is a promising alternative to the classic BOLD contrast due to its reduced venous sensitivity and greater physiological specificity. The delayed adoption of this technique for cognitive studies may stem partly from a lack of information on the reproducibility of these measures in the context of cognitive tasks. In this study we have explored the applicability and reproducibility of a state-of-the-art calibrated BOLD technique using a complex functional task at 7 tesla. Reproducibility measures of BOLD, CBF, CMRO2 flow-metabolism coupling n and the calibration parameter M were compared and interpreted for three ROIs. We found an averaged intra-subject variation of CMRO2 of 8% across runs and 33% across days. BOLD (46% across runs, 36% across days), CBF (33% across runs, 46% across days) and M (41% across days) showed significantly higher intra-subject variability. Inter-subject variability was found to be high for all quantities, though CMRO2 was the most consistent across brain regions. The results of this study provide evidence that calibrated BOLD may be a viable alternative for longitudinal and cognitive MRI studies.

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The peroxisome proliferator-activated receptor gamma (PPARgamma) is abundantly expressed in adipocytes, and plays an important role in adipocyte differentiation and fat accretion. It is a heterodimeric partner of the retinoid X receptors alpha, beta and gamma, which are also expressed in the adipose tissue. As lethality of PPARgamma(-/-) and RXRalpha(-/-) mouse fetuses precluded the analysis of PPARgamma and RXRalpha functions in mature adipocytes, we generated RXRalpha(ad-/-) and PPARgamma(ad-/-) mice, in which RXRalpha and PPARgamma are selectively ablated in adult adipocytes, respectively. Even though the adiposity of RXRalpha(ad-/-) mice is similar to that of control mice when fed a regular diet, they are resistant to chemically and dietary-induced obesity. However, mature adipocytes lacking either both RXRalpha and RXRgamma or PPARgamma die, and are replaced by newly formed adipocytes. Thus, in adipocytes, RXRalpha is essential for lipogenesis, but RXRgamma can functionally replace RXRalpha for the adipocyte vital functions exerted by PPARgamma/RXR heterodimers.

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Recently graph theory and complex networks have been widely used as a mean to model functionality of the brain. Among different neuroimaging techniques available for constructing the brain functional networks, electroencephalography (EEG) with its high temporal resolution is a useful instrument of the analysis of functional interdependencies between different brain regions. Alzheimer's disease (AD) is a neurodegenerative disease, which leads to substantial cognitive decline, and eventually, dementia in aged people. To achieve a deeper insight into the behavior of functional cerebral networks in AD, here we study their synchronizability in 17 newly diagnosed AD patients compared to 17 healthy control subjects at no-task, eyes-closed condition. The cross-correlation of artifact-free EEGs was used to construct brain functional networks. The extracted networks were then tested for their synchronization properties by calculating the eigenratio of the Laplacian matrix of the connection graph, i.e., the largest eigenvalue divided by the second smallest one. In AD patients, we found an increase in the eigenratio, i.e., a decrease in the synchronizability of brain networks across delta, alpha, beta, and gamma EEG frequencies within the wide range of network costs. The finding indicates the destruction of functional brain networks in early AD.

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Hepatitis C virus (HCV) replicates its genome in a membrane-associated replication complex, composed of viral proteins, replicating RNA and altered cellular membranes. We describe here HCV replicons that allow the direct visualization of functional HCV replication complexes. Viable replicons selected from a library of Tn7-mediated random insertions in the coding sequence of nonstructural protein 5A (NS5A) allowed the identification of two sites near the NS5A C terminus that tolerated insertion of heterologous sequences. Replicons encoding green fluorescent protein (GFP) at these locations were only moderately impaired for HCV RNA replication. Expression of the NS5A-GFP fusion protein could be demonstrated by immunoblot, indicating that the GFP was retained during RNA replication and did not interfere with HCV polyprotein processing. More importantly, expression levels were robust enough to allow direct visualization of the fusion protein by fluorescence microscopy. NS5A-GFP appeared as brightly fluorescing dot-like structures in the cytoplasm. By confocal laser scanning microscopy, NS5A-GFP colocalized with other HCV nonstructural proteins and nascent viral RNA, indicating that the dot-like structures, identified as membranous webs by electron microscopy, represent functional HCV replication complexes. These findings reveal an unexpected flexibility of the C-terminal domain of NS5A and provide tools for studying the formation and turnover of HCV replication complexes in living cells.

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The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structural connectivity of the human brain and explore the capacity of these measures to predict resting-state functional connectivity across three independently acquired datasets. We focus on the layout of shortest paths across the network and on two communication measures-search information and path transitivity-which account for how these paths are embedded in the rest of the network. Search information is an existing measure of information needed to access or trace shortest paths; we introduce path transitivity to measure the density of local detours along the shortest path. We find that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs. They do so at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics. This capacity suggests that dynamic couplings due to interactions among neural elements in brain networks are substantially influenced by the broader network context adjacent to the shortest communication pathways.

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Ce texte relate l'étude de validation d'une adaptation francophone du Q-Sort d'attachement de Waters et Deane (cette adaptation est présentée dans ce même numéro). Le Q-Sort rempli par les parents ne paraît pas tenir ses promesses de méthode alternative à la Situation étrange pour évaluer la qualité de la relation d'attachement. Cependant, lorsqu'il est rempli par un observateur extérieur, il semble mieux refléter la catégorisation des comportements dans la Situation étrange. Au travers du Q-Sort, les parents semblent décrire davantage le tempérament de l'enfant que la qualité de la relation d'attachement.

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Summary : The skin is a complex organ that protects the body against entry of pathogens and supplies a relatively dry and impermeable barrier to water loss. This barrier function is mainly provided by the epidermis, which is the outermost layer of the skin. Serine proteases are involved in skin physiology and it is known that mutations or alterations in their expression can lead to skin diseases. In order to investigate the importance of the regulated expression of CAPI/Prss8, a membrane bound serine protease expressed in the epidermis, we developed transgenic mice ectopically expressing CAPI/Prss8 in the skin. These animals exhibited a phenotype characterized by scaly skin, epidermal hypertrophy, inflammation and scratching behavior. This phenotype could be completely abolished in mice lacking the proteinase activated receptor 2 (PAR2) revealing PAR2 as a potential in vivo downstream target of CAP 1 /Prss8. We could also provide evidence of a CAP1 /Prss8 function independent of its catalytic activity. Additionally, mice ectopically expressing PAR2 in the skin developed a skin phenotype very similar to CAPI/Prss8 transgenic animals, supporting the hypothesis of PAR2 activation by CAPI/Prss8. We could furthermore demonstrate an inhibitory effect of the serine protease inhibitor nexin-I on CAPI/Prss8, since nexin-1 transgenic expression negated the skin phenotype observed in CAPI/Prss8 transgenic mice. CAP1/Prss8 and PAR2 transgenic animals, and the understanding of the interaction between CAPl/Prss8 and PAR2, can be helpful in developing potential CAPI/Prss8 and PAR2 inhibitory molecules that may be used as drugs to treat ichthyoses-like skin diseases. Résumé : La peau est un organe complexe qui protège le corps contre l'entrée des pathogènes et forme une barrière imperméable qui empêche la déshydratation. Cette fonction de barrière est surtout fournie par l'épiderme, la couche la plus superficielle de la peau. Le bon fonctionnement de cet organe est permis, entre autres, par les protéases à sérine qui sont des enzymes dont l'altération peut causer des maladies de la peau. Pour étudier l'importance de la régulation de CAP1/Prss8, une protéase à sérine exprimée au niveau de l'épiderme, des souris génétiquement modifiées, dans lesquelles CAP1/Prss8 est exprimé d'une manière ectopique dans la peau, ont été générées. Les animaux transgéniques pour CAP1/Prss8 présentent une peau squameuse, un épiderme hypertrophique, des processus inflammatoires et se grattent. Ce phénotype a pu être complètement guéri lorsque le gène de PAR2, un récepteur qui règle l'activité des cellules de l'épiderme, est inactivé chez la souris. Ceci montre que PAR2 est une cible de CAP1/Prss8 dans le système étudié. Des études expérimentales suggèrent de plus que l'effet de CAP1/Prss8 dans ce modèle ne dépend pas de son activité enzymatique. En dernière analyse, il a été démontré que l'expression transgénique de nexin-1, un inhibiteur des protéases à sérine exprimé dans la peau, a la capacité d'améliorer la peau squameuse et l'épiderme hypertrophique causés par CAP1/Prss8 transgénique. Les animaux transgéniques pour CAP1/Prss8 et PAR2, et la compréhension du mécanisme d'interaction entre eux, pourraient aider à développer et à tester des molécules inhibitrices de CAP1 /Prss8 et PARI qui pourraient alors être utilisées comme médicaments pour traiter des maladies de la peau comme les ichthyoses.

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Eukaryotic gene expression depends on a complex interplay between the transcriptional apparatus and chromatin structure. We report here a yeast model system for investigating the functional interaction between the human estrogen receptor (hER) and CTF1, a member of the CTF/NFI transcription factor family. We show that a CTF1-fusion protein and the hER transactivate a synthetic promoter in yeast in a synergistic manner. This interaction requires the proline-rich transactivation domain of CTF1. When the natural estrogen-dependent vitellogenin B1 promoter is tested in yeast, CTF1 and CTF1-fusion proteins are unable to activate transcription, and no synergy is observed between hER, which activates the B1 promoter, and these factors. Chromatin structure analysis on this promoter reveals positioned nucleosomes at -430 to -270 (+/-20 bp) and at -270 to - 100 (+/-20 bp) relative to the start site of transcription. The positions of the nucleosomes remain unchanged upon hormone-dependent transcriptional activation of the promoter, and the more proximal nucleosome appears to mask the CTF/NFI site located at - 101 to -114. We conclude that a functional interaction of hER with the estrogen response element located upstream of a basal promoter occurs in yeast despite the nucleosomal organization of this promoter, whereas the interaction of CTF1 with its target site is apparently precluded by a nucleosome.