985 resultados para Matrices polymères


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Models of codon evolution have attracted particular interest because of their unique capabilities to detect selection forces and their high fit when applied to sequence evolution. We described here a novel approach for modeling codon evolution, which is based on Kronecker product of matrices. The 61 × 61 codon substitution rate matrix is created using Kronecker product of three 4 × 4 nucleotide substitution matrices, the equilibrium frequency of codons, and the selection rate parameter. The entities of the nucleotide substitution matrices and selection rate are considered as parameters of the model, which are optimized by maximum likelihood. Our fully mechanistic model allows the instantaneous substitution matrix between codons to be fully estimated with only 19 parameters instead of 3,721, by using the biological interdependence existing between positions within codons. We illustrate the properties of our models using computer simulations and assessed its relevance by comparing the AICc measures of our model and other models of codon evolution on simulations and a large range of empirical data sets. We show that our model fits most biological data better compared with the current codon models. Furthermore, the parameters in our model can be interpreted in a similar way as the exchangeability rates found in empirical codon models.

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This paper focuses on the analysis of the economic impact that sectorial total factor productivity – or valued added - gains have on two regional Spanish economies (Catalonia and Extremadura). In particular it is studied the quantitative effect that each sector’s valued added injections has on household welfare (real disposable income), on the consumption price indices and factor relative prices, on real production (GDP) and on the government and foreign net income. To do that, we introduce the concept of supply multiplier. The analytical approach consists of a computable general equilibrium model, in which it is assumed perfect competition and cleared markets of goods and factors. All the parameters and exogenous variables of the model are calibrated by means of two social accounting matrices, one for each region under study. The results allow identifying those sectors with the greatest multipliers impact on consumer welfare as the key sectors in the regional economies. Keywords: efficiency gains, supply multipliers, key sectors, computable general equilibrium. JEL Classification: C68, R13.

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GeneID is a program to predict genes in anonymous genomic sequences designed with a hierarchical structure. In the first step, splice sites, and start and stop codons are predicted and scored along the sequence using position weight matrices (PWMs). In the second step, exons are built from the sites. Exons are scored as the sum of the scores of the defining sites, plus the log-likelihood ratio of a Markov model for coding DNA. In the last step, from the set of predicted exons, the gene structure is assembled, maximizing the sum of the scores of the assembled exons. In this paper we describe the obtention of PWMs for sites, and the Markov model of coding DNA in Drosophila melanogaster. We also compare other models of coding DNA with the Markov model. Finally, we present and discuss the results obtained when GeneID is used to predict genes in the Adh region. These results show that the accuracy of GeneID predictions compares currently with that of other existing tools but that GeneID is likely to be more efficient in terms of speed and memory usage.

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Because of the various matrices available for forensic investigations, the development of versatile analytical approaches allowing the simultaneous determination of drugs is challenging. The aim of this work was to assess a liquid chromatography-tandem mass spectrometry (LC-MS/MS) platform allowing the rapid quantification of colchicine in body fluids and tissues collected in the context of a fatal overdose. For this purpose, filter paper was used as a sampling support and was associated with an automated 96-well plate extraction performed by the LC autosampler itself. The developed method features a 7-min total run time including automated filter paper extraction (2 min) and chromatographic separation (5 min). The sample preparation was reduced to a minimum regardless of the matrix analyzed. This platform was fully validated for dried blood spots (DBS) in the toxic concentration range of colchicine. The DBS calibration curve was applied successfully to quantification in all other matrices (body fluids and tissues) except for bile, where an excessive matrix effect was found. The distribution of colchicine for a fatal overdose case was reported as follows: peripheral blood, 29 ng/ml; urine, 94 ng/ml; vitreous humour and cerebrospinal fluid, < 5 ng/ml; pericardial fluid, 14 ng/ml; brain, < 5 pg/mg; heart, 121 pg/mg; kidney, 245 pg/mg; and liver, 143 pg/mg. Although filter paper is usually employed for DBS, we report here the extension of this alternative sampling support to the analysis of other body fluids and tissues. The developed platform represents a rapid and versatile approach for drug determination in multiple forensic media.

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This review paper reports the consensus of a technical workshop hosted by the European network, NanoImpactNet (NIN). The workshop aimed to review the collective experience of working at the bench with manufactured nanomaterials (MNMs), and to recommend modifications to existing experimental methods and OECD protocols. Current procedures for cleaning glassware are appropriate for most MNMs, although interference with electrodes may occur. Maintaining exposure is more difficult with MNMs compared to conventional chemicals. A metal salt control is recommended for experiments with metallic MNMs that may release free metal ions. Dispersing agents should be avoided, but if they must be used, then natural or synthetic dispersing agents are possible, and dispersion controls essential. Time constraints and technology gaps indicate that full characterisation of test media during ecotoxicity tests is currently not practical. Details of electron microscopy, dark-field microscopy, a range of spectroscopic methods (EDX, XRD, XANES, EXAFS), light scattering techniques (DLS, SLS) and chromatography are discussed. The development of user-friendly software to predict particle behaviour in test media according to DLVO theory is in progress, and simple optical methods are available to estimate the settling behaviour of suspensions during experiments. However, for soil matrices such simple approaches may not be applicable. Alternatively, a Critical Body Residue approach may be taken in which body concentrations in organisms are related to effects, and toxicity thresholds derived. For microbial assays, the cell wall is a formidable barrier to MNMs and end points that rely on the test substance penetrating the cell may be insensitive. Instead assays based on the cell envelope should be developed for MNMs. In algal growth tests, the abiotic factors that promote particle aggregation in the media (e.g. ionic strength) are also important in providing nutrients, and manipulation of the media to control the dispersion may also inhibit growth. Controls to quantify shading effects, and precise details of lighting regimes, shaking or mixing should be reported in algal tests. Photosynthesis may be more sensitive than traditional growth end points for algae and plants. Tests with invertebrates should consider non-chemical toxicity from particle adherence to the organisms. The use of semi-static exposure methods with fish can reduce the logistical issues of waste water disposal and facilitate aspects of animal husbandry relevant to MMNs. There are concerns that the existing bioaccumulation tests are conceptually flawed for MNMs and that new test(s) are required. In vitro testing strategies, as exemplified by genotoxicity assays, can be modified for MNMs, but the risk of false negatives in some assays is highlighted. In conclusion, most protocols will require some modifications and recommendations are made to aid the researcher at the bench. [Authors]

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Background: Awareness of the negative effects of smoking on children's health prompted a decrease in the self-reporting of parental tobacco use in periodic surveys from most industrialized countries. Our aim is to assess changes between ETS exposure at the end of pregnancy and at 4 years of age determined by the parents' self-report and measurement of cotinine in age related biological matrices.Methods: The prospective birth cohort included 487 infants from Barcelona city (Spain). Mothers were asked about maternal and household smoking habit. Cord serum and children's urinary cotinine were analyzed in duplicate using a double antibody radioimmunoassay. Results: At 4 years of age, the median urinary cotinine level in children increased 1.4 or 3.5 times when father or mother smoked, respectively. Cotinine levels in children's urine statistically differentiated children from smoking mothers (Geometric Mean (GM) 19.7 ng/ml; 95% CI 16.83–23.01) and exposed homes (GM 7.1 ng/ml; 95% CI 5.61–8.99) compared with non-exposed homes (GM 4.5 ng/ml; 95% CI 3.71–5.48). Maternal self-reported ETS exposure in homes declined in the four year span between the two time periods from 42.2% to 31.0% (p < 0.01). Nevertheless, most of the children considered non-exposed by their mothers had detectable levels of cotinine above 1 ng/mL in their urine.Conclusion: We concluded that cotinine levels determined in cord blood and urine, respectively, were useful for categorizing the children exposed to smoking and showed that a certain increase in ETS exposure during the 4-year follow-up period occurred.

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This paper applies random matrix theory to obtain analytical characterizations of the capacity of correlated multiantenna channels. The analysis is not restricted to the popular separable correlation model, but rather it embraces a more general representation that subsumesmost of the channel models that have been treated in the literature. For arbitrary signal-to-noise ratios (SNR), the characterization is conducted in the regime of large numbers of antennas. For the low- and high-SNR regions, in turn, we uncover compact capacity expansions that are valid for arbitrary numbers of antennas and that shed insight on how antenna correlation impacts the tradeoffs between power, bandwidth and rate.

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We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by considering subnetworks of the global brain network. These subnetworks represent either the inter-connectivity between two brain anatomical regions or by the intra-connectivity within the same brain anatomical region. An appropriate summary statistic, that characterizes a meaningful feature of the subnetwork, is evaluated. Based on this summary statistic, a statistical test is performed to derive the corresponding p-value. The reformulation of the problem in this way reduces the number of statistical tests in an orderly fashion based on our understanding of the problem. Considering the global testing problem, the p-values are corrected to control the rate of false discoveries. Finally, the procedure is followed by a local investigation within the significant subnetworks. We contrast this strategy with the one based on the individual measures in terms of power. We show that this strategy has a great potential, in particular in cases where the subnetworks are well defined and the summary statistics are properly chosen. As an application example, we compare structural brain connection matrices of two groups of subjects with a 22q11.2 deletion syndrome, distinguished by their IQ scores.

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Granzyme (gzm) A and B, proteases of NK cells and T killer cells, mediate cell death, but also cleave extracellular matrices, inactivate intracellular pathogens, and induce cytokines. Moreover, macrophages, Th2 cells, regulatory T cells, mast cells, and B cells can express gzms. We recently reported gzm induction in human filarial infection. In this study, we show that in rodent filarial infection with Litomosoides sigmodontis, worm loads were significantly reduced in gzmA×B and gzmB knockout mice during the whole course of infection, but enhanced only early in gzmA knockout compared with wild-type mice. GzmA/B deficiency was associated with a defense-promoting Th2 cytokine and Ab shift, enhanced early inflammatory gene expression, and a trend of reduced alternatively activated macrophage induction, whereas gzmA deficiency was linked with reduced inflammation and a trend toward increased alternatively activated macrophages. This suggests a novel and divergent role for gzms in helminth infection, with gzmA contributing to resistance and gzmB promoting susceptibility.

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Biplots are graphical displays of data matrices based on the decomposition of a matrix as the product of two matrices. Elements of these two matrices are used as coordinates for the rows and columns of the data matrix, with an interpretation of the joint presentation that relies on the properties of the scalar product. Because the decomposition is not unique, there are several alternative ways to scale the row and column points of the biplot, which can cause confusion amongst users, especially when software packages are not united in their approach to this issue. We propose a new scaling of the solution, called the standard biplot, which applies equally well to a wide variety of analyses such as correspondence analysis, principal component analysis, log-ratio analysis and the graphical results of a discriminant analysis/MANOVA, in fact to any method based on the singular-value decomposition. The standard biplot also handles data matrices with widely different levels of inherent variance. Two concepts taken from correspondence analysis are important to this idea: the weighting of row and column points, and the contributions made by the points to the solution. In the standard biplot one set of points, usually the rows of the data matrix, optimally represent the positions of the cases or sample units, which are weighted and usually standardized in some way unless the matrix contains values that are comparable in their raw form. The other set of points, usually the columns, is represented in accordance with their contributions to the low-dimensional solution. As for any biplot, the projections of the row points onto vectors defined by the column points approximate the centred and (optionally) standardized data. The method is illustrated with several examples to demonstrate how the standard biplot copes in different situations to give a joint map which needs only one common scale on the principal axes, thus avoiding the problem of enlarging or contracting the scale of one set of points to make the biplot readable. The proposal also solves the problem in correspondence analysis of low-frequency categories that are located on the periphery of the map, giving the false impression that they are important.

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Doxorubicin is an antineoplasic agent active against sarcoma pulmonary metastasis, but its clinical use is hampered by its myelotoxicity and its cumulative cardiotoxicity, when administered systemically. This limitation may be circumvented using the isolated lung perfusion (ILP) approach, wherein a therapeutic agent is infused locoregionally after vascular isolation of the lung. The influence of the mode of infusion (anterograde (AG): through the pulmonary artery (PA); retrograde (RG): through the pulmonary vein (PV)) on doxorubicin pharmacokinetics and lung distribution was unknown. Therefore, a simple, rapid and sensitive high-performance liquid chromatography method has been developed to quantify doxorubicin in four different biological matrices (infusion effluent, serum, tissues with low or high levels of doxorubicin). The related compound daunorubicin was used as internal standard (I.S.). Following a single-step protein precipitation of 500 microl samples with 250 microl acetone and 50 microl zinc sulfate 70% aqueous solution, the obtained supernatant was evaporated to dryness at 60 degrees C for exactly 45 min under a stream of nitrogen and the solid residue was solubilized in 200 microl of purified water. A 100 microl-volume was subjected to HPLC analysis onto a Nucleosil 100-5 microm C18 AB column equipped with a guard column (Nucleosil 100-5 microm C(6)H(5) (phenyl) end-capped) using a gradient elution of acetonitrile and 1-heptanesulfonic acid 0.2% pH 4: 15/85 at 0 min-->50/50 at 20 min-->100/0 at 22 min-->15/85 at 24 min-->15/85 at 26 min, delivered at 1 ml/min. The analytes were detected by fluorescence detection with excitation and emission wavelength set at 480 and 550 nm, respectively. The calibration curves were linear over the range of 2-1000 ng/ml for effluent and plasma matrices, and 0.1 microg/g-750 microg/g for tissues matrices. The method is precise with inter-day and intra-day relative standard deviation within 0.5 and 6.7% and accurate with inter-day and intra-day deviations between -5.4 and +7.7%. The in vitro stability in all matrices and in processed samples has been studied at -80 degrees C for 1 month, and at 4 degrees C for 48 h, respectively. During initial studies, heparin used as anticoagulant was found to profoundly influence the measurements of doxorubicin in effluents collected from animals under ILP. Moreover, the strong matrix effect observed with tissues samples indicate that it is mandatory to prepare doxorubicin calibration standard samples in biological matrices which would reflect at best the composition of samples to be analyzed. This method was successfully applied in animal studies for the analysis of effluent, serum and tissue samples collected from pigs and rats undergoing ILP.

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Functional specialization is tightly linked to the ability of eukaryotic cells to acquire a particular shape. Cell morphogenesis, in turn, relies on the capacity to establish and maintain cell "polarity", which is achieved by orienting the trafficking of signaling molecules and organelles towards specific cellular locations and/or membrane domains. The "oriented" transport is based upon cytoskeletal polymers, microtubules and actin filaments, which serve as tracks for molecular motors. These latter generate motion that is translated either into pulling forces or directed transport. Fission yeast, a rod-like unicellular eukaryote, shapes itself by restricting growth at cell tips through the concerted activity of microtubules and actin cables. Microtubules, which assemble into 2-6 bundles and run parallel to the long axis of the cell, serve to orient growth to the tips. Growth is supported by the actin cytoskeleton, which provides tracks, the cables, for motor-based transport of secretory vesicles. The molecular motors, which bind cargos and deliver them to the tips along cables, are also known as type V myosins (hereafter indicated as myosin V). How the bundles of parallel actin filaments, i.e. the cables, extend from the tips through the cell and whether they serve any other purpose, besides providing tracks, is poorly understood. It is also unclear how the crosstalk between the two cytoskeletal systems is achieved. These are the basic questions I addressed during my PhD. The first part of the thesis work (Chapter two) suggests that the sole function of actin cables in polarized growth is to serve as tracks for motors. The data indicate that cells may have evolved two cytoskeletal systems to provide robustness to the polarization process but in principle a unique cytoskeleton might have been able to direct and support polarized growth. How actin cables are organized within the cell to optimize cargo transport is addressed later on (Chapter three). The major finding, based on the actin cable defect of cells lacking myosin Vs, is that actin filaments self-organize through the activity of the transport motors. In fact, by delivering cargos to cell tips and exerting physical pulling forces on actin filaments, Myosin Vs contribute not only to polarize cargo transport but also actin tracks. Among the cargos transported by Myosin V, which may be relevant to its function in organizing cables, there is likely the endoplasmic reticulum (ER). Actin cables, which run parallel to cortical ER, may serve as tracks for Myosin V. Myosin V-driven displacement, in turn, may account for the dynamic expansion and organization of ER during polarized growth as suggested in Chapter four. The last part of the work (Chapter five) highlights the existence of a crosstalk between actin and microtubules. In absence of myosin V, indeed, microtubules contribute to actin cable organization, likely playing a scaffolding/tethering function. Whether or not the kinesin 1, Klp3, plays any role in such process has to be demonstrated. In conclusion the work proposes a novel role for myosin Vs in actin organization, besides its transport function, and provides molecular tools to further dissect the role of this type of myosin in fission yeast. - La spécialisation fonctionnelle est étroitement connectée à la capacité des cellules eucaryotes d'acquérir une forme particulière. La morphogenèse cellulaire à son tour, est basée sur la capacité d'établir et de maintenir la polarité cellulaire, polarité réalisée en orientant le trafic des molécules signales et des organelles vers des zones cellulaires spécifiques. Ce transport directionnel dépend des polymères du cytosquelette, microtubules et microfilaments, qui servent comme des voies pour les moteurs moléculaires. Ces derniers engendrent du mouvement, traduit soit en force de traction soit en transport directionnel. La levure fissipare, un eucaryote unicellulaire en forme de bâtonnet, acquière sa forme en limitant sa croissance aux extrémités par l'action concertée des microtubules et de l'actine. Les microtubules, qui s'assemblent de façon antiparallèle et parcourent la cellule parallèlement à l'axe longitudinal, servent à orienter la croissance aux extrémités. Cette croissance est permise par le cytosquelette d'actine, fournissant des voies, les câbles, pour le transport actif des vésicules de sécrétion. Les moteurs moléculaires, responsables de ce transport actif sont aussi appelés myosines de type V (par la suite appelés myosines V). La manière dont ces câbles s'étendent depuis l'extrémité jusqu'à l'intérieur de la cellule est peu connue. De plus, on ignore également si ces câbles présentent une fonction autre que le transport. L'interaction entre les deux cytosquelettes est également obscure. Ce sont ces questions de base auxquelles j'ai tenté de répondre lors de ma thèse. La première partie de cette thèse (chapitre II) suggère que les câbles d'actine, pendant la croissance polarisée, fonctionnent uniquement comme des voies pour les moteurs moléculaires. Les données indiqueraient que les cellules ont fait évoluer deux systèmes de cytosquelette pour assurer plus de robustesse au processus de polarisation, bien que, comme nous le verrons, un système unique est suffisant. Au chapitre III, nous verrons comment les câbles d'actine sont organisés à l'intérieur de la cellule afin d'optimiser le transport des cargo. La découverte majeure, réalisée en observant des cellules dont la myosine V fait défaut, est que ces filaments d'actine s'auto organisent grâce au passage des moteurs moléculaires le long de ces voies. En réalité, en délivrant les cargos aux extrémités de la cellule et en exerçant des forces de traction sur les câbles, les myosines V contribuent non seulement à polariser le transport mais également à polariser les voies elles mêmes. Nous verrons également au chapitre IV, que parmi les cargos importants pour l'organisation des câbles, il y aurait le réticulum endoplasmique (RE). En effet, les câbles d'actine, qui s'étalent parallèlement au RE cortical, pourraient servir comme voie pour la myosine V. Cette dernière en retour pourrait être responsable de l'expansion dynamique et de l'organisation du RE pendant la croissance polarisée.

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Certaines bactéries produisent des polymères biodégradables susceptibles de remplacer avantageusement le plastique. Les premiers essais de production par les cellules végétales sont concluants.

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Hierarchical clustering is a popular method for finding structure in multivariate data,resulting in a binary tree constructed on the particular objects of the study, usually samplingunits. The user faces the decision where to cut the binary tree in order to determine the numberof clusters to interpret and there are various ad hoc rules for arriving at a decision. A simplepermutation test is presented that diagnoses whether non-random levels of clustering are presentin the set of objects and, if so, indicates the specific level at which the tree can be cut. The test isvalidated against random matrices to verify the type I error probability and a power study isperformed on data sets with known clusteredness to study the type II error.

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El reconocimiento de componentes bióticos resulta clave para comprender la evolución en espacio-tiempo. La panbiogeografía representa un enfoque biogeográfico que puede aplicarse para identificar estos componentes bióticos. Se proprorciona una revisión del enfoque panbiogeográfico, incluyendo definiciones de conceptos básicos (trazos individuales y generalizados, nodos, líneas de base y centros de masa) y métodos (manual, matrices de conectividad e incidencia, compatibilidad de trazos y análisis de parsimonia de endemismos). Como un ejemplo de este enfoque, se identifican 70 componentes bióticos de América Latina y el Caribe, se caracterizan brevemente, y se ordenan en un sistema biogeográfico de tres regiones, siete subregiones y dos zonas de transición. Se discute la relevancia del reconocimiento de componentes bióticos y zonas de transición.