A beta-adrenergic receptor kinase-like enzyme is involved in olfactory signal termination.

We have previously shown that second-messenger-dependent kinases (cAMP-dependent kinase, protein kinase C) in the olfactory system are essential in terminating second-messenger signaling in response to odorants. We now document that subtype 2 of the beta-adrenergic receptor kinase (beta ARK) is also involved in this process. By using subtype-specific antibodies to beta ARK-1 and beta ARK-2, we show that beta ARK-2 is preferentially expressed in the olfactory epithelium in contrast to findings in most other tissues. Heparin, an inhibitor of beta ARK, as well as anti-beta ARK-2 antibodies, (i) completely prevents the rapid decline of second-messenger signals (desensitization) that follows odorant stimulation and (ii) strongly inhibits odorant-induced phosphorylation of olfactory ciliary proteins. In contrast, beta ARK-1 antibodies are without effect. Inhibitors of protein kinase A and protein kinase C also block odorant-induced desensitization and phosphorylation. These data suggest that a sequential interplay of second-messenger-dependent and receptor-specific kinases is functionally involved in olfactory desensitization.

Adrenergic receptors. Models for regulation of signal transduction processes.

Adrenergic receptors are prototypic models for the study of the relations between structure and function of G protein-coupled receptors. Each receptor is encoded by a distinct gene. These receptors are integral membrane proteins with several striking structural features. They consist of a single subunit containing seven stretches of 20-28 hydrophobic amino acids that represent potential membrane-spanning alpha-helixes. Many of these receptors share considerable amino acid sequence homology, particularly in the transmembrane domains. All of these macromolecules share other similarities that include one or more potential sites of extracellular N-linked glycosylation near the amino terminus and several potential sites of regulatory phosphorylation that are located intracellularly. By using a variety of techniques, it has been demonstrated that various regions of the receptor molecules are critical for different receptor functions. The seven transmembrane regions of the receptors appear to form a ligand-binding pocket. Cysteine residues in the extracellular domains may stabilize the ligand-binding pocket by participating in disulfide bonds. The cytoplasmic domains contain regions capable of interacting with G proteins and various kinases and are therefore important in such processes as signal transduction, receptor-G protein coupling, receptor sequestration, and down-regulation. Finally, regions of these macromolecules may undergo posttranslational modifications important in the regulation of receptor function. Our understanding of these complex relations is constantly evolving and much work remains to be done. Greater understanding of the basic mechanisms involved in G protein-coupled, receptor-mediated signal transduction may provide leads into the nature of certain pathophysiological states.

Comparing the model-simulated global warming signal to observations using empirical estimates of unforced noise.

The comparison of observed global mean surface air temperature (GMT) change to the mean change simulated by climate models has received much public and scientific attention. For a given global warming signal produced by a climate model ensemble, there exists an envelope of GMT values representing the range of possible unforced states of the climate system (the Envelope of Unforced Noise; EUN). Typically, the EUN is derived from climate models themselves, but climate models might not accurately simulate the correct characteristics of unforced GMT variability. Here, we simulate a new, empirical, EUN that is based on instrumental and reconstructed surface temperature records. We compare the forced GMT signal produced by climate models to observations while noting the range of GMT values provided by the empirical EUN. We find that the empirical EUN is wide enough so that the interdecadal variability in the rate of global warming over the 20(th) century does not necessarily require corresponding variability in the rate-of-increase of the forced signal. The empirical EUN also indicates that the reduced GMT warming over the past decade or so is still consistent with a middle emission scenario's forced signal, but is likely inconsistent with the steepest emission scenario's forced signal.

Signal Improvement and Contrast Enhancement in Magnetic Resonance Imaging

This thesis reports advances in magnetic resonance imaging (MRI), with the ultimate goal of improving signal and contrast in biomedical applications. More specifically, novel MRI pulse sequences have been designed to characterize microstructure, enhance signal and contrast in tissue, and image functional processes. In this thesis, rat brain and red bone marrow images are acquired using iMQCs (intermolecular multiple quantum coherences) between spins that are 10 μm to 500 μm apart. As an important application, iMQCs images in different directions can be used for anisotropy mapping. We investigate tissue microstructure by analyzing anisotropy mapping. At the same time, we simulated images expected from rat brain without microstructure. We compare those with experimental results to prove that the dipolar field from the overall shape only has small contributions to the experimental iMQC signal. Besides magnitude of iMQCs, phase of iMQCs should be studied as well. The phase anisotropy maps built by our method can clearly show susceptibility information in kidneys. It may provide meaningful diagnostic information. To deeply study susceptibility, the modified-crazed sequence is developed. Combining phase data of modified-crazed images and phase data of iMQCs images is very promising to construct microstructure maps. Obviously, the phase image in all above techniques needs to be highly-contrasted and clear. To achieve the goal, algorithm tools from Susceptibility-Weighted Imaging (SWI) and Susceptibility Tensor Imaging (STI) stands out superb useful and creative in our system.

The role of stimulus salience and attentional capture across the neural hierarchy in a stop-signal task.

Inhibitory motor control is a core function of cognitive control. Evidence from diverse experimental approaches has linked this function to a mostly right-lateralized network of cortical and subcortical areas, wherein a signal from the frontal cortex to the basal ganglia is believed to trigger motor-response cancellation. Recently, however, it has been recognized that in the context of typical motor-control paradigms those processes related to actual response inhibition and those related to the attentional processing of the relevant stimuli are highly interrelated and thus difficult to distinguish. Here, we used fMRI and a modified Stop-signal task to specifically examine the role of perceptual and attentional processes triggered by the different stimuli in such tasks, thus seeking to further distinguish other cognitive processes that may precede or otherwise accompany the implementation of response inhibition. In order to establish which brain areas respond to sensory stimulation differences by rare Stop-stimuli, as well as to the associated attentional capture that these may trigger irrespective of their task-relevance, we compared brain activity evoked by Stop-trials to that evoked by Go-trials in task blocks where Stop-stimuli were to be ignored. In addition, region-of-interest analyses comparing the responses to these task-irrelevant Stop-trials, with those to typical relevant Stop-trials, identified separable activity profiles as a function of the task-relevance of the Stop-signal. While occipital areas were mostly blind to the task-relevance of Stop-stimuli, activity in temporo-parietal areas dissociated between task-irrelevant and task-relevant ones. Activity profiles in frontal areas, in turn, were activated mainly by task-relevant Stop-trials, presumably reflecting a combination of triggered top-down attentional influences and inhibitory motor-control processes.

Le rôle de l'hormone anti-müillerienne dans la régulation du fonctionnement de l'ovaire. Revue de la littérature

Anti-mullerian hormone, also called AMH, belongs to the large family of transforming growth factor P. Its role in the sexual differentiation of male fetus is now well known. Recently, AMH has been demonstrated to play an important role in the ovarian function. In fact, AMH seems to regulate the kinetics of follicular development, inhibiting the follicular recruitment and the follicular growth. Thus, this intra-gonadic cybernin could be a decisive determinant of the rapidity of follicular pool exhaustion. Today, some experimental data from the literature suggest that AMH could be a reliable marker of ovarian reserve. This review summarizes the present knowledge about AMH and its role in physiology but also in ovarian pathology.

Les facteurs de transcription du groupe PEA3: Régulateurs transcriptionnels dans le processus de cancérisation

Erm, Er81, and Pea3 are the three members of the PEA3 group which belong to the Ets transcription factors family. These proteins regulate transcription of multiple target genes, such as those encoding several matrix metalloproteinases (MMP), which are enzymes degrading the extracellular matrix during cancer metastasis. In fact, PEA3-group genes are often overexpressed in different types of human cancers that also over-express these MMP and display a disseminating phenotype. In experimental models, regulation of PEA3 group member expression has been shown to influence the metastatic process, thus suggesting that these factors play a key role in metastasis. © John Libbey Eurotext.

La place de la chimiothérapie dans le traitement du cancer broncho pulmonaire

SCOPUS: ar.j

Un antigène soluble du virus de la mosaïque du tabac

SCOPUS: ar.j

A new inversion procedure for confocal scanning microscopy and other bandlimited signal processing problems

We find a simple analytic expression for the inverse of an infinite matrix related to the problem of data reduction in confocal scanning microscopy and other band-limited signal processing problems. Potential applications of this result to practical problems are outlined. The matrix arises from a sampling expansion approach to the integral equation.

Effet du bromouracile sur la synthèse et la structure des protéines de phages

Doctorat en Sciences

Traitement de données issues d'un corpus écrit multilingue. Approche agile pour l'analyse du discours eurorégional

L'article présente quelques éléments de la procédure mise en place pour traiter un corpus écrit comportant 617 textes (près de 500 000 mots) relatifs aux eurorégions. Complexe et hétérogène à plusieurs titres (technique, linguistique, éditorial, générique, énonciatif), le corpus pose la difficulté majeure de l’appréhension de données multilingues (français, italien, espagnol, anglais, allemand, néerlandais). Sa manipulation a nécessité une réflexion adaptée et une démarche de modélisation que nous qualifions d’« agile » en raison de son caractère souple et itératif. La plateforme d’analyse élaborée permet de disposer de résultats utiles à l’analyse qualitative ultérieure du discours eurorégional. Elle articule un logiciel d'analyse morphosyntaxique éprouvé (TreeTagger) à des programmes (Perl) et à une base de données (SQLite) développés pour optimiser les requêtes multilingues simultanées et l’exportation automatique des résultats. Les fonctionnalités liées à la localisation contextualisée de mots- pivots, au recueil de dénominations et à la détection de segments répétés nous servent ici de guides pour exprimer les besoins de la recherche, les problèmes rencontrés et les solutions proposées. L'analyse d'observables récurrents, à savoir les notions de décision et de responsabilité, illustre le propos.