Gene expression profiling of rat spermatogonia and Sertoli cells reveals signaling pathways from stem cells to niche and testicular cancer cells to surrounding stroma.

Background: Stem cells and their niches are studied in many systems, but mammalian germ stem cells (GSC) and their niches are still poorly understood. In rat testis, spermatogonia and undifferentiated Sertoli cells proliferate before puberty, but at puberty most spermatogonia enter spermatogenesis, and Sertoli cells differentiate to support this program. Thus, pre-pubertal spermatogonia might possess GSC potential and pre-pubertal Sertoli cells niche functions. We hypothesized that the different stem cell pools at pre-puberty and maturity provide a model for the identification of stem cell and niche-specific genes. We compared the transcript profiles of spermatogonia and Sertoli cells from pre-pubertal and pubertal rats and examined how these related to genes expressed in testicular cancers, which might originate from inappropriate communication between GSCs and Sertoli cells. Results: The pre-pubertal spermatogonia-specific gene set comprised known stem cell and spermatogonial stem cell (SSC) markers. Similarly, the pre-pubertal Sertoli cell-specific gene set comprised known niche gene transcripts. A large fraction of these specifically enriched transcripts encoded trans-membrane, extra-cellular, and secreted proteins highlighting stem cell to niche communication. Comparing selective gene sets established in this study with published gene expression data of testicular cancers and their stroma, we identified sets expressed genes shared between testicular tumors and pre-pubertal spermatogonia, and tumor stroma and pre-pubertal Sertoli cells with statistic significance. Conclusions: Our data suggest that SSC and their niche specifically express complementary factors for cell communication and that the same factors might be implicated in the communication between tumor cells and their micro-enviroment in testicular cancer.

Differential expression of 240 kDa ConA-binding glycoprotein in vitro and in vivo detected by immunochemical methods.

The expression of the 240 ConA-binding glycoprotein (240 kDa), a marker of synaptic junctions isolated from the rat cerebellum, was studied by immunocytochemical techniques in forebrain and cerebellum from rat and chicken, and in chick dorsal root ganglia. Parallel studies were carried out either on tissue sections or in dissociated cell cultures. In all cases non neuronal cells were not immunostained. The tissue sections of cerebellum from rat and chick exhibited 240 kDa glycoprotein immunoreactivity, especially in the molecular layer, while the forebrain sections from rat and chick did not show any significant immunostaining. In contrast, in dissociated forebrain cell cultures, all neuronal cells expressed 240 kDa glycoprotein immunoreactivity, while glial cells remained totally unlabelled. In tissue sections of dorsal root ganglion (DRG), sensory neurons expressed the 240 kDa only after the embryonic day (E 10). A large number of small neurons in the dorsomedial part of DRG were immunostained with 240 kDa glycoprotein antiserum, whereas only a small number of neurons in the ventrolateral part of the ganglia displayed 240 kDa immunoreactivity. In dissociated DRG cells cultures (mixed or neuron-enriched DRG cell cultures) all the neuronal perikarya but not their processes were stained. These studies indicate that 240 kDa glycoprotein expression is completely modified in cultures of neurons of CNS or PNS since the antigen becomes synthetized in high amount by all cells independent of synapse formation. This demonstrates that the expression of 240 kDa is controlled by the cell environment.

FADD adaptor and PEA-15/ERK1/2 partners in major depression and schizophrenia postmortem brains: Basal contents and effects of psychotropic treatments.

Enhanced brain apoptosis (neurons and glia) may be involved in major depression (MD) and schizophrenia (SZ), mainly through the activation of the intrinsic (mitochondrial) apoptotic pathway. In the extrinsic death pathway, pro-apoptotic Fas-associated death domain (FADD) adaptor and its non-apoptotic p-Ser194 FADD form have critical roles interacting with other death regulators such as phosphoprotein enriched in astrocytes of 15kDa (PEA-15) and extracellular signal-regulated kinase (ERK). The basal status of FADD (protein and messenger RNA (mRNA)) and the effects of psychotropic drugs (detected in blood/urine samples) were first assessed in postmortem prefrontal cortex of MD and SZ subjects (including a non-MD/SZ suicide group). In MD, p-FADD, but not total FADD (and mRNA), was increased (26%, n=24; all MD subjects) as well as p-FADD/FADD ratio (a pro-survival marker) in antidepressant-free MD subjects (50%, n=10). In contrast, cortical FADD (and mRNA), p-FADD, and p-FADD/FADD were not altered in SZ brains (n=21) regardless of antipsychotic medications (except enhanced mRNA in treated subjects). Similar negative results were quantified in the non-MD/SZ suicide group. In MD, the regulation of multifunctional PEA-15 (i.e., p-Ser116 PEA-15 blocks pro-apoptotic FADD and PEA-15 prevents pro-survival ERK action) and the modulation of p-ERK1/2 were also investigated. Cortical p-PEA-15 was not changed whereas PEA-15 was increased mainly in antidepressant-treated subjects (16-20%). Interestingly, cortical p-ERK1/2/ERK1/2 ratio was reduced (33%) in antidepressant-free when compared to antidepressant-treated MD subjects. The neurochemical adaptations of brain FADD (increased p-FADD and pro-survival p-FADD/FADD ratio), as well as its interaction with PEA-15, could play a major role to counteract the known activation of the mitochondrial apoptotic pathway in MD.

Bacterial diversity of soil under eucalyptus assessed by 16S rDNA sequencing analysis

Studies on the impact of Eucalyptus spp. on Brazilian soils have focused on soil chemical properties and isolating interesting microbial organisms. Few studies have focused on microbial diversity and ecology in Brazil due to limited coverage of traditional cultivation and isolation methods. Molecular microbial ecology methods based on PCR amplified 16S rDNA have enriched the knowledge of soils microbial biodiversity. The objective of this work was to compare and estimate the bacterial diversity of sympatric communities within soils from two areas, a native forest (NFA) and an eucalyptus arboretum (EAA). PCR primers, whose target soil metagenomic 16S rDNA were used to amplify soil DNA, were cloned using pGEM-T and sequenced to determine bacterial diversity. From the NFA soil 134 clones were analyzed, while 116 clones were analyzed from the EAA soil samples. The sequences were compared with those online at the GenBank. Phylogenetic analyses revealed differences between the soil types and high diversity in both communities. Soil from the Eucalyptus spp. arboretum was found to have a greater bacterial diversity than the soil investigated from the native forest area.

Characterization of the neuronal microtubule regulator SCG10 in transfected cells and " in vivo "

SUMMARY The ability of neuronal processes to find their way along complex paths and to establish appropriate connections depends on continual rearrangements of the cytoskeletal components. The regulation of microtubules plays an important role for morphological changes underlying nevrite outgrowth, axonal elongation, and growth cone steering. SCG10 (superior cervical ganglion clone 10) is a neuronal growthassociated protein developmentally regulated and highly enriched in the neuronal growth cones. SCG10 presents a microtubule destabilizing activity that could participate to the regulation of microtubule dynamics and thus explain microtubule behaviors in the growth cone during axonal elongation and turning. It is here suggested that a tight control of the opposite effects on microtubules of SCG10 and the stabilizing microtubule-associated protein MAP1B allows a fine tuning of cytoskeletal rearrangement and may provide the required microtubule dynamic instability to promote axonal growth. Moreover, antibodyblockade of SCG10 function, that leads to growth cone pauses similar as those triggered by the guidance molecule EphB, and the modulation of SCG10 activity by the Rho GTPase Rnd1 suggest a potential role for SCG10 in the signal transduction pathways of extracellular guidance cues. The identification of the active zone protein Bassoon as a potential interaction partner for the SCG10-related protein NPC2, using atomic force microscopy as well as COS-7 and neuronal cell cultures, also gives new insights for a role of this protein family into the processes of synapse genesis or plasticity. Finally, SCG10 mutant mice generated by gene targeting and expressing a soluble form of the protein have been characterized during early postnatal development and in the adulthood. Due to the deletion of its membrane binding domain, SCG10 specific subcellular targeting to growth cones is compromised and results in impairments of motor and coordination development. Further histological analysis in the sciatic nerve reveal that these symptoms are associated with neurodegenerative signs. RESUME Une navigation correcte des prolongements cellulaires neuronaux leur permettant de former des connections appropriées repose sur de continuels réarrangements des constituants de leur cytosquelette. La régulation des microtubules joue notamment un rôle important dans les changements morphologiques qui accompagnent la croissance axonale et les réorientations du cône de croissance. SCG10 (superior cervical ganglion clone 10) est une protéine étroitement associée à la croissance neuronale, hautement régulée durant le développement et abondante au niveau du cône de croissance. SCG10 présente une activité déstabilisatrice sur les microtubules qui pourrait permettre une régulation des paramètres dynamiques propres aux microtubules et ainsi expliquer leur comportement durant la navigation du cône de croissance. Il est ici proposé qu'un contrôle précis des effets opposés de SCG10 et d'une autre protéine stabilisante associée aux microtubules (MAP1 B) permette un réglage fin des réarrangements du cytosquelette et puisse ainsi produire l'instabilité dynamique nécessaire à la croissance anale. Par ailleurs, le blocage de la fonction de SCG10 par un anticorps spécifique, conduisant à des pauses du cônes de croissance similaires à celles provoquées par la molécule de guidage EphB, ainsi que la modulation de l'activité de SCG10 par la Rho GTPase Rnd1 suggèrent une potentielle implication de SCG10 dans les voies de transduction des signaux provenant de molécules de guidage extracellulaires. L'identification d'une interaction de la protéine synaptique Bassoon avec la protéine NPC2 apparentée à SCG10, au moyen de la microscopie à force atomique et dans des cultures de cellules neuronales et COS-7, ouvre des perspectives concernant ces protéines dans la formation et la plasticité synaptiques. Finalement, des souris mutantes pour SCG10 produites par ciblage de gène et exprimant une forme soluble de la protéine ont été caractérisées durant la phase précoce du développement et à l'âge adulte. La délétion du domaine permettant l'ancrage de SCG10 aux membranes compromet sa sub-localisation au niveau du cône de croissance et résulte en l'apparition de troubles moteurs et de la coordination. Des analyses histologiques complémentaires au niveau du nerf sciatique montrent que ces symptômes sont associés avec des signes neurodégénératifs.

Combined effects of endurance training and dietary unsaturated fatty acids on physical performance, fat oxidation and insulin sensitivity.

Endurance training improves exercise performance and insulin sensitivity, and these effects may be in part mediated by an enhanced fat oxidation. Since n-3 and n-9 unsaturated fatty acids may also increase fat oxidation, we hypothesised that a diet enriched in these fatty acids may enhance the effects of endurance training on exercise performance, insulin sensitivity and fat oxidation. To assess this hypothesis, sixteen normal-weight sedentary male subjects were randomly assigned to an isoenergetic diet enriched with fish and olive oils (unsaturated fatty acid group (UFA): 52 % carbohydrates, 34 % fat (12 % SFA, 12 % MUFA, 5 % PUFA), 14 % protein), or a control diet (control group (CON): 62 % carbohydrates, 24 % fat (12 % SFA, 6 % MUFA, 2 % PUFA), 14 % protein) and underwent a 10 d gradual endurance training protocol. Exercise performance was evaluated by measuring VO2max and the time to exhaustion during a cycling exercise at 80 % VO2max; glucose homeostasis was assessed after ingestion of a test meal. Fat oxidation was assessed by indirect calorimetry at rest and during an exercise at 50 % VO2max. Training significantly increased time to exhaustion, but not VO2max, and lowered incremental insulin area under the curve after the test meal, indicating improved insulin sensitivity. Those effects were, however, of similar magnitude in UFA and CON. Fat oxidation tended to increase in UFA, but not in CON. This difference was, however, not significant. It is concluded that a diet enriched with fish- and olive oil does not substantially enhance the effects of a short-term endurance training protocol in healthy young subjects.

Differential gene expression, induced by salicylic acid and Fusarium oxysporum f. sp. lycopersici infection, in tomato

The objective of this work was to determine the transcript profile of tomato plants (Lycopersicon esculentum Mill.), during Fusarium oxysporum f. sp. lycopersici infection and after foliar application of salicylic acid. The suppression subtractive hybridization (SSH) technique was used to generate a cDNA library enriched for transcripts differentially expressed. A total of 307 clones was identified in two subtractive libraries, which allowed the isolation of several defense-related genes that play roles in different mechanisms of plant resistance to phytopathogens. Genes with unknown roles were also isolated from the two libraries, which indicates the possibility of identifying new genes not yet reported in studies of stress/defense response. The SSH technique is effective for identification of resistance genes activated by salicylic acid and F. oxysporum f. sp. lycopersici infection. Not only the application of this technique enables a cost effective isolation of differentially expressed sequences, but also it allows the identification of novel sequences in tomato from a relative small number of sequences.

Machine learning for geospatial data : algorithms, software tools and case studies

Résumé Cette thèse est consacrée à l'analyse, la modélisation et la visualisation de données environnementales à référence spatiale à l'aide d'algorithmes d'apprentissage automatique (Machine Learning). L'apprentissage automatique peut être considéré au sens large comme une sous-catégorie de l'intelligence artificielle qui concerne particulièrement le développement de techniques et d'algorithmes permettant à une machine d'apprendre à partir de données. Dans cette thèse, les algorithmes d'apprentissage automatique sont adaptés pour être appliqués à des données environnementales et à la prédiction spatiale. Pourquoi l'apprentissage automatique ? Parce que la majorité des algorithmes d'apprentissage automatiques sont universels, adaptatifs, non-linéaires, robustes et efficaces pour la modélisation. Ils peuvent résoudre des problèmes de classification, de régression et de modélisation de densité de probabilités dans des espaces à haute dimension, composés de variables informatives spatialisées (« géo-features ») en plus des coordonnées géographiques. De plus, ils sont idéaux pour être implémentés en tant qu'outils d'aide à la décision pour des questions environnementales allant de la reconnaissance de pattern à la modélisation et la prédiction en passant par la cartographie automatique. Leur efficacité est comparable au modèles géostatistiques dans l'espace des coordonnées géographiques, mais ils sont indispensables pour des données à hautes dimensions incluant des géo-features. Les algorithmes d'apprentissage automatique les plus importants et les plus populaires sont présentés théoriquement et implémentés sous forme de logiciels pour les sciences environnementales. Les principaux algorithmes décrits sont le Perceptron multicouches (MultiLayer Perceptron, MLP) - l'algorithme le plus connu dans l'intelligence artificielle, le réseau de neurones de régression généralisée (General Regression Neural Networks, GRNN), le réseau de neurones probabiliste (Probabilistic Neural Networks, PNN), les cartes auto-organisées (SelfOrganized Maps, SOM), les modèles à mixture Gaussiennes (Gaussian Mixture Models, GMM), les réseaux à fonctions de base radiales (Radial Basis Functions Networks, RBF) et les réseaux à mixture de densité (Mixture Density Networks, MDN). Cette gamme d'algorithmes permet de couvrir des tâches variées telle que la classification, la régression ou l'estimation de densité de probabilité. L'analyse exploratoire des données (Exploratory Data Analysis, EDA) est le premier pas de toute analyse de données. Dans cette thèse les concepts d'analyse exploratoire de données spatiales (Exploratory Spatial Data Analysis, ESDA) sont traités selon l'approche traditionnelle de la géostatistique avec la variographie expérimentale et selon les principes de l'apprentissage automatique. La variographie expérimentale, qui étudie les relations entre pairs de points, est un outil de base pour l'analyse géostatistique de corrélations spatiales anisotropiques qui permet de détecter la présence de patterns spatiaux descriptible par une statistique. L'approche de l'apprentissage automatique pour l'ESDA est présentée à travers l'application de la méthode des k plus proches voisins qui est très simple et possède d'excellentes qualités d'interprétation et de visualisation. Une part importante de la thèse traite de sujets d'actualité comme la cartographie automatique de données spatiales. Le réseau de neurones de régression généralisée est proposé pour résoudre cette tâche efficacement. Les performances du GRNN sont démontrées par des données de Comparaison d'Interpolation Spatiale (SIC) de 2004 pour lesquelles le GRNN bat significativement toutes les autres méthodes, particulièrement lors de situations d'urgence. La thèse est composée de quatre chapitres : théorie, applications, outils logiciels et des exemples guidés. Une partie importante du travail consiste en une collection de logiciels : Machine Learning Office. Cette collection de logiciels a été développée durant les 15 dernières années et a été utilisée pour l'enseignement de nombreux cours, dont des workshops internationaux en Chine, France, Italie, Irlande et Suisse ainsi que dans des projets de recherche fondamentaux et appliqués. Les cas d'études considérés couvrent un vaste spectre de problèmes géoenvironnementaux réels à basse et haute dimensionnalité, tels que la pollution de l'air, du sol et de l'eau par des produits radioactifs et des métaux lourds, la classification de types de sols et d'unités hydrogéologiques, la cartographie des incertitudes pour l'aide à la décision et l'estimation de risques naturels (glissements de terrain, avalanches). Des outils complémentaires pour l'analyse exploratoire des données et la visualisation ont également été développés en prenant soin de créer une interface conviviale et facile à l'utilisation. Machine Learning for geospatial data: algorithms, software tools and case studies Abstract The thesis is devoted to the analysis, modeling and visualisation of spatial environmental data using machine learning algorithms. In a broad sense machine learning can be considered as a subfield of artificial intelligence. It mainly concerns with the development of techniques and algorithms that allow computers to learn from data. In this thesis machine learning algorithms are adapted to learn from spatial environmental data and to make spatial predictions. Why machine learning? In few words most of machine learning algorithms are universal, adaptive, nonlinear, robust and efficient modeling tools. They can find solutions for the classification, regression, and probability density modeling problems in high-dimensional geo-feature spaces, composed of geographical space and additional relevant spatially referenced features. They are well-suited to be implemented as predictive engines in decision support systems, for the purposes of environmental data mining including pattern recognition, modeling and predictions as well as automatic data mapping. They have competitive efficiency to the geostatistical models in low dimensional geographical spaces but are indispensable in high-dimensional geo-feature spaces. The most important and popular machine learning algorithms and models interesting for geo- and environmental sciences are presented in details: from theoretical description of the concepts to the software implementation. The main algorithms and models considered are the following: multi-layer perceptron (a workhorse of machine learning), general regression neural networks, probabilistic neural networks, self-organising (Kohonen) maps, Gaussian mixture models, radial basis functions networks, mixture density networks. This set of models covers machine learning tasks such as classification, regression, and density estimation. Exploratory data analysis (EDA) is initial and very important part of data analysis. In this thesis the concepts of exploratory spatial data analysis (ESDA) is considered using both traditional geostatistical approach such as_experimental variography and machine learning. Experimental variography is a basic tool for geostatistical analysis of anisotropic spatial correlations which helps to understand the presence of spatial patterns, at least described by two-point statistics. A machine learning approach for ESDA is presented by applying the k-nearest neighbors (k-NN) method which is simple and has very good interpretation and visualization properties. Important part of the thesis deals with a hot topic of nowadays, namely, an automatic mapping of geospatial data. General regression neural networks (GRNN) is proposed as efficient model to solve this task. Performance of the GRNN model is demonstrated on Spatial Interpolation Comparison (SIC) 2004 data where GRNN model significantly outperformed all other approaches, especially in case of emergency conditions. The thesis consists of four chapters and has the following structure: theory, applications, software tools, and how-to-do-it examples. An important part of the work is a collection of software tools - Machine Learning Office. Machine Learning Office tools were developed during last 15 years and was used both for many teaching courses, including international workshops in China, France, Italy, Ireland, Switzerland and for realizing fundamental and applied research projects. Case studies considered cover wide spectrum of the real-life low and high-dimensional geo- and environmental problems, such as air, soil and water pollution by radionuclides and heavy metals, soil types and hydro-geological units classification, decision-oriented mapping with uncertainties, natural hazards (landslides, avalanches) assessments and susceptibility mapping. Complementary tools useful for the exploratory data analysis and visualisation were developed as well. The software is user friendly and easy to use.

Extracellular vesicles from human cardiac progenitor cells inhibit cardiomyocyte apoptosis and improve cardiac function after myocardial infarction.

AIMS: Recent evidence suggests that cardiac progenitor cells (CPCs) may improve cardiac function after injury. The underlying mechanisms are indirect, but their mediators remain unidentified. Exosomes and other secreted membrane vesicles, hereafter collectively referred to as extracellular vesicles (EVs), act as paracrine signalling mediators. Here, we report that EVs secreted by human CPCs are crucial cardioprotective agents. METHODS AND RESULTS: CPCs were derived from atrial appendage explants from patients who underwent heart valve surgery. CPC-conditioned medium (CM) inhibited apoptosis in mouse HL-1 cardiomyocytic cells, while enhancing tube formation in human umbilical vein endothelial cells. These effects were abrogated by depleting CM of EVs. They were reproduced by EVs secreted by CPCs, but not by those secreted by human dermal fibroblasts. Transmission electron microscopy and nanoparticle tracking analysis showed most EVs to be 30-90 nm in diameter, the size of exosomes, although smaller and larger vesicles were also present. MicroRNAs most highly enriched in EVs secreted by CPCs compared with fibroblasts included miR-210, miR-132, and miR-146a-3p. miR-210 down-regulated its known targets, ephrin A3 and PTP1b, inhibiting apoptosis in cardiomyocytic cells. miR-132 down-regulated its target, RasGAP-p120, enhancing tube formation in endothelial cells. Infarcted hearts injected with EVs from CPCs, but not from fibroblasts, exhibited less cardiomyocyte apoptosis, enhanced angiogenesis, and improved LV ejection fraction (0.8 ± 6.8 vs. -21.3 ± 4.5%; P < 0.05) compared with those injected with control medium. CONCLUSION: EVs are the active component of the paracrine secretion by human CPCs. As a cell-free approach, EVs could circumvent many of the limitations of cell transplantation.

STAT3α interacts with nuclear GSK3beta and cytoplasmic RISK pathway and stabilizes rhythm in the anoxic-reoxygenated embryonic heart.

Activation of the Janus Kinase 2/Signal Transducer and Activator of Transcription 3 (JAK2/STAT3) pathway is known to play a key role in cardiogenesis and to afford cardioprotection against ischemia-reperfusion in adult. However, involvement of JAK2/STAT3 pathway and its interaction with other signaling pathways in developing heart transiently submitted to anoxia remains to be explored. Hearts isolated from 4-day-old chick embryos were submitted to anoxia (30 min) and reoxygenation (80 min) with or without the antioxidant MPG, the JAK2/STAT3 inhibitor AG490 or the PhosphoInositide-3-Kinase (PI3K)/Akt inhibitor LY-294002. Time course of phosphorylation of STAT3α(tyrosine705) and Reperfusion Injury Salvage Kinase (RISK) proteins [PI3K, Akt, Glycogen Synthase Kinase 3beta (GSK3beta), Extracellular signal-Regulated Kinase 2 (ERK2)] was determined in homogenate and in enriched nuclear and cytoplasmic fractions of the ventricle. STAT3 DNA-binding was determined. The chrono-, dromo- and inotropic disturbances were also investigated by electrocardiogram and mechanical recordings. Phosphorylation of STAT3α(tyr705) was increased by reoxygenation, reduced (~50%) by MPG or AG490 but not affected by LY-294002. STAT3 and GSK3beta were detected both in nuclear and cytoplasmic fractions while PI3K, Akt and ERK2 were restricted to cytoplasm. Reoxygenation led to nuclear accumulation of STAT3 but unexpectedly without DNA-binding. AG490 decreased the reoxygenation-induced phosphorylation of Akt and ERK2 and phosphorylation/inhibition of GSK3beta in the nucleus, exclusively. Inhibition of JAK2/STAT3 delayed recovery of atrial rate, worsened variability of cardiac cycle length and prolonged arrhythmias as compared to control hearts. Thus, besides its nuclear translocation without transcriptional activity, oxyradicals-activated STAT3α can rapidly interact with RISK proteins present in nucleus and cytoplasm, without dual interaction, and reduce the anoxia-reoxygenation-induced arrhythmias in the embryonic heart.

Sulfur isotope variations from orebody to hand-specimen scale at the Mezica lead-zinc deposit, Slovenia: a predominantly biogenic pattern

The Mississippi Valley-type (MVT) Pb-Zn ore district at Mezica is hosted by Middle to Upper Triassic platform carbonate rocks in the Northern Karavanke/Drau Range geotectonic units of the Eastern Alps, northeastern Slovenia. The mineralization at Mezica covers an area of 64 km(2) with more than 350 orebodies and numerous galena and sphalerite occurrences, which formed epigenetically, both conformable and discordant to bedding. While knowledge on the style of mineralization has grown considerably, the origin of discordant mineralization is still debated. Sulfur stable isotope analyses of 149 sulfide samples from the different types of orebodies provide new insights on the genesis of these mineralizations and their relationship. Over the whole mining district, sphalerite and galena have delta(34)S values in the range of -24.7 to -1.5% VCDT (-13.5 +/- 5.0%) and -24.7 to -1.4% (-10.7 +/- 5.9%), respectively. These values are in the range of the main MVT deposits of the Drau Range. All sulfide delta(34)S values are negative within a broad range, with delta(34)S(pyrite) < delta(34)S(sphalerite) < delta(34)S(galena) for both conformable and discordant orebodies, indicating isotopically heterogeneous H(2)S in the ore-forming fluids and precipitation of the sulfides at thermodynamic disequilibrium. This clearly supports that the main sulfide sulfur originates from bacterially mediated reduction (BSR) of Middle to Upper Triassic seawater sulfate or evaporite sulfate. Thermochemical sulfate reduction (TSR) by organic compounds contributed a minor amount of (34)S-enriched H(2)S to the ore fluid. The variations of delta(34)S values of galena and coarse-grained sphalerite at orefield scale are generally larger than the differences observed in single hand specimens. The progressively more negative delta(34)S values with time along the different sphalerite generations are consistent with mixing of different H(2)S sources, with a decreasing contribution of H(2)S from regional TSR, and an increase from a local H(2)S reservoir produced by BSR (i.e., sedimentary biogenic pyrite, organo-sulfur compounds). Galena in discordant ore (-11.9 to -1.7%; -7.0 +/- 2.7%, n=12) tends to be depleted in (34)S compared with conformable ore (-24.7 to -2.8%, -11.7 +/- 6.2%, n=39). A similar trend is observed from fine-crystalline sphalerite I to coarse open-space filling sphalerite II. Some variation of the sulfide delta(34)S values is attributed to the inherent variability of bacterial sulfate reduction, including metabolic recycling in a locally partially closed system and contribution of H(2)S from hydrolysis of biogenic pyrite and thermal cracking of organo-sulfur compounds. The results suggest that the conformable orebodies originated by mixing of hydrothermal saline metal-rich fluid with H(2)S-rich pore waters during late burial diagenesis, while the discordant orebodies formed by mobilization of the earlier conformable mineralization.

Origin of needle fibre calcite (NFC) : a geochemical approach

ABSTRACTNeedle fibre calcite (NFC) is one of the most widespread habits of pedogenic calcite. It is a monocrystal of calcite, in the shape of a needle, with a diameter of one micron and a length between 4 and 103 times its width. NFC occurs in soils with different macroscopic and microscopic morphologies. Macroscopically, two main habits of NFC exist: "cotton ball'Mike clusters and as "powder" coating on pebbles inside the soil. It can also act as nucleation sites for precipitation of calcite cements of purely physicochemical origin (LCC - Late Calcitic Cement). Although many studies have been conducted on needle fibre calcite, its origin remains a subject of debate. The NFC having never been reproduced in the laboratory whatever the considered approach, the processes responsible for its precipitation as a so particular morphology remain unexplained. The shift between the length orientation of the needle crystal and the normal axis of calcite growth (c-axis) is also unresolved.Samples taken in two soils observed in quarries (Villiers and Savagnier) in the Swiss Jura Mountains are used to investigate the processes involved in the formation of these calcite crystals in pedogenic environments. Three groups of microscopic morphologies are distinguished: (i) simple needles (SN), (ii) simple needles with overgrowths (SNO), and (iii) simple needles with nanofibres (SNN), nanofibres being either organic or mineral in nature. These groups correspond to different stages in the formation and evolution of NFC.Comparison of carbon and oxygen isotope compositions of NFC with LCC, in relationship with the composition of the carbonate host rock (CHR), and the carbon isotope signature of dissolved inorganic carbon (DIC) from the soil waters, indicates that both NFC and LCC are precipitated in isotopic equilibrium with the soil solution. Similar Ô13C and Ô180 values of the elongated NFC and the rhombohedral calcite crystals of the LCC suggest that the precipitation of these different calcite habits is not due to changes in physicochemical conditions. The growth of NFC crystals inside an organic mould formed by the fungal hyphae could explain the formation of calcite ciystals in the shape of a needle in isotopic equilibrium with the local environment.Strontium and calcium isotope compositions of the three microscopic groups of NFC and LCC were also studied, in order to determine the origin of calcium (Ca2+) entrapped in the calcite lattice and to elucidate the processes responsible for the precipitation of NFC. The 87Sr/86Sr ratio of the SN is closer to the 87Sr/86Sr ratio of the carbonate host rock than the LCC, SNO, and SNN. This could be another clue for the formation of SN inside fungal hyphae, because fungi are known to dissolve the rocks to release and translocate through their hyphae nutrients necessary for their growth. SN and SNN are depleted in Sr and enriched in ^Ca compared to the LCC. In the context of Villiers quarry, where the two ciystal shapes precipitate at similar temperature (in a range of 0,6°C), such variations are the result of a slower precipitation rate of NFC, which is inconsistent with a purely physicochemically precipitated elongate crystal.Finally, NFC is enriched in major and trace elements (i.e. Fe, Zn, Cu, and Mo) compared to the LCC. This enrichment is ascribed to modification in precipitation processes between the NFC and LCC. Right now, it is not possible to preclude the influence of the particular shape of NFC or the biological influence. REEs are not fractionated in NFC, contrary to LCC. Thus, NFC does not precipitate from a percolation solution circulating downward the soil, which should lead to the fractionation of the REEs. As explained above, fungi, are able to dissolve and translocate nutrients. This kind of processes allows releasing elements in the soil solution without fractionation and could explain the particular chemical signature of NFC regarding the REEs.The geochemical approach to investigate the origin of NFC presented in this study does not allow providing direct clues to the fungal origin of NFC, but brings several new insights in the understanding of the formation of such a particular mineral, calcite needles, by precluding definitively their physicochemical origin.RESUMELa calcite en aiguilles (NFC) est l'une des formes les plus ubiquiste de calcite pédogénique. Il s'agit d'un monocrystal de calcite d'un diamètre d'un micron et d'une longueur 4 à 102 fois supérieure à sa largeur. A l'échelle macroscopique, la NFC a été observée sous deux principaux aspects : l'une « cotonneuse » et l'autre formant un mince croûte autour des graviers du sol. La NFC peut également servir de support à la nucléation de ciments secondaires précipités de manière purement physico-chimique (LCC). Malgré les nombreuses études menées sur la NFC, son origine demeure encore inconnue. A ce jour, aucune expérience en laboratoire n'a permis de créer de la calcite en aiguilles, et ce, quelque soit l'approche abordée. Par conséquent, les processus précis responsables de la précipitation calcite avec une telle morphologie restent inconnus. Le décalage existant entre l'axe d'allongement des aiguilles de calcite et l'axe normal de croissance de la calcite (axe c) reste inexpliqué.Des échantillons de NFC, LCC, roche mère, eau de pluie des différents horizons du sol ont été prélevés principalement au front de deux carrières de graviers, ainsi que dans un profil de sol adjacent à ces carrières, dans le but de mieux comprendre les processus à l'origine de la précipitation de calcite en forme d'aiguille. Trois micro-morphologies ont été distinguées: les aiguilles simples (SN), les aiguilles simples avec surcroissances calcitiques (SNO) et enfin les aiguilles simples avec nanofibres (SNN), celles-ci pouvant être de minérales ou organiques. Ces groupes, d'après nos résultats et les études antérieures pourraient correspondre à différentes étapes de formation de la calcite en aiguilles.Dans un premier temps, la comparaison des signatures isotopiques de la calcite en aiguilles, du LCC, de la roche mère et du carbone inorganique dissout dans la solution du sol (CID) indique que la NFC, tout comme le LCC, précipite en équilibre avec la solution du sol. Les valeurs similaires en Ô13C et δ180 de cristaux de calcite allongés (NFC) et rhombohédriques (LCC) formés dans un même milieu suggère que ces différences morphologiques ne peuvent pas être attribuées à des modifications purement physico-chimiques. La croissance de NFC à l'intérieur d'un moule organique comme les hyphes de champignons semble être la seule hypothèse plausible permettant d'expliquer la formation de monocrystaux allongés de calcite en équilibre avec leur environnement.La composition isotopique en strontium (Sr) et calcium (Ca) des LCC et des trois micro¬morphologies de la NFC ont été étudiées également, afin de déterminer l'origine du Ca2+ présent dans le réseau cristallin de la calcite en aiguilles, ainsi que les processus responsables de la formation de NFC. Les valeurs du rapport 87Sr/86$r de la forme SN sont les plus proches de celles de la roche mère par rapport aux formes SNN et SNO et du LCC. Ceci pourrait être un nouvel indice de l'implication des champignons dans la précipitation de calcite en aiguilles, puisqu'ils sont connus pour avoir la capacité de dissoudre les roches afin de libérer les nutriments nécessaires à leur croissance, ainsi que de les transloquer par leurs hyphes. De plus, les formes SN et SNN sont appauvries en Sr et enrichies en "Ca, comparativement au LCC. Dans le sol étudié, tous les carbonates de calcium précipitent à la même température, par conséquent, de telles variations sont dues à un taux de précipitation plus lent de SN et SNN, ce qui est contradictoire avec l'hypothèse physico-chimique. Pour finir, la NFC est enrichie en certains éléments majeurs et traces (i.e. Fe, Zn, Cu et Mo) par rapport au LCC. Ceci peut être attribué à différents processus de formation entre la NFC et le LCC. Pour le moment il est impossible d'exclure l'influence de la forme particulière de la NFC ou celle du champignon. Les terres rares (REEs) ne sont pas fractionnées dans la NFC, contrairement au LCC. Ceci peut être expliqué par le fait que la NFC précipite à partir d'une solution qui n'a pas percolé à travers le sol. Les champignons en dissolvant les roches mettent en solution éléments sans les fractionner. L'approche géochimique de l'étude de la calcite en aiguilles ne permets pas de produire des preuves directes sur sa potentielle origine fongique, mais permet de mieux comprendre comment un minéral aussi singulier que la NFC peut se former. D'autre pare cette étude permets d'exclure définitivement l'hypothèse physico-chimique de l'origine de la calcite en aiguilles

06034-016 Lake Colchester/Middle Creek Watershed Final Report

In-lake management can be a critical need for water quality improvement for impaired recreation lakes. Biomanipulation practices to achieve the proper balance of predatory fish, zooplankton grazing of algae, and native aquatic vegetation can sometimes restore water clarity of turbid, nutrient enriched lakes. Lakewood leaders have a renovation plan for Lake Colchester, involving several common and three innovative practices. Lakewood is prepared to pay for proven practices, but seeks WIRB grant support to test innovations in collaboration with Iowa DNR biologists, and ISU limnologists, serving as advisors and monitors for the entire project.

Dissection of local and systemic transcriptional responses to phosphate starvation in Arabidopsis.

Phosphate is a crucial and often limiting nutrient for plant growth. To obtain inorganic phosphate (P(i) ), which is very insoluble, and is heterogeneously distributed in the soil, plants have evolved a complex network of morphological and biochemical processes. These processes are controlled by a regulatory system triggered by P(i) concentration, not only present in the medium (external P(i) ), but also inside plant cells (internal P(i) ). A 'split-root' assay was performed to mimic a heterogeneous environment, after which a transcriptomic analysis identified groups of genes either locally or systemically regulated by P(i) starvation at the transcriptional level. These groups revealed coordinated regulations for various functions associated with P(i) starvation (including P(i) uptake, P(i) recovery, lipid metabolism, and metal uptake), and distinct roles for members in gene families. Genetic tools and physiological analyses revealed that genes that are locally regulated appear to be modulated mostly by root development independently of the internal P(i) content. By contrast, internal P(i) was essential to promote the activation of systemic regulation. Reducing the flow of P(i) had no effect on the systemic response, suggesting that a secondary signal, independent of P(i) , could be involved in the response. Furthermore, our results display a direct role for the transcription factor PHR1, as genes systemically controlled by low P(i) have promoters enriched with P1BS motif (PHR1-binding sequences). These data detail various regulatory systems regarding P(i) starvation responses (systemic versus local, and internal versus external P(i) ), and provide tools to analyze and classify the effects of P(i) starvation on plant physiology.

Characterization of the molecular mechanisms of insulin exocytosis and of their adaptation to physiopathological conditions

Résumé large public Le glucose est une source d'énergie essentielle pour notre organisme, indispensable pour le bon fonctionnement des cellules de notre corps. Les cellules β du pancréas sont chargées de réguler l'utilisation du glucose et de maintenir la glycémie (taux de glucose dans le sang) à un niveau constant. Lorsque la glycémie augmente, ces dernières sécrètent l'insuline, une hormone favorisant l'absorption, l'utilisation et le stockage du glucose. Une sécrétion insuffisante d'insuline provoque une élévation anormale du taux de glucose dans le sang (hyperglycémie) et peut mener au développement du diabète sucré. L'insuline est sécrétée dans le sang par un mécanisme particulier appelé exocytose. Une meilleure compréhension de ce mécanisme est nécessaire dans l'espoir de trouver des nouvelles thérapies pour traiter les 170 millions de personnes atteintes de diabète sucré à travers le monde. L'implication de diverses protéines, comme les SNAREs ou Rabs a déjà été démontrée. Cependant leurs mécanismes d'action restent, à ce jour, peu compris. De plus, l'adaptation de la machinerie d'exocytose à des conditions physiopathologiques, comme l'hyperglycémie, est encore à élucider. Le but de mon travail de thèse a été de clarifier le rôle de deux protéines, Noc2 et Tomosyn, dans l'exocytose ; puis de déterminer les effets d'une exposition prolongée à un taux élevé de glucose sur l'ensemble des protéines de la machinerie d'exocytose. Noc2 est un partenaire potentiel de deux Rabs connues pour leur implication dans les dernières étapes de l'exocytose, Rab3 et Rab27. Grâce à l'étude de différents mutants de Noc2, j'ai montré que l'interaction avec Rab27 permet à la protéine de s'associer avec les organelles de la cellule β contenant l'insuline. De plus, en diminuant sélectivement l'expression de Noc2, j'ai déterminé l'importance de cette protéine pour le bon fonctionnement du processus d'exocytose et le relâchement de l'insuline. Quant à Tomosyn, une protéine interagissant avec les protéines SNAREs, j'ai démontré son importance dans la sécrétion d'insuline en diminuant de manière sélective son expression dans les cellules β. Ensuite, grâce à une combinaison d'approches moléculaires et de microscopie, j'ai mis en évidence le rôle de Tomosyn dans les dernières étapes de l'exocytose. Enfin, puisque la sécrétion d'insuline est diminuée lors d'une hyperglycémie prolongée, j'ai analysé l'adaptation de la machinerie d'exocytose à ces conditions. Ceci m'a permis de découvrir que l'expression de quatre protéines essentielles pour le processus d'exocytose, Noc2, Rab3, Rab27 et Granuphilin, est fortement diminuée lors d'une hyperglycémie chronique. L'ensemble de ces données met en évidence l'importance de Noc2 et Tomosyn dans la sécrétion d'insuline. L'inhibition, par un taux élevé de glucose, de l'expression de Noc2 et d'autres protéines indispensables pour l'exocytose suggère que ce phénomène pourrait contribuer au développement du diabète sucré. Résumé L'exocytose d'insuline, en réponse au glucose circulant dans le sang, est la fonction principale de la cellule β. Celle-ci permet de stabiliser le taux de glucose sanguin (glycémie). Le diabète de type 2 est caractérisé par une glycémie élevée due, principalement, à un défaut de sécrétion d'insuline en réponse au glucose. La compréhension des mécanismes qui contrôlent l'exocytose d'insuline est essentielle pour clarifier les causes du diabète sucré. Plusieurs composants impliqués dans ce processus ont été identifiés. Ceux-ci incluent les SNAREs Syntaxin-1, VAMP2 et SNAP25 et les GTPases Rab3 et Rab27 qui jouent un rôle dans les dernières étapes de l'exocytose. Pendant mon travail de thèse, j'ai étudié le rôle de Noc2, un des partenaires de Rab3 et Rab27, dans l'exocytose d'insuline. Nous avons déterminé que Noc2 s'associe aux granules de sécrétion d'insuline grâce à son interaction avec Rab27. La diminution de l'expression de Noc2 dans la lignée cellulaire β INS-1E, par ARN interférence, influence négativement la sécrétion d'insuline stimulée par différents sécrétagogues et prouve que cette protéine Noc2 est essentielle pour l'exocytose d'insuline. L'interaction avec Munc13, une protéine impliquée dans l'arrimage des vésicules, suggère que Noc2 participe au recrutement des granules d'insuline à la membrane plasmique. Ensuite, j'ai analysé l'adaptation de la machinerie d'exocytose à des concentrations supraphysiologiques de glucose. Le niveau d'expression de Rab3 et Rab27 et de leurs effecteurs Granuphilin/S1p4 et Noc2 est fortement diminué par une exposition prolongée des cellules β à haut glucose. L'effet observé est en relation avec l'induction de l'expression de ICER, un facteur de transcription surexprimé dans des conditions d'hyperglycémie et également dans des modèles génétiques de diabète de type 2. La surexpression de ICER dans des cellules INS-1E diminue l'expression de Rab3, Rab27, Granuphilin/Slp4 et Noc2 et par conséquent l'exocytose d'insuline. Ainsi, l'induction de ICER, après une exposition prolongée à haut glucose, régule négativement l'expression de protéines essentielles pour l'exocytose et altère la sécrétion d'insuline. Ce mécanisme pourrait contribuer au dysfonctionnement de l'exocytose d'insuline dans le diabète de type 2. Dans la dernière partie de ma thèse, j'ai investigué le rôle de la protéine Tomosyn-1 dans la formation du complexe SNARE. Cette protéine a une forte affinité pour Syntaxin-1 et contient un domaine SNARE. Tomosyn-1 est concentrée dans les régions cellulaires enrichies en granules de sécrétion. La diminution sélective de l'expression de Tomosyn-1 induit une réduction de l'exocytose stimulée par différents sécrétagogues. Cet effet est dû à un défaut de fusion des granules avec la membrane plasmique. Ceci nous indique que Tomosyn-1 intervient dans une phase importante de la préparation des vésicules à la fusion, qui est nécessaire à l'exocytose. Abstract: Insulin exocytosis from pancreatic β-cells plays a central role in blood glucose homeostasis. Diabetes mellitus is a complex metabolic disorder characterized by secretory dysfunctions in pancreatic β-cells and release of amounts of insulin that are inappropriate to maintain blood glucose concentration within normal physiological ranges. To define the causes of β-cell failure a basic understanding of the molecular mechanisms that control insulin exocytosis is essential. Some of the molecular components involved in this process have been identified, including the SNARE proteins VAMP2, Syntaxin-1 and SNAP25 and the two GTPases, Rab3 and Rab27, that regulate the final steps of insulin secretion. I first investigated the role of Noc2, a potential Rab3 and Rab27 partner, in insulin secretion. I found that Noc2 associates with Rab27 and is recruited by this GTPase on insulin- containing granules. Silencing of the Noc2 gene by RNA interference led to a strong impairment in the capacity of the β-cell line INS-1E to respond to secretagogues, indicating that appropriate levels of the protein are essential for insulin exocytosis. I also showed that Noc2 interacts with Munc13, a protein that controls vesicle priming, suggesting a possible involvement of Noc2 in the recruitment of secretory granules at the plasma membrane. In the second part of my thesis, I investigated the adaptation of the molecular machinery of exocytosis to physiopathological conditions. I found that the expression of Rab3, Rab27 and of their effectors Granuphilin/Slp4 and Noc2 is dramatically decreased by chronic exposure of β-ce1ls to supraphysiological glucose levels. The observed glucotoxic effect is a consequence of the induction of ICER, a transcriptional repressor that is increased by prolonged hyperglycemia and in genetic models of type 2 diabetes. Overexpression of ICER reduced Granuphilin, Noc2, Rab3 and Rab27 levels and inhibited exocytosis. These results suggest that the presence of inappropriate levels of ICER diminishes the expression of a group of proteins essential for exocytosis and contributes to defective insulin release in type 2 diabetes. In the last part of my thesis, I focused my attention on the role of Tomosyn-1, a Syntaxin-1 binding protein possessing a SNARE-like motif, in the control of SNARE complex assembly. I found that Tomosyn-1 is concentrated in cellular compartments enriched in insulin-containing secretory granules. Silencing of Tomosyn-1 did not affect the number of secretory granules docked at the plasma membrane but decreased their release probability, resulting in a reduction in stimulus-induced insulin exocytosis. These findings suggest that Tomosyn-1 is involved in a post-docking event that prepares secretory granules for fusion and is necessary to sustain exocytosis in response to insulin secretagogues.