High-throughput SELEX SAGE method for quantitative modeling of transcription-factor binding sites.

The ability to determine the location and relative strength of all transcription-factor binding sites in a genome is important both for a comprehensive understanding of gene regulation and for effective promoter engineering in biotechnological applications. Here we present a bioinformatically driven experimental method to accurately define the DNA-binding sequence specificity of transcription factors. A generalized profile was used as a predictive quantitative model for binding sites, and its parameters were estimated from in vitro-selected ligands using standard hidden Markov model training algorithms. Computer simulations showed that several thousand low- to medium-affinity sequences are required to generate a profile of desired accuracy. To produce data on this scale, we applied high-throughput genomics methods to the biochemical problem addressed here. A method combining systematic evolution of ligands by exponential enrichment (SELEX) and serial analysis of gene expression (SAGE) protocols was coupled to an automated quality-controlled sequence extraction procedure based on Phred quality scores. This allowed the sequencing of a database of more than 10,000 potential DNA ligands for the CTF/NFI transcription factor. The resulting binding-site model defines the sequence specificity of this protein with a high degree of accuracy not achieved earlier and thereby makes it possible to identify previously unknown regulatory sequences in genomic DNA. A covariance analysis of the selected sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism.

Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

Endoscopic extraction of a prevertebral migrated guidewire after posterior cervical instrumentation.

Images of Spine Care

Simulations in Evolution. III. Randomness as a Generator of Opportunities.

In Neo-Darwinism, variation and natural selection are the two evolutionary mechanisms which propel biological evolution. Our previous reports presented a histogram model to simulate the evolution of populations of individuals classified into bins according to an unspecified, quantifiable phenotypic character, and whose number in each bin changed generation after generation under the influence of fitness, while the total population was maintained constant. The histogram model also allowed Shannon entropy (SE) to be monitored continuously as the information content of the total population decreased or increased. Here, a simple Perl (Practical Extraction and Reporting Language) application was developed to carry out these computations, with the critical feature of an added random factor in the percent of individuals whose offspring moved to a vicinal bin. The results of the simulations demonstrate that the random factor mimicking variation increased considerably the range of values covered by Shannon entropy, especially when the percentage of changed offspring was high. This increase in information content is interpreted as facilitated adaptability of the population.

Surface granularity as a discriminating feature of illicit tablets

In this paper we propose an innovative methodology for automated profiling of illicit tablets bytheir surface granularity; a feature previously unexamined for this purpose. We make use of the tinyinconsistencies at the tablet surface, referred to as speckles, to generate a quantitative granularity profileof tablets. Euclidian distance is used as a measurement of (dis)similarity between granularity profiles.The frequency of observed distances is then modelled by kernel density estimation in order to generalizethe observations and to calculate likelihood ratios (LRs). The resulting LRs are used to evaluate thepotential of granularity profiles to differentiate between same-batch and different-batches tablets.Furthermore, we use the LRs as a similarity metric to refine database queries. We are able to derivereliable LRs within a scope that represent the true evidential value of the granularity feature. Thesemetrics are used to refine candidate hit-lists form a database containing physical features of illicittablets. We observe improved or identical ranking of candidate tablets in 87.5% of cases when granularityis considered.

Machine learning analysis and modeling of interest rate curves

The present research deals with the review of the analysis and modeling of Swiss franc interest rate curves (IRC) by using unsupervised (SOM, Gaussian Mixtures) and supervised machine (MLP) learning algorithms. IRC are considered as objects embedded into different feature spaces: maturities; maturity-date, parameters of Nelson-Siegel model (NSM). Analysis of NSM parameters and their temporal and clustering structures helps to understand the relevance of model and its potential use for the forecasting. Mapping of IRC in a maturity-date feature space is presented and analyzed for the visualization and forecasting purposes.

Single-step extraction of fluconazole from plasma by ultra-filtration for the measurement of its free concentration by high performance liquid chromatography.

High performance liquid chromatography (HPLC) is the reference method for measuring concentrations of antimicrobials in blood. This technique requires careful sample preparation. Protocols using organic solvents and/or solid extraction phases are time consuming and entail several manipulations, which can lead to partial loss of the determined compound and increased analytical variability. Moreover, to obtain sufficient material for analysis, at least 1 ml of plasma is required. This constraint makes it difficult to determine drug levels when blood sample volumes are limited. However, drugs with low plasma-protein binding can be reliably extracted from plasma by ultra-filtration with a minimal loss due to the protein-bound fraction. This study validated a single-step ultra-filtration method for extracting fluconazole (FLC), a first-line antifungal agent with a weak plasma-protein binding, from plasma to determine its concentration by HPLC. Spiked FLC standards and unknowns were prepared in human and rat plasma. Samples (240 microl) were transferred into disposable microtube filtration units containing cellulose or polysulfone filters with a 5 kDa cut-off. After centrifugation for 60 min at 15000g, FLC concentrations were measured by direct injection of the filtrate into the HPLC. Using cellulose filters, low molecular weight proteins were eluted early in the chromatogram and well separated from FLC that eluted at 8.40 min as a sharp single peak. In contrast, with polysulfone filters several additional peaks interfering with the FLC peak were observed. Moreover, the FLC recovery using cellulose filters compared to polysulfone filters was higher and had a better reproducibility. Cellulose filters were therefore used for the subsequent validation procedure. The quantification limit was 0.195 mgl(-1). Standard curves with a quadratic regression coefficient > or = 0.9999 were obtained in the concentration range of 0.195-100 mgl(-1). The inter and intra-run accuracies and precisions over the clinically relevant concentration range, 1.875-60 mgl(-1), fell well within the +/-15% variation recommended by the current guidelines for the validation of analytical methods. Furthermore, no analytical interference was observed with commonly used antibiotics, antifungals, antivirals and immunosuppressive agents. Ultra-filtration of plasma with cellulose filters permits the extraction of FLC from small volumes (240 microl). The determination of FLC concentrations by HPLC after this single-step procedure is selective, precise and accurate.

Elemental and isotopic zoning in natural alpine quartz

THESIS ABSTRACT : Stable isotope geochemistry is used to help resolve a large number of geological questions. In order to do this, it is essential to understand the different mechanisms that govern isotopic fractionation processes between different phases and to identify the conditions required to reach equilibrium fractionation. However, at low temperatures, these processes are poorly constrained and many factors can induce differential partitioning of the isotopes between sectors of a mineral species and the fluid during mineral growth. This can result in so-called 'sector zoning' of a mineral species. The aim of this thesis is to evaluate the occurrence of sector zoning of the oxygen isotopes and trace elements in natural α-quartz crystals and to identify the reasons for such zoning. The implications for the fluid-mineral interactions are studied in the context of the Alpine metamorphism. The approach chosen has focused on examining the crystal structure, cathodoluminescence appearance (CL), and on relating elemental (e.g. Li, Na, Al, P, K, Ca, Ge, Ti, Fe) to stable oxygen isotope compositions between and along different growth sectors. Low temperature quartz samples were selected from Alpine veins in different localities, where growth conditions have already been well constrained. The mineralogy as well as the isotopic compositions of the host rocks were also investigated, in order to interpret the variations obtained between the different growth stages in the framework of fluid-rock interaction during Alpine metamorphism. Depending on the growth conditions, most of the studied quartz is strongly zoned in CL, and it reveals corresponding zonations in the trace element content (e.g. growth zoning). Aluminium, substituting for Si in the lattice, was found in concentrations up to 1000's ppma, and its distribution is strongly related to Li and H and to a lesser extent, to Ge. Elemental sector zoning is evident from the distribution of these three elements since they exhibit differences in their respective concentrations between faces for distinct growth zones, with prismatic faces having the lowest Al contents. Quartz from veins in magmatic rocks, for example, tend to have lower Al concentrations and similar concentrations of Li and Ti suggesting also a contribution of these elements from the host rock. The relationship between Al and Li is still correlated. Only Alpine crystals grown at higher temperatures (~400°C) without any CL zoning feature are free of these impurities and do not show such zoning characteristics. Differences in the δ18O values were measured between different faces principally in the AIenriched growth zones or stages. These results were confirmed by the means of two different methods (in situ/non in situ). However, it was determined that the Al concentrations do not affect significantly oxygen isotope fractionations at 300°C. The results altogether suggest that the presence of sector zoning in quartz crystals is real, but not universal, and henceforth should be taken into consideration for any use of these systems. The occurrence of disequilibrium partitioning has been enhanced and is possibly related to kinetic processes as well as structural effects that do not affect similarly trace element incorporation and isotopic fractionation. In situ measurements also revealed fine scale δ18O zonations along growth paths that are useful to constrain fluid-rock interactions during Alpine metamorphism. Variations in the δ18O values present along growth vectors indicate changes in the fluid composition and origin. Association with oxygen isotope composition of the host rock allows for the deduction of interactions between rocks, veins and consequently fluids, as well as fluid regimes. RESUME DE LA THESE : A basses températures, (i.e. <400°C) les différents mécanismes qui régissent le fractionnement isotopique ainsi que les conditions nécessaires pour établir un état d'équilibre sont peu connus et nombre de paramètres peuvent entraîner un partitionnement chimique différentiel entre différents secteurs d'un minéral et le fluide en contact. Ainsi, ce travail de thèse a pour but d'évaluer la possible présence de zonages sectoriels en isotopes de l'oxygène mais aussi en éléments traces dans des cristaux naturels de quartz-α de basses températures, ainsi que les raisons d'un tel phénomène et enfin ses implications sur les interactions fluide-roche, principalement dans le cadre du métamorphisme Alpin. La structure et l'apparence en cathodoluminescence (CL) des échantillons ont été caractérisées avant de retracer en détail les compositions en élément traces (Li, Na, Al, P, K, Ca, Ge, Ti, Fe) et en isotopes de l'oxygène, le long et entre différents secteurs. Les échantillons de quartz sélectionnés proviennent majoritairement de veines Alpine de différentes localités, où les conditions de croissance ont été déjà bien caractérisées. Les compositions minéralogiques et isotopiques de la roche encaissante ont aussi été examinées, pour contraindre les variations obtenues dans un contexte Alpin. Selon leurs conditions de croissance, la plupart des cristaux étudiés sont fortement zonés, ce qui est souligné par un zonage des concentrations en éléments traces (e.g. zonage de croissance). L'Aluminium, qui peut se substituer à la Silice dans le réseau cristallin, a été retrouvé jusqu'en très grandes concentrations dans certaines zones (plusieurs milliers de ppma). De plus, la distribution en Al est fortement liée à celles de Li et H, ainsi que dans une moindre mesure à Ge. La présence de zonage sectoriel est évidente au niveau de ces éléments qui montrent de larges différences de concentrations entre différentes faces pour une même zone de croissance, avec les concentrations les plus basses retrouvées dans les faces prismatiques. Les quartz de veines situées dans des roches magmatiques par exemple possèdent des concentrations en Li et Ti de même ordre de grandeur, confirmant le rôle de la composition de la roche encaissante. La relation Li/Al est toujours fortement présente, mais ce rapport est fonction de la face mesurée. Seuls les cristaux Alpins de plus hautes températures (400°C) ne possédant pas de zones en CL ne présentent aucune de ces caractéristiques. Des différences dans les valeurs de δ18O de zones identiques enrichies en Al ont clairement été mesurées entre les différentes faces r, z, et m, mais aussi au sein d'une même seule zone, indiquant que le fractionnement a probablement eu lieu en déséquilibre. Il a été déterminé que la présence d'Al dans ces teneurs n'avait qu'un faible effet sur le fractionnement isotopique de l'oxygène. L'utilisation de deux méthodes différentes a permis d'obtenir des résultats in situ et non in situ concordants. La comparaison des résultats obtenus permet de démontrer que le zonage sectoriel est bien présent dans certains cristaux de quartz, et dépend des conditions de formation. La présence d'un partitionnement différentiel des éléments traces peut être due à des effets cinétiques aussi bien que structuraux, alors que le zonage sectoriel des isotopes de l'oxygène aurait d'autres origines. Il est alors évident que la possibilité de zonage sectoriel doit être désormais pris en considération avant toute interprétations de données isotopiques de cristaux zonés. Les mesures in situ ont de plus permis de distinguer de fines variations des valeurs δ18O au cours de la croissance, qui peuvent aider à retracer la circulations des fluides dans les Alpes durant cette période. En association avec les compositions des roches encaissantes, ii est possible de déduire les interactions entre roches, veines, et par conséquent fluides, au cours de différentes étapes. RESUME GRAND PUBLIC : La géochimie des isotopes stables a pris beaucoup d'importance depuis ces dernières années pour aider à résoudre nombre de questions géologiques, en se basant sur les caractéristiques du fractionnement isotopiques pour différents systèmes. Il est donc nécessaire d'avoir une connaissance approfondie des mécanismes qui s'appliquent au fractionnement isotopique entre les minéraux et les fluides à partir desquels ils se forment. Ces mécanismes ont été bien approchés par différents types de calibrations pour des systèmes à hautes températures, cependant cela n'est pas aussi évident pour les systèmes à des températures inférieures à 400-500°C. Ce travail de thèse a pour but d'aider à la description et la compréhension des phénomènes qui peuvent affecter le fractionnement isotopique à basses températures, ainsi que leurs implications, à partir de l'étude de cristaux de quartz. Le choix des échantillons s'est porté sur des cristaux naturels formés à des températures inférieures ou égales à 400°C, provenant majoritairement de fissures hydrothermales Alpines dont les conditions de formation ont déjà été déterminées. L'étude des cristaux Alpin permet de plus de replacer les résultats obtenus dans le contexte du métamorphisme Alpin au cours du Miocène (21-13 Ma). Après examen de la structure et de la morphologie des cristaux, et leur caractérisation par cathodoluminescence (CL), des analyses chimiques détaillées sur les éléments en traces pouvant entrer dans le réseau cristallin du quartz comme impuretés (i.e. Li, Na, Al, P, K, Ca, Ge, Ti), et des isotopes stables de l'oxygène, ont été menées. En fonction des conditions de croissance, la plupart des cristaux présentent des zonations, qui peuvent être facilement reliées à la distribution des éléments traces analysés par microsonde électronique, sonde ionique (SIMS) et LA-ICPMS. De fortes concentrations d'Aluminium (plusieurs milliers de parties par million atomique) ont pu être observées dans les zones les plus externes des cristaux. De plus, les concentrations en Al et en Li sont toujours corrélées; la présence d'Hydrogène déduite à partir d'analyses par FTIR suit cette même tendance. Les différentes faces des cristaux présentent des concentrations distinctes d'Al, Li et H pour des mêmes zones de croissance, avec par exemple les concentrations les plus faibles dans les zones des faces prismatiques. Cela implique la présence d'un zonage sectoriel, qui a déjà été observé principalement dans des carbonates mais jamais décrit auparavant pour des quartz. Seuls les cristaux alpins homogènes en CL dont la croissance s'est faite à plus haute température (400°C) ne présentent aucune de ces caractéristiques. Par analogie avec le zonage sectoriel en Al, élément qui se substitue au Si dans le réseau cristallin du quartz, il est possible de penser qu'un zonage sectoriel pourrait aussi s'appliquer aux isotopes de l'oxygène. Des précédentes études avaient en effet émis cette hypothèse. Nos résultats ont été obtenus à partir d'analyses à la fois in- situ par SIMS, et par extraction assistée par laser-CO2 sur des parties de quartz soigneusement séparées, et sont en accord entre les deux méthodes. Un zonage sectoriel est en effet bien présent pour les cristaux alpins, mais principalement au niveau des zones très riches en Aluminium. Cependant, il a été déterminé que la présence d'Al dans ces teneurs avait un effet plus que minimal sur le fractionnement isotopique de l'oxygène. Des différences importantes ont été observées entre les faces r & z mais aussi au sein d'une même et seule zone, indiquant que le fractionnement a pu avoir lieu en déséquilibre, ce qui est aussi visible au niveau des valeurs totalement opposées entre faces pour la dernière phase de croissance de certains cristaux. Ainsi l'association de ces résultats laisse suggérer que la présence d'un zonage sectoriel peut être liée à différents paramètres tels que le taux de croissance ou la structure de surface du cristal, mais qui n'affectent pas de la même façon l'incorporation des éléments traces et le fractionnement isotopique. La possibilité d'un zonage sectoriel est importante à prendre en compte lors de toute interprétation de données isotopiques. Les analyses des isotopes de l'oxygène effectuées par SIMS ont aussi permis de distinguer des variations importantes à petite échelle au cours de la croissance. Des mesures faites par laser CO2 sur certaines roches encaissantes, ont permis distinguer plusieurs étapes dans la croissance des minéraux et de déduire le rôle de l'encaissant et le type de fluide. En association avec de précédentes études, il a été ainsi possible de mieux contraindre la formation de ces cristaux dans le contexte alpin et la circulation de fluide au cours du métamorphisme alpin durant le Miocène.

Phosphorus saturation of Finnish soils : evaluating an easy oxalate extraction method

Selostus: Alumiini- ja rautaoksidien fosforikyllästysasteen arvioiminen suomalaisista peltomaista

DNA extraction using the QIAsymphony: Evaluation of PCR inhibitor removal

The goal of this study was to compare the quantity and purity of DNA extracted from biological tracesusing the QIAsymphony robot with that of the manual QIAamp DNA mini kit currently in use in ourlaboratory. We found that the DNA yield of robot was 1.6-3.5 times lower than that of the manualprotocol. This resulted in a loss of 8% and 29% of the alleles correctly scored when analyzing 1/400 and 1/800 diluted saliva samples, respectively. Specific tests showed that the QIAsymphony was at least 2-16times more efficient at removing PCR inhibitors. The higher purity of the DNA may therefore partlycompensate for the lower DNA yield obtained. No case of cross-contamination was observed amongsamples. After purification with the robot, DNA extracts can be automatically transferred in 96-wellsplates, which is an ideal format for subsequent RT-qPCR quantification and DNA amplification. Lesshands-on time and reduced risk of operational errors represent additional advantages of the robotic platform.

Nonlinear analysis of human physical activity patterns in health and disease.

The reliable and objective assessment of chronic disease state has been and still is a very significant challenge in clinical medicine. An essential feature of human behavior related to the health status, the functional capacity, and the quality of life is the physical activity during daily life. A common way to assess physical activity is to measure the quantity of body movement. Since human activity is controlled by various factors both extrinsic and intrinsic to the body, quantitative parameters only provide a partial assessment and do not allow for a clear distinction between normal and abnormal activity. In this paper, we propose a methodology for the analysis of human activity pattern based on the definition of different physical activity time series with the appropriate analysis methods. The temporal pattern of postures, movements, and transitions between postures was quantified using fractal analysis and symbolic dynamics statistics. The derived nonlinear metrics were able to discriminate patterns of daily activity generated from healthy and chronic pain states.

Stochastic models and numerical algorithms for a class of regulatory gene networks.

Regulatory gene networks contain generic modules, like those involving feedback loops, which are essential for the regulation of many biological functions (Guido et al. in Nature 439:856-860, 2006). We consider a class of self-regulated genes which are the building blocks of many regulatory gene networks, and study the steady-state distribution of the associated Gillespie algorithm by providing efficient numerical algorithms. We also study a regulatory gene network of interest in gene therapy, using mean-field models with time delays. Convergence of the related time-nonhomogeneous Markov chain is established for a class of linear catalytic networks with feedback loops.