Quantitative analysis of crystal/grain sizes and their distributions in 2D and 3D

We review methods to estimate the average crystal (grain) size and the crystal (grain) size distribution in solid rocks. Average grain sizes often provide the base for stress estimates or rheological calculations requiring the quantification of grain sizes in a rock's microstructure. The primary data for grain size data are either 1D (i.e. line intercept methods), 2D (area analysis) or 3D (e.g., computed tomography, serial sectioning). These data have been used for different data treatments over the years, whereas several studies assume a certain probability function (e.g., logarithm, square root) to calculate statistical parameters as the mean, median, mode or the skewness of a crystal size distribution. The finally calculated average grain sizes have to be compatible between the different grain size estimation approaches in order to be properly applied, for example, in paleo-piezometers or grain size sensitive flow laws. Such compatibility is tested for different data treatments using one- and two-dimensional measurements. We propose an empirical conversion matrix for different datasets. These conversion factors provide the option to make different datasets compatible with each other, although the primary calculations were obtained in different ways. In order to present an average grain size, we propose to use the area-weighted and volume-weighted mean in the case of unimodal grain size distributions, respectively, for 2D and 3D measurements. The shape of the crystal size distribution is important for studies of nucleation and growth of minerals. The shape of the crystal size distribution of garnet populations is compared between different 2D and 3D measurements, which are serial sectioning and computed tomography. The comparison of different direct measured 3D data; stereological data and direct presented 20 data show the problems of the quality of the smallest grain sizes and the overestimation of small grain sizes in stereological tools, depending on the type of CSD. (C) 2011 Published by Elsevier Ltd.

Control of mitochondrial pH by uncoupling protein 4 in astrocytes promotes neuronal survival.

Brain activity is energetically costly and requires a steady and highly regulated flow of energy equivalents between neural cells. It is believed that a substantial share of cerebral glucose, the major source of energy of the brain, will preferentially be metabolized in astrocytes via aerobic glycolysis. The aim of this study was to evaluate whether uncoupling proteins (UCPs), located in the inner membrane of mitochondria, play a role in setting up the metabolic response pattern of astrocytes. UCPs are believed to mediate the transmembrane transfer of protons, resulting in the uncoupling of oxidative phosphorylation from ATP production. UCPs are therefore potentially important regulators of energy fluxes. The main UCP isoforms expressed in the brain are UCP2, UCP4, and UCP5. We examined in particular the role of UCP4 in neuron-astrocyte metabolic coupling and measured a range of functional metabolic parameters including mitochondrial electrical potential and pH, reactive oxygen species production, NAD/NADH ratio, ATP/ADP ratio, CO2 and lactate production, and oxygen consumption rate. In brief, we found that UCP4 regulates the intramitochondrial pH of astrocytes, which acidifies as a consequence of glutamate uptake, with the main consequence of reducing efficiency of mitochondrial ATP production. The diminished ATP production is effectively compensated by enhancement of glycolysis. This nonoxidative production of energy is not associated with deleterious H2O2 production. We show that astrocytes expressing more UCP4 produced more lactate, which is used as an energy source by neurons, and had the ability to enhance neuronal survival.

Uncertainty Quantification with Support Vector Regression Prediction Models

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. The paper considers a data driven approach in modelling uncertainty in spatial predictions. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic features and describe stochastic variability and non-uniqueness of spatial properties. It is able to capture and preserve key spatial dependencies such as connectivity, which is often difficult to achieve with two-point geostatistical models. Semi-supervised SVR is designed to integrate various kinds of conditioning data and learn dependences from them. A stochastic semi-supervised SVR model is integrated into a Bayesian framework to quantify uncertainty with multiple models fitted to dynamic observations. The developed approach is illustrated with a reservoir case study. The resulting probabilistic production forecasts are described by uncertainty envelopes.

Diffusion-weighted spectroscopy: a novel approach to determine macromolecule resonances in short-echo time 1H-MRS.

Quantification of short-echo time proton magnetic resonance spectroscopy results in >18 metabolite concentrations (neurochemical profile). Their quantification accuracy depends on the assessment of the contribution of macromolecule (MM) resonances, previously experimentally achieved by exploiting the several fold difference in T(1). To minimize effects of heterogeneities in metabolites T(1), the aim of the study was to assess MM signal contributions by combining inversion recovery (IR) and diffusion-weighted proton spectroscopy at high-magnetic field (14.1 T) and short echo time (= 8 msec) in the rat brain. IR combined with diffusion weighting experiments (with δ/Δ = 1.5/200 msec and b-value = 11.8 msec/μm(2)) showed that the metabolite nulled spectrum (inversion time = 740 msec) was affected by residuals attributed to creatine, inositol, taurine, choline, N-acetylaspartate as well as glutamine and glutamate. While the metabolite residuals were significantly attenuated by 50%, the MM signals were almost not affected (< 8%). The combination of metabolite-nulled IR spectra with diffusion weighting allows a specific characterization of MM resonances with minimal metabolite signal contributions and is expected to lead to a more precise quantification of the neurochemical profile.

Three-dimensional ordered-subset expectation maximization iterative protocol for evaluation of left ventricular volumes and function by quantitative gated SPECT: a dynamic phantom study.

The purposes of this study were to characterize the performance of a 3-dimensional (3D) ordered-subset expectation maximization (OSEM) algorithm in the quantification of left ventricular (LV) function with (99m)Tc-labeled agent gated SPECT (G-SPECT), the QGS program, and a beating-heart phantom and to optimize the reconstruction parameters for clinical applications. METHODS: A G-SPECT image of a dynamic heart phantom simulating the beating left ventricle was acquired. The exact volumes of the phantom were known and were as follows: end-diastolic volume (EDV) of 112 mL, end-systolic volume (ESV) of 37 mL, and stroke volume (SV) of 75 mL; these volumes produced an LV ejection fraction (LVEF) of 67%. Tomographic reconstructions were obtained after 10-20 iterations (I) with 4, 8, and 16 subsets (S) at full width at half maximum (FWHM) gaussian postprocessing filter cutoff values of 8-15 mm. The QGS program was used for quantitative measurements. RESULTS: Measured values ranged from 72 to 92 mL for EDV, from 18 to 32 mL for ESV, and from 54 to 63 mL for SV, and the calculated LVEF ranged from 65% to 76%. Overall, the combination of 10 I, 8 S, and a cutoff filter value of 10 mm produced the most accurate results. The plot of the measures with respect to the expectation maximization-equivalent iterations (I x S product) revealed a bell-shaped curve for the LV volumes and a reverse distribution for the LVEF, with the best results in the intermediate range. In particular, FWHM cutoff values exceeding 10 mm affected the estimation of the LV volumes. CONCLUSION: The QGS program is able to correctly calculate the LVEF when used in association with an optimized 3D OSEM algorithm (8 S, 10 I, and FWHM of 10 mm) but underestimates the LV volumes. However, various combinations of technical parameters, including a limited range of I and S (80-160 expectation maximization-equivalent iterations) and low cutoff values (< or =10 mm) for the gaussian postprocessing filter, produced results with similar accuracies and without clinically relevant differences in the LV volumes and the estimated LVEF.

Advantages of using TEM when analysing asbestos in ambient air

Asbestos is an industrial term to describe some fibrous silicate minerals, which belong to the amphiboles or serpentines group. Six minerals are defined as asbestos including: chrysotile (white asbestos), amosite (grunerite, brown asbestos), crocidolite (riebeckite, blue asbestos), anthophyllite, tremolite and actonolite, but only in their fibrous form. In 1973, the IARC (International Agency for Research on Cancer) classified the asbestos minerals as carcinogenic substances (IARC,1973). The Swiss threshold limit (VME) is 0.01 fibre/ml (SUVA, 2007). Asbestos in Switzerland has been prohibited since 1990, but this doesn't mean we are over asbestos. Up to 20'000 tonnes/year of asbestos was imported between the end of WWII and 1990. Today, all this asbestos is still present in buildings renovated or built during that period of time. During restorations, asbestos fibres can be emitted into the air. The quantification of the emission has to be evaluated accurately. To define the exact risk on workers or on the population is quite hard, as many factors must be considered. The methods to detect asbestos in the air or in materials are still being discussed today. Even though the EPA 600 method (EPA, 1993) has proved itself for the analysis of bulk materials, the method for air analysis is more problematic. In Switzerland, the recommended method is VDI 3492 using a scanning electron microscopy (SEM), but we have encountered many identifications problems with this method. For instance, overloaded filters or long-term exposed filters cannot be analysed. This is why the Institute for Work and Health (IST) has adapted the ISO10312 method: ambient air - determination of asbestos fibres - direct-transfer transmission electron microscopy (TEM) method (ISO, 1995). Quality controls have already be done at a French institute (INRS), which validate our practical experiences. The direct-transfer from MEC's filters on TEM's supports (grids) is a delicate part of the preparation for analysis and requires a lot of trials in the laboratory. IST managed to do proper grid preparations after about two years of development. In addition to the preparation of samples, the micro-analysis (EDX), the micro-diffraction and the morphologic analysis (figure 1.a-c) are also to be mastered. Theses are the three elements, which prove the different features of asbestos identification. The SEM isn't able to associate those three analyses. The TEM is also able to make the difference between artificial and natural fibres that have very similar chemical compositions as well as differentiate types of asbestos. Finally the experiments concluded by IST show that TEM is the best method to quantify and identify asbestos in the air.

1H-[13C] NMR spectroscopy of the rat brain during infusion of [2-13C] acetate at 14.1 T.

Full signal intensity (1)H-[(13)C] NMR spectroscopy, combining a preceding (13)C-editing block based on an inversion BISEP (B(1)-insensitive spectral editing pulse) with a spin-echo coherence-based localization, was developed and implemented at 14.1 T. (13)C editing of the proposed scheme was achieved by turning on and off the (13)C adiabatic full passage in the (13)C-editing block to prepare inverted and noninverted (13)C-coupled (1)H coherences along the longitudinal axis prior to localization. The novel (1)H-[(13)C] NMR approach was applied in vivo under infusion of the glia-specific substrate [2-(13)C] acetate. Besides a approximately 50% improvement in sensitivity, spectral dispersion was enhanced at 14.1 T, especially for J-coupled metabolites such as glutamate and glutamine. A more distinct spectral structure at 1.9-2.2 ppm(parts per million) was observed, e.g., glutamate C3 showed a doublet pattern in both simulated (1)H spectrum and in vivo (13)C-edited (1)H NMR spectra. Besides (13)C time courses of glutamate C4 and glutamine C4, the time courses of glutamate C3 and glutamine C3 obtained by (1)H-[(13)C] NMR spectroscopy were reported for the first time. Such capability should greatly improve the ability to study neuron-glial metabolism using (1)H-observed (13)C-edited NMR spectroscopy.

Subconjunctival Injection of XG-102, a JNK Inhibitor Peptide, in Patients with Intraocular Inflammation: A Safety and Tolerability Study.

Abstract Purpose: We aimed to investigate the safety, tolerability, and systemic diffusion of a single escalating dose of XG-102 (a 31-D-amino-acid peptide inhibiting JNK pathway activation), administered subconjunctivally in the treatment of post-surgery or post-trauma intraocular inflammation. Methods: This is a dose-escalating, tolerance Phase Ib study. Twenty patients with post-surgery or post-traumatic intraocular inflammation were assigned to 1 of the 4 dose escalating (45, 90, 450, or 900 μg XG-102) groups of 5 patients each. Patients were evaluated at 24, 48 h, 8, and 28 days following the administration of XG-102, including laboratory tests, standard eye examinations, vital signs, and occurrence of adverse events. A single plasma quantification of XG-102 was performed 30 min after administration, according to previous pharmacokinetics studies performed on volunteers. Results: A total of 17 non-serious adverse events, considered unrelated to the study treatment, were reported for 10 patients. The adverse event incidence was not related to the drug dose. All patients experienced a decrease in intraocular inflammation as of 24 h post-administration and this decrease was sustained up to 28 days thereafter. No patient required local injection or systemic administration of corticoids following the administration of XG-102. XG-102 was undetectable in the first 3 dose groups. In the fourth-dose group (900 μg) the XG-102 plasma levels were above the limit of detection for 3 patients and above the limit of quantification for 1 patient. Conclusions: In this first clinical trial using XG-102, administered as a single subconjunctival injection as adjunct therapy, in patients with recent post-surgery or post-trauma intraocular inflammation is safe and well tolerated. Further studies are required to evaluate its efficacy.

PROTEOMICS OF OXIDATIVE LESIONS OCCURRING DURING TRANSFUSION-PURPOSED STORAGE OF ERYTHROCYTE CONCENTRATES

Erythrocyte concentrates (ECs) are the major labile blood product being transfused worldwide, aiming at curing anemia of diverse origins. In Switzerland, ECs are stored at 4 °C up to 42 days in saline-adenine-glucose-mannitol (SAGM). Such storage induces cellular lesions, altering red blood cells (RBCs) metabolism, protein content and rheological properties. A hot debate exists regarding the impact of the storage lesions, thus the age of ECs on transfusion-related clinical adverse outcomes. Several studies tend to show that poorer outcomes occur in patients receiving older blood products. However, no clear association was demonstrated up to date. While metabolism and early rheological changes are reversible through transfusion of the blood units, oxidized proteins cannot be repaired, and it is likely such irreversible damages would affect the quality of the blood product and the efficiency of the transfusion. In vivo, RBCs are constantly exposed to oxygen fluxes, and are thus well equipped to deal with oxidative challenges. Moreover, functional 20S proteasome complexes allow for recognition and proteolysis of fairly oxidized protein, and some proteins can be eliminated from RBCs by the release of microvesicles. The present PhD thesis is involved in a global research project which goal is to characterize the effect of processing and storage on the quality of ECs. Assessing protein oxidative damages during RBC storage is of major importance to understand the mechanisms of aging of stored RBCs. To this purpose, redox proteomic-based investigations were conducted here. In a first part, cysteine oxidation and protein carbonylation were addressed via 2D-DIGE and derivatization-driven immunodetection approaches, respectively. Then, the oxidized sub- proteomes were characterized through LC-MS/MS identification of proteins in spots of interest (cysteine oxidation) or affinity-purified carbonylated proteins. Gene ontology annotation allowed classifying targets of oxidation according to their molecular functions. In a third part, the P20S activity was evaluated throughout the storage period of ECs, and its susceptibility to highly oxidized environment was investigated. The potential defensive role of microvesiculation was also addressed through the quantification of eliminated carbonylated proteins. We highlighted distinct protein groups differentially affected by cysteine oxidation, either reversibly or irreversibly. In addition, soluble extracts showed a decrease in carbonylation at the beginning of the storage and membrane extracts revealed increasing carbonylation after 4 weeks of storage. Engaged molecular functions revealed that antioxidant (AO) are rather reversibly oxidized at their cysteine residue(s), but are irreversibly oxidized through carbonylation. In the meantime, the 20S proteasome activity is decreased by around 40 % at the end of the storage period. Incubation of fresh RBCs extracts with exogenous oxidized proteins showed a dose-dependent and protein-dependent inhibitory effect. Finally, we proved that the release of microvesicles allows the elimination of increasing quantities of carbonylated proteins. Taken together, these results revealed an oxidative pathway model of RBCs storage, on which further investigation towards improved storage conditions will be based. -- Les concentrés érythrocytaires (CE) sont le produit sanguin le plus délivré au monde, permettant de traiter différentes formes d'anémies. En Suisse, les CE sont stocké à 4 °C pendant 42 jours dans une solution saline d'adénine, glucose et mannitol (SAGM). Une telle conservation induit des lésions de stockage qui altèrent le métabolisme, les protéines et les propriétés rhéologique du globule rouge (GR). Un débat important concerne l'impact du temps de stockage des CE sur les risques de réaction transfusionnelles, certaines études tentant de démontrer que des transfusions de sang vieux réduiraient l'espérance de vie des patients. Cependant, aucune association concrète n'a été prouvée à ce jour. Alors que les modifications du métabolisme et changement précoces des propriétés rhéologiques sont réversibles suite à la transfusion du CE, les protéines oxydées ne peuvent être réparées, et il est probable que de telles lésions affectent la qualité et l'efficacité des produits sanguins. In vivo, les GR sont constamment exposés à l'oxygène, et sont donc bien équipés pour résister aux lésions oxydatives. De plus, les complexes fonctionnels de proteasome 20S reconnaissent et dégradent les protéines modérément oxydées, et certaines protéines peuvent être éliminées par les microparticules. Cette thèse de doctorat est imbriquée dans un projet de recherche global ayant pour objectif la caractérisation des effets de la préparation et du stockage sur la qualité des GR. Evaluer les dommages oxydatifs du GR pendant le stockage est primordial pour comprendre les mécanismes de vieillissement des produits sanguin. Dans ce but, des recherches orientées redoxomique ont été conduites. Dans une première partie, l'oxydation des cystéines et la carbonylation des protéines sont évaluées par électrophorèse bidimensionnelle différentielle et par immunodétection de protéines dérivatisées. Ensuite, les protéines d'intérêt ainsi que les protéines carbonylées, purifiées par affinité, sont identifiées par spectrométrie de masse en tandem. Les protéines cibles de l'oxydation sont classées selon leur fonction moléculaire. Dans une troisième partie, l'activité protéolytique du protéasome 20S est suivie durant la période de stockage. L'impact du stress oxydant sur cette activité a été évalué en utilisant des protéines exogènes oxydées in vitro. Le potentiel rôle défensif de la microvesiculation a également été étudié par la quantification des protéines carbonylées éliminées. Dans ce travail, nous avons observé que différents groupes de protéines sont affectés par l'oxydation réversible ou irréversible de leurs cystéines. De plus, une diminution de la carbonylation en début de stockage dans les extraits solubles et une augmentation de la carbonylation après 4 semaines dans les extraits membranaires ont été montrées. Les fonctions moléculaires engagées par les protéines altérées montrent que les défenses antioxydantes sont oxydées de façon réversible sur leurs résidus cystéines, mais sont également irréversiblement carbonylées. Pendant ce temps, l'activité protéolytique du protéasome 20S décroit de 40 % en fin de stockage. L'incubation d'extraits de GR en début de stockage avec des protéines oxydées exogènes montre un effet inhibiteur « dose-dépendant » et « protéine-dépendant ». Enfin, les microvésicules s'avèrent éliminer des quantités croissantes de protéines carbonylées. La synthèse de ces résultats permet de modéliser une voie oxydative du stockage des GRs, à partir de laquelle de futures recherches seront menées avec pour but l'amélioration des conditions de stockage.

ON THE ROLE OF PERIOD-2 IN THE CIRCADIAN AND HOMEOSTATIC REGULATION OF SLEEP

Humans spend one third of their life sleeping, then we could raise the basic question: Why do we sleep? Despite the fact that we still don't fully understand its function, we made much progress in understanding at different levels how sleep is regulated. One model suggests that sleep is regulated by two processes: a homeostatic process that tracks the need for sleep and by a circadian rhythm that determines the preferred time-of-day sleep occurs. At the molecular level circadian rhythms are a property of interlocking transcriptional regula-tors referred to as clock genes. The heterodimeric transcription factors BMAL1::CLOCK/NPAS2 drive the transcription of many target genes including the clock genes Cryptochome1 (Cry1), Cry2, Period1 (Per1), and Per2. The encoded CRY/PER proteins are transcriptional inhibitors of BMAL1::CLOCK/NPAS2 thereby providing negative feedback to their own transcription. These genes seem, however, also involved in sleep homeostasis because the brain expression of clock genes, es-pecially that of Per2, increase as a function of time-spent-awake and because mice lacking clock genes display altered sleep homeostasis. The aim of first part of my doctoral work has been to advance our understanding the link that exists between sleep homeostasis and circadian rhythms investigating a possible mechanism by which sleep deprivation could alter clock gene expression by quantifying DNA-binding of the core-clock genes BMAL1, CLOCK and NPAS2 to their target chromatin loci including the E-box enhancers of the Per2 promoter. We made use of chromatin immunoprecipitation (ChIP) and quantitative poly-merase chain reaction (qPCR) to show that DNA-binding of CLOCK and BMAL1 to their target genes changes as a function of time-of-day in both liver and cerebral cortex. We then performed a 6h sleep deprivation (SD) and observed a significant decrease in DNA-binding of CLOCK and BMAL1 to Dbp. This is consistent with a decrease in Dbp mRNA levels after SD. The DNA-binding of NPAS2 and BMAL1 to Per2 was similarly decreased following SD. However, SD has been previously shown to in-crease Per2 expression in the cortex which seems paradoxical. Our results demonstrate that sleep-wake history can affect the molecular clock machinery directly at the level of the chromatin thereby altering the cortical expression of Dbp and Per2, and likely other targets. However, the precise dy-namic relationship between DNA-binding and mRNA expression, especially for Per2, remains elusive. The second aim of my doctoral work has been to perform an in depth characterization of cir-cadian rhythmicity, sleep architecture, analyze the response to SD in full null-Per2 knock-out (Per2-/-) mice, and Per1-/- mice, as well as their double knock-out offspring (Per1,2-/-) and littermate wildtype (Wt) mice. The techniques used include locomotor activity recording by passive infrared (PIR) sen-sors, EEG/EMG surgery, recording, and analysis, and cerebral cortex extraction and quantification of mRNA levels by qPCR. Under standard LD12:12 conditions, we found that wakefulness onset, as well as the time courses of clock gene expression in the brain and corticosterone plasma levels were ad-vanced by about 2h in Per2-/- mice compared to Wt mice. When released under constant dark condi-tions almost all Per2-/- mice (97%) became arrhythmic immediately. From these observations, we conclude that while Per2-/- mice seem to be able to anticipate dark onset, this does not result from a self-sustained circadian clock. Our results suggest instead that the earlier onset of activity results from a labile, not-self sustained 22h rhythm linked to light onset suggesting the existence of a light-driven rhythm. Analyses of sleep under LD12:12 conditions revealed that in both Per2-/- and Per1,2-/- mice the same sleep phenotypes are observed compared to Wt mice: increased NREM sleep frag-mentation and inability to adequately compensate the loss of NREM sleep. That suggests a possible role of PER2 in sleep consolidation and recovery.

Aortic vessel wall magnetic resonance imaging at 3.0 Tesla: a reproducibility study of respiratory navigator gated free-breathing 3D black blood magnetic resonance imaging.

The purpose of this study was to evaluate a free-breathing three-dimensional (3D) dual inversion-recovery (DIR) segmented k-space gradient-echo (turbo field echo [TFE]) imaging sequence at 3T for the quantification of aortic vessel wall dimensions. The effect of respiratory motion suppression on image quality was tested. Furthermore, the reproducibility of the aortic vessel wall measurements was investigated. Seven healthy subjects underwent 3D DIR TFE imaging of the aortic vessel wall with and without respiratory navigator. Subsequently, this sequence with respiratory navigator was performed twice in 10 healthy subjects to test its reproducibility. The signal-to-noise (SNR), contrast-to-noise ratio (CNR), vessel wall sharpness, and vessel wall volume (VWV) were assessed. Data were compared using the paired t-test, and the reproducibility of VWV measurements was evaluated using intraclass correlation coefficients (ICCs). SNR, CNR, and vessel wall sharpness were superior in scans performed with respiratory navigator compared to scans performed without. The ICCs concerning intraobserver, interobserver, and interscan reproducibility were excellent (0.99, 0.94, and 0.95, respectively). In conclusion, respiratory motion suppression substantially improves image quality of 3D DIR TFE imaging of the aortic vessel wall at 3T. Furthermore, this optimized technique with respiratory motion suppression enables assessment of aortic vessel wall dimensions with high reproducibility.

Leishmania major: differential regulation of the surface metalloprotease in amastigote and promastigote stages.

During its life cycle, the protozoan parasite Leishmania major alternates from an intracellular amastigote form in the mammalian host to a flagellated promastigote form in the insect vector. The expression of the surface metalloprotease (PSP) during differentiation in vitro was investigated by Western and Northern blots, by immunoprecipitation of cells metabolically labeled with [35S]methionine or labeled at the surface with radioactive iodine, and by quantification of the proteolytic activity in substrate-containing polyacrylamide gels. We report that the surface metalloprotease is down-regulated at both the mRNA and the protein level in amastigotes, where it represents less than 1% of the equivalent proteolytic activity detected in promastigotes. A significant amount of mRNA is detected 4 hr after the onset of differentiation. The expression of the protease begins at that time and reaches steady state 8 hr later. The synthesis of PSP precedes the complete morphological differentiation to the promastigote stage and the appearance of the lipophosphoglycan, another major promastigote surface component. In contrast to PSP, a family of mercaptoethanol-activated proteases present in the amastigote exists only at a reduced level in the promastigote. The confinement of the surface metalloprotease to the insect stage of the parasite suggests that it has no physiological function in the parasitism maintenance of mammalian host macrophages.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

Phosphorylation of neurofilament subunit NF-M is regulated by activation of NMDA receptors and modulates cytoskeleton stability and neuronal shape.

The cytoskeleton is essential for the structural organization of neurons and is influenced during development by excitatory stimuli such as activation of glutamate receptors. In particular, NMDA receptors are known to modulate the function of several cytoskeletal proteins and to influence cell morphology, but the underlying molecular and cellular mechanisms remain unclear. Here, we characterized the neurofilament subunit NF-M in cultures of developing mouse cortical neurons chronically exposed to NMDA receptor antagonists. Western blots analysis showed that treatment of cortical neurons with MK801 or AP5 shifted the size of NF-M towards higher molecular weights. Dephosphorylation assay revealed that this increased size of NF-M observed after chronic exposure to NMDA receptor antagonists was due to phosphorylation. Neurons treated with cyclosporin, an inhibitor of the Ca(2+)-dependent phosphatase calcineurin, also showed increased levels of phosphorylated NF-M. Moreover, analysis of neurofilament stability revealed that the phosphorylation of NF-M, resulting from NMDA receptor inhibition, enhanced the solubility of NF-M. Finally, cortical neurons cultured in the presence of the NMDA receptor antagonists MK801 and AP5 grew longer neurites. Together, these data indicate that a blockade of NMDA receptors during development of cortical neurons increases the phosphorylation state and the solubility of NF-M, thereby favoring neurite outgrowth. This also underlines that dynamics of the neurofilament and microtubule cytoskeleton is fundamental for growth processes.

ANIBAL, stable isotope-based quantitative proteomics by aniline and benzoic acid labeling of amino and carboxylic groups

Identification and relative quantification of hundreds to thousands of proteins within complex biological samples have become realistic with the emergence of stable isotope labeling in combination with high throughput mass spectrometry. However, all current chemical approaches target a single amino acid functionality (most often lysine or cysteine) despite the fact that addressing two or more amino acid side chains would drastically increase quantifiable information as shown by in silico analysis in this study. Although the combination of existing approaches, e.g. ICAT with isotope-coded protein labeling, is analytically feasible, it implies high costs, and the combined application of two different chemistries (kits) may not be straightforward. Therefore, we describe here the development and validation of a new stable isotope-based quantitative proteomics approach, termed aniline benzoic acid labeling (ANIBAL), using a twin chemistry approach targeting two frequent amino acid functionalities, the carboxylic and amino groups. Two simple and inexpensive reagents, aniline and benzoic acid, in their (12)C and (13)C form with convenient mass peak spacing (6 Da) and without chromatographic discrimination or modification in fragmentation behavior, are used to modify carboxylic and amino groups at the protein level, resulting in an identical peptide bond-linked benzoyl modification for both reactions. The ANIBAL chemistry is simple and straightforward and is the first method that uses a (13)C-reagent for a general stable isotope labeling approach of carboxylic groups. In silico as well as in vitro analyses clearly revealed the increase in available quantifiable information using such a twin approach. ANIBAL was validated by means of model peptides and proteins with regard to the quality of the chemistry as well as the ionization behavior of the derivatized peptides. A milk fraction was used for dynamic range assessment of protein quantification, and a bacterial lysate was used for the evaluation of relative protein quantification in a complex sample in two different biological states