Mécanismes moléculaires de la sécrétion d'insuline : implication de Slac2c/MyRIP, protéine effectrice de Rab27a, et rôle des phosphoinositides dans le processus d'exocytose

Résumé : La sécrétion de l'insuline en réponse au glucose circulant dans le sang est la fonction principale de la cellule β. La perte de cette fonction est une des caractéristiques du diabète de type 2. L'exocytose est une fonction cellulaire indispensable au renouvellement des composants lipidiques et protéiques de la membrane cellulaire, à la communication entre les cellules et au maintien d'un environnement adéquat. On peut distinguer deux types d'exocytose : l'exocytose constitutive et l'exocytose régulée. Cette dernière est déclenchée par des stimuli externes. L'exocytose régulée est contrôlée au niveau de la fusion des vésicules de sécrétion avec la membrane plasmique. Certains composants moléculaires impliqués dans ce processus font partie de la famille des GTPases Rab. Les deux membres de cette famille impliqués sont Rab3 et Rab27. Nous avons étudié le rôle de la GTPase Rab27 dans les cellules INS-1E, une lignée cellulaire pancréatique β qui sécrète de l'insuline de façon régulée. Nous avons trouvé que la diminution d'expression de la protéine en utilisant le technique de « RNA interference » diminue la sécrétion stimulée, mais que la distribution des granules n'est nullement affectées par ce changement d'activité intrinsèque. Un des effecteurs identifiés de cette GTPase est Slac2c/MyRIP. Cette protéine possède plusieurs domaines fonctionnels dont un qui lui permet de se lier à l'actine, constituant du cytosquelette cellulaire. L'ensemble de nos résultats suggèrent que Rab27 et MyRIP font partie d'un complexe permettant l'interaction de la granule de sécrétion avec le cytosquelette d'actine corticale et participent à la régulation des dernières étapes de l'exocytose d'insuline. Ensuite, nous avons étudié les phosphoinositides (PI). Les phosphoinositides sont d'importantes molécules impliquées dans le régulation du trafic vésiculaire. Nous avons trouvé que le phosphatidylinosito1-4-phosphate (PI4P) et le phosphatidylinositol-4,5-biphosphate (PI(4,5)P2) augmentent la sécrétion sous l'action de 10µM de Ca2+ dans les cellules INS-1E perméabilisées avec la streptolysine-O. En plus, nous avons démontré que l'exocytose est diminuée dans les cellules intactes exprimant une protéine qui séquestre le PI(4,5)P2. Une diminution similaire est observée en diminuant l'expression de deux enzymes impliquées dans la production du PI(4,5)P2, la PI4Kinase β type III et la PIP5Kinase γ type I. Pour clarifier le mécanisme d'action des PI, nous avons investigué l'implication de trois cibles potentielles des PI, la PLD1, CAPS1 et Mint1. Pour ce faire, nous avons réduit le niveau d'expression endogène de ces protéines, ce qui inhibe la libération d'hormones provoquée par le glucose. Tout ceci indique donc que la production du PI(4,5)P2 est nécessaire pour le contrôle de la sécrétion et suggère qu'une partie de l'effet du PI sur la sécrétion pourrait être exercé par l'activation de la PLD1, CAPS1 et Mint1. Abstract Insulin release from pancreatic β-cells plays an essential role in the achievement of blood glucose homeostasis and defects in the regulation of this process lead to profound metabolic disorders and hyperglycaemia (eg. type 2 diabetes). Almost every cell in our organism releases proteins and other biological compounds using a fundamental cellular process known as constitutive exocytosis. In exocrine and endocrine glands, the cells are endowed with an additional and more refined release mechanism directly tuned by extracellular signals. This process, referred to as regulated exocytosis, ensures the timely delivery of molecules such as peptide hormones and digestive enzymes to match the moment¬-to-moment requirements of the organism. Some of the molecular components involved in this process have been identified, including Rab3 and Rab27, two GTPases that regulate the final steps of secretion in many cells. We investigated the involvement of Rab27 GTPase in the secretory process of the insulin-secreting cell line INS-1E. We found that selective reduction of Rab27 expression by RNA interference did not alter granule distribution but impaired exocytosis triggered by insulin secretagogues. Screening for potential effectors revealed that Slac2c/MyRIP is associated with granules and attenuation of Slac2c expression severely impaired hormone release. This protein contains several functional domains, including, a binding domain for the cellular cytoskeleton constituent actin. Taken together our data suggest the Rab27 and MyRIP are part of a complex mediating the interaction of secretory granules with cortical cytoskeleton and participate to the regulation of the final steps in insulin exoctytosis. In the second part of the thesis, we studied phosphoinositides (PI). Phosphoinositides are important molecules involved in the regulation of vesicular trafficking. We found that phosphatidylinosito1-4-phosphate (PI4P) and phosphatidylinosito1-4,5-biphosphate (PI(4,5)P2) increase the secretory response triggered by 10µM Ca2+ in streptolysin-O permeabilized insulin-secreting INS-1E cells. In addition, nutrient-induced exocytosis was diminished in intact cells expressing constructs that sequester PI(4,5)P2. A similar decrease was observed after silencing of two enzymes involved in PI(4,5)P2 production, type III PI4Kinase β and type I PIP5Kinase γ, by RNA interference. To clarify the mechanism of action of PI, we investigated the involvement in the regulation of exocytosis of three potential PI targets, PLD1, CAPS1 and Mint1. Transfection of cells with silencers capable of reducing the endogenous levels of these proteins inhibited hormone release elicited by glucose. Our data indicate that the production PI(4,5)P2 is necessary for proper control of p-cell secretion and suggest that at least part of the effects of PI on insulin exocytosis could be exerted through the activation of PLD1, CAPS1 and Mint1.

Residence time, expansion toward the equator in the invaded range and native range size matter to climatic niche shifts in non-native species

Aim Identifying climatic niche shifts and their drivers is important to accurately predict the risk of biological invasions. The niches of non-native plants and birds have recently been assessed in large-scale multi-species studies, but such large-scale tests are lacking for non-native reptiles and amphibians (herpetofauna). Furthermore, little is known about the factors contributing to niche shifts when they occur. Based on the occurrence of 71 reptile and amphibian species, we compared native and non-native realized niches in 101 invaded ranges at a worldwide scale and identified the factors that affect niche shifts. Location The world except the Antarctic. Methods We assessed climatic niche dynamics in a gridded environmental space allowing the quantification of niche overlap and expansion into climatic conditions not colonized by the species in their native range. We analyzed the factors affecting niche shifts using a model averaging approach based on generalized linear mixed-effects models. Results Approximately 57% of the invaded ranges (51% for amphibians and 61% for reptiles) showed niche shifts (≥10% expansion in the realized climatic niche). Island endemics, species introduced to Oceania and invaded ranges outside the native biogeographic realm showed a higher proportion of niche shifts. Niche shifts were more likely for species that had smaller native range sizes, were introduced earlier into a new range or invaded areas located at lower latitudes than the native range. Main conclusions The proportion of niche shifts for non-native herpetofauna was higher than those for Holarctic non-native plants and European non-native birds. The 'climate matching hypothesis' should be used with caution for species shifting their niche because it could underestimate the risk of their establishment.

The global activator GacA of Pseudomonas aeruginosa PAO positively controls the production of the autoinducer N-butyryl-homoserine lactone and the formation of the virulence factors pyocyanin, cyanide, and lipase.

The global activator GacA, a highly conserved response regulator in Gram-negative bacteria, is required for the production of exoenzymes and secondary metabolites in Pseudomonas spp. The gacA gene of Pseudomonas aeruginosa PAO1 was isolated and its role in cell-density-dependent gene expression was characterized. Mutational inactivation of gacA resulted in delayed and reduced formation of the cell-density signal N-butyryl-L-homoserine lactone (BHL), of the cognate transcriptional activator RhIR (VsmR), and of the transcriptional activator LasR, which is known to positively regulate RhIR expression. Amplification of gacA on a multicopy plasmid caused precocious and enhanced production of BHL, RhIR and LasR. In parallel, the gacA gene dosage markedly influenced the BHL/RhIR-dependent formation of the cytotoxic compounds pyocyanin and cyanide and the exoenzyme lipase. However, the concentrations of another known cell-density signal of P. aeruginosa, N-oxododecanoyl-L-homoserine lactone, did not always match BHL concentrations. A model accounting for these observations places GacA function upstream of LasR and RhIR in the complex, cell-density-dependent signal-transduction pathway regulating several exoproducts and virulence factors of P. aeruginosa via BHL.

A review of atlas-based segmentation for magnetic resonance brain images.

Normal and abnormal brains can be segmented by registering the target image with an atlas. Here, an atlas is defined as the combination of an intensity image (template) and its segmented image (the atlas labels). After registering the atlas template and the target image, the atlas labels are propagated to the target image. We define this process as atlas-based segmentation. In recent years, researchers have investigated registration algorithms to match atlases to query subjects and also strategies for atlas construction. In this paper we present a review of the automated approaches for atlas-based segmentation of magnetic resonance brain images. We aim to point out the strengths and weaknesses of atlas-based methods and suggest new research directions. We use two different criteria to present the methods. First, we refer to the algorithms according to their atlas-based strategy: label propagation, multi-atlas methods, and probabilistic techniques. Subsequently, we classify the methods according to their medical target: the brain and its internal structures, tissue segmentation in healthy subjects, tissue segmentation in fetus, neonates and elderly subjects, and segmentation of damaged brains. A quantitative comparison of the results reported in the literature is also presented.

Are niche-based species distribution models transferable in space?

Aim To assess the geographical transferability of niche-based species distribution models fitted with two modelling techniques. Location Two distinct geographical study areas in Switzerland and Austria, in the subalpine and alpine belts. Methods Generalized linear and generalized additive models (GLM and GAM) with a binomial probability distribution and a logit link were fitted for 54 plant species, based on topoclimatic predictor variables. These models were then evaluated quantitatively and used for spatially explicit predictions within (internal evaluation and prediction) and between (external evaluation and prediction) the two regions. Comparisons of evaluations and spatial predictions between regions and models were conducted in order to test if species and methods meet the criteria of full transferability. By full transferability, we mean that: (1) the internal evaluation of models fitted in region A and B must be similar; (2) a model fitted in region A must at least retain a comparable external evaluation when projected into region B, and vice-versa; and (3) internal and external spatial predictions have to match within both regions. Results The measures of model fit are, on average, 24% higher for GAMs than for GLMs in both regions. However, the differences between internal and external evaluations (AUC coefficient) are also higher for GAMs than for GLMs (a difference of 30% for models fitted in Switzerland and 54% for models fitted in Austria). Transferability, as measured with the AUC evaluation, fails for 68% of the species in Switzerland and 55% in Austria for GLMs (respectively for 67% and 53% of the species for GAMs). For both GAMs and GLMs, the agreement between internal and external predictions is rather weak on average (Kulczynski's coefficient in the range 0.3-0.4), but varies widely among individual species. The dominant pattern is an asymmetrical transferability between the two study regions (a mean decrease of 20% for the AUC coefficient when the models are transferred from Switzerland and 13% when they are transferred from Austria). Main conclusions The large inter-specific variability observed among the 54 study species underlines the need to consider more than a few species to test properly the transferability of species distribution models. The pronounced asymmetry in transferability between the two study regions may be due to peculiarities of these regions, such as differences in the ranges of environmental predictors or the varied impact of land-use history, or to species-specific reasons like differential phenotypic plasticity, existence of ecotypes or varied dependence on biotic interactions that are not properly incorporated into niche-based models. The lower variation between internal and external evaluation of GLMs compared to GAMs further suggests that overfitting may reduce transferability. Overall, a limited geographical transferability calls for caution when projecting niche-based models for assessing the fate of species in future environments.

Comparaison de la diversité et de la densité morphologiques dans trois types de données

This paper compares the inflectional diversity and density of adjectives and verbs in French CS, CDS, and ADS samples in a social perspective. The aim of the study is to show that the relation between CS, CDS, and ADS is not identical as far as verb and adjective inflection is concerned. We firstly expected verb inflectional morphology to be less diverse and dense in CDS and CS than in ADS. Conversely, we predicted adjective inflectional diversity and density to be higher in CDS and CS. Interestingly the findings do not exactly match the first prediction. The social implications of the study are discussed.

Simulated-annealing-based conditional simulation for the local-scale characterization of heterogeneous aquifers

Simulated-annealing-based conditional simulations provide a flexible means of quantitatively integrating diverse types of subsurface data. Although such techniques are being increasingly used in hydrocarbon reservoir characterization studies, their potential in environmental, engineering and hydrological investigations is still largely unexploited. Here, we introduce a novel simulated annealing (SA) algorithm geared towards the integration of high-resolution geophysical and hydrological data which, compared to more conventional approaches, provides significant advancements in the way that large-scale structural information in the geophysical data is accounted for. Model perturbations in the annealing procedure are made by drawing from a probability distribution for the target parameter conditioned to the geophysical data. This is the only place where geophysical information is utilized in our algorithm, which is in marked contrast to other approaches where model perturbations are made through the swapping of values in the simulation grid and agreement with soft data is enforced through a correlation coefficient constraint. Another major feature of our algorithm is the way in which available geostatistical information is utilized. Instead of constraining realizations to match a parametric target covariance model over a wide range of spatial lags, we constrain the realizations only at smaller lags where the available geophysical data cannot provide enough information. Thus we allow the larger-scale subsurface features resolved by the geophysical data to have much more due control on the output realizations. Further, since the only component of the SA objective function required in our approach is a covariance constraint at small lags, our method has improved convergence and computational efficiency over more traditional methods. Here, we present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on a synthetic data set, and then applied to data collected at the Boise Hydrogeophysical Research Site.