905 resultados para Replicated Microarray Experiments


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The publication of a draft of the human genome and of large collections of transcribed sequences has made it possible to study the complex relationship between the transcriptome and the genome. In the work presented here, we have focused on mapping mRNA 3' ends onto the genome by use of the raw data generated by the expressed sequence tag (EST) sequencing projects. We find that at least half of the human genes encode multiple transcripts whose polyadenylation is driven by multiple signals. The corresponding transcript 3' ends are spread over distances in the kilobase range. This finding has profound implications for our understanding of gene expression regulation and of the diversity of human transcripts, for the design of cDNA microarray probes, and for the interpretation of gene expression profiling experiments.

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Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

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This paper presents the distributed environment for virtual and/or real experiments for underwater robots (DEVRE). This environment is composed of a set of processes running on a local area network composed of three sites: 1) the onboard AUV computer; 2) a surface computer used as human-machine interface (HMI); and 3) a computer used for simulating the vehicle dynamics and representing the virtual world. The HMI can be transparently linked to the real sensors and actuators dealing with a real mission. It can also be linked with virtual sensors and virtual actuators, dealing with a virtual mission. The aim of DEVRE is to assist engineers during the software development and testing in the lab prior to real experiments

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We derive analytical expressions for the propagation speed of downward combustion fronts of thin solid fuels with a background flow initially at rest. The classical combustion model for thin solid fuels that consists of five coupled reaction-convection-diffusion equations is here reduced into a single equation with the gas temperature as the single variable. For doing so we apply a two-zone combustion model that divides the system into a preheating region and a pyrolyzing region. The speed of the combustion front is obtained after matching the temperature and its derivative at the location that separates both regions.We also derive a simplified version of this analytical expression expected to be valid for a wide range of cases. Flame front velocities predicted by our analyticalexpressions agree well with experimental data found in the literature for a large variety of cases and substantially improve the results obtained from a previous well-known analytical expression

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Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions. Geneset analysis methods have been described previously to analyze the expression values of several genes related by known biological criteria (metabolic pathway, pathology signature, co-regulation by a common factor, etc.) at the same time and the cost of these methods allows for the use of more values to help discover the underlying biological mechanisms. Results: As several methods assume different null hypotheses, we propose to reformulate the main question that biologists seek to answer. To determine which genesets are associated with expression values that differ between two experiments, we focused on three ad hoc criteria: expression levels, the direction of individual gene expression changes (up or down regulation), and correlations between genes. We introduce the FAERI methodology, tailored from a two-way ANOVA to examine these criteria. The significance of the results was evaluated according to the self-contained null hypothesis, using label sampling or by inferring the null distribution from normally distributed random data. Evaluations performed on simulated data revealed that FAERI outperforms currently available methods for each type of set tested. We then applied the FAERI method to analyze three real-world datasets on hypoxia response. FAERI was able to detect more genesets than other methodologies, and the genesets selected were coherent with current knowledge of cellular response to hypoxia. Moreover, the genesets selected by FAERI were confirmed when the analysis was repeated on two additional related datasets. Conclusions: The expression values of genesets are associated with several biological effects. The underlying mathematical structure of the genesets allows for analysis of data from several genes at the same time. Focusing on expression levels, the direction of the expression changes, and correlations, we showed that two-step data reduction allowed us to significantly improve the performance of geneset analysis using a modified two-way ANOVA procedure, and to detect genesets that current methods fail to detect.

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We previously reported that nuclear grade assignment of prostate carcinomas is subject to a cognitive bias induced by the tumor architecture. Here, we asked whether this bias is mediated by the non-conscious selection of nuclei that "match the expectation" induced by the inadvertent glance at the tumor architecture. 20 pathologists were asked to grade nuclei in high power fields of 20 prostate carcinomas displayed on a computer screen. Unknown to the pathologists, each carcinoma was shown twice, once before a background of a low grade, tubule-rich carcinoma and once before the background of a high grade, solid carcinoma. Eye tracking allowed to identify which nuclei the pathologists fixated during the 8 second projection period. For all 20 pathologists, nuclear grade assignment was significantly biased by tumor architecture. Pathologists tended to fixate on bigger, darker, and more irregular nuclei when those were projected before kigh grade, solid carcinomas than before low grade, tubule-rich carcinomas (and vice versa). However, the morphometric differences of the selected nuclei accounted for only 11% of the architecture-induced bias, suggesting that it can only to a small part be explained by the unconscious fixation on nuclei that "match the expectation". In conclusion, selection of « matching nuclei » represents an unconscious effort to vindicate the gravitation of nuclear grades towards the tumor architecture.

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Abstract This thesis proposes a set of adaptive broadcast solutions and an adaptive data replication solution to support the deployment of P2P applications. P2P applications are an emerging type of distributed applications that are running on top of P2P networks. Typical P2P applications are video streaming, file sharing, etc. While interesting because they are fully distributed, P2P applications suffer from several deployment problems, due to the nature of the environment on which they perform. Indeed, defining an application on top of a P2P network often means defining an application where peers contribute resources in exchange for their ability to use the P2P application. For example, in P2P file sharing application, while the user is downloading some file, the P2P application is in parallel serving that file to other users. Such peers could have limited hardware resources, e.g., CPU, bandwidth and memory or the end-user could decide to limit the resources it dedicates to the P2P application a priori. In addition, a P2P network is typically emerged into an unreliable environment, where communication links and processes are subject to message losses and crashes, respectively. To support P2P applications, this thesis proposes a set of services that address some underlying constraints related to the nature of P2P networks. The proposed services include a set of adaptive broadcast solutions and an adaptive data replication solution that can be used as the basis of several P2P applications. Our data replication solution permits to increase availability and to reduce the communication overhead. The broadcast solutions aim, at providing a communication substrate encapsulating one of the key communication paradigms used by P2P applications: broadcast. Our broadcast solutions typically aim at offering reliability and scalability to some upper layer, be it an end-to-end P2P application or another system-level layer, such as a data replication layer. Our contributions are organized in a protocol stack made of three layers. In each layer, we propose a set of adaptive protocols that address specific constraints imposed by the environment. Each protocol is evaluated through a set of simulations. The adaptiveness aspect of our solutions relies on the fact that they take into account the constraints of the underlying system in a proactive manner. To model these constraints, we define an environment approximation algorithm allowing us to obtain an approximated view about the system or part of it. This approximated view includes the topology and the components reliability expressed in probabilistic terms. To adapt to the underlying system constraints, the proposed broadcast solutions route messages through tree overlays permitting to maximize the broadcast reliability. Here, the broadcast reliability is expressed as a function of the selected paths reliability and of the use of available resources. These resources are modeled in terms of quotas of messages translating the receiving and sending capacities at each node. To allow a deployment in a large-scale system, we take into account the available memory at processes by limiting the view they have to maintain about the system. Using this partial view, we propose three scalable broadcast algorithms, which are based on a propagation overlay that tends to the global tree overlay and adapts to some constraints of the underlying system. At a higher level, this thesis also proposes a data replication solution that is adaptive both in terms of replica placement and in terms of request routing. At the routing level, this solution takes the unreliability of the environment into account, in order to maximize reliable delivery of requests. At the replica placement level, the dynamically changing origin and frequency of read/write requests are analyzed, in order to define a set of replica that minimizes communication cost.

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Wounding initiates a strong and largely jasmonate-dependent remodelling of the transcriptome in the leaf blades of Arabidopsis (Arabidopsis thaliana). How much control do jasmonates exert on wound-induced protein repatterning in leaves? Replicated shotgun proteomic analyses of 2.5-mm-wide leaf strips adjacent to wounds revealed 106 differentially regulated proteins. Many of these gene products have not emerged as being wound regulated in transcriptomic studies. From experiments using the jasmonic acid (JA)-deficient allene oxide synthase mutant we estimated that approximately 95% of wound-stimulated changes in protein levels were deregulated in the absence of JA. The levels of two tonoplast proteins already implicated in defense response regulation, TWO-PORE CHANNEL1 and the calcium-V-ATPase ACA4 increased on wounding, but their transcripts were not wound inducible. The data suggest new roles for jasmonate in controlling the levels of calcium-regulated pumps and transporters, proteins involved in targeted proteolysis, a putative bacterial virulence factor target, a light-dependent catalyst, and a key redox-controlled enzyme in glutathione synthesis. Extending the latter observation we found that wounding increased the proportion of oxidized glutathione in leaves, but only in plants able to synthesize JA. The oxidizing conditions generated through JA signaling near wounds help to define the cellular environment in which proteome remodelling occurs.

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CcrM is a DNA methyltransferase that methylates the adenine in GANTC motifs in the chromo-some of the bacterial model Caulobacter crescentus. The loss of the CcrM homolog is lethal in C. crescentus and in several other species of Alphaproteobacteria. In this research, we used different experimental and bioinformatic approaches to determine why CcrM is so critical to the physiology of C. crescentus. We first showed that CcrM is a resident orphan DNA methyltransferase in non-Rickettsiales Alphaproteobacteria and that its gene is strictly conserved in this clade (with only one ex¬ception among the genomes sequenced so far). In C. crescentus, cells depleted in CcrM in rich medium quickly lose viability and present an elongated phenotype characteristic of an im¬pairment in cell division. Using minimal medium instead of rich medium as selective and main¬tenance substrate, we could generate a AccrM mutant that presents a viability comparable to the wild type strain and only mild morphological defects. On the basis of a transcriptomic ap¬proach, we determined that several genes essential for cell division were downregulated in the AccrM strain in minimal medium. We offered decisive arguments to support that the efficient transcription of two of these genes, ftsZ and mipZ, coding respectively for the Z-ring forming GTPase FtsZ and an inhibitor of FtsZ polymerization needed for the correct positioning of the Z- ring at mid-cell, requires the methylation of an adenine in a conserved GANTC motif located in their core promoter region. We propose a model, according to which the genome of C. crescentus encodes a transcriptional activator that requires a methylated adenine in a GANTC context to bind to DNA and suggest that this transcriptional regulator might be the global cell-cycle regulator GcrA. In addition, combining a classic genetic approach and in vitro evolution experiments, we showed that the mortality and cell division defects of the AccrM strain in rich medium are mainly due to limiting intracellular levels of the FtsZ protein. We also studied the dynamics of GANTC methylation in C. crescentus using the SMRT technol¬ogy developed by Pacific Biosciences. Our findings support the commonly accepted model, accord¬ing to which the methylation state of GANTC motifs varies during the cell cycle of C. crescentus: before the initiation of DNA replication, the GANTC motifs are fully-methylated (methylated on both strands); when the DNA gets replicated, the GANTC motifs become hemi-methylated (methyl¬ated on one strand only) and this occurs at different times during replication for different loci along the chromosome depending on their position relative to the origin of replication; the GANTC mo¬tifs are only remethylated after DNA replication has finished as a consequence of the massive and short-lived expression of CcrM in predivisional cells. About 30 GANTC motifs in the C. crescentus chromosome were found to be undermethylated in most of the bacterial population; these might be protected from CcrM activity by DNA binding proteins and some of them could be involved in methylation-based bistable transcriptional switches. - CcrM est une ADN méthyltransférase qui méthyle les adénines dans le contexte GANTC dans le génome de la bactérie modèle Caulobacter crescentus. La perte de l'homologue de CcrM chez C. crescentus et chez plusieurs autres espèces d'Alphaproteobactéries est létale. Dans le courant de cette recherche, nous tentons de déterminer pourquoi la protéine CcrM est cruciale pour la survie de C. crescentus. Nous démontrons d'abord que CcrM est une adénine méthyltransférase orpheline résidente, dont le gène fait partie du génome minimal partagé par les Alphaprotéobactéries non-Rickettsiales (à une exception près). Lorsqu'une souche de C. crescentus est privée de CcrM, sa viabilité décroît rapi¬dement et ses cellules présentent une morphologie allongée qui suggère que la division cellulaire est inhibée. Nous sommes parvenus à créer une souche AccrM en utilisant un milieu minimum, au lieu du milieu riche classiquement employé, comme milieu de sélection et de maintenance pour la souche. Lorsque nous avons étudié le transcriptome de cette souche de C. crescentus privée de CcrM, nous avons pu constater que plusieurs gènes essentiels pour le bon déroulement de la division cellulaire bactérienne étaient réprimés. En particulier, l'expression adéquate des gènes ftsZ et mipZ - qui codent, respectivement, pour FtsZ, la protéine qui constitue, au milieu de la cellule, un anneau protéique qui initie le processus de division et pour MipZ, un inhibiteur de la polymérisation de FtsZ qui est indispensable pour le bon positionnement de l'anneau FtsZ - est dépendante de la présence d'une adénine méthylée dans un motif GANTC conservé situé dans leur région promotrice. Nous présentons un modèle selon lequel le génome de C. crescentus code pour un facteur de transcription qui exige la présence d'une adénine méthylée dans un contexte GANTC pour s'attacher à l'ADN et nous suggérons qu'il pourrait s'agir du régulateur global du cycle cellulaire GcrA. En outre, nous montrons, en combinant la génétique classique et une approche basée sur l'évolution expérimentale, que la mortalité et l'inhibition de la division cellulaire caractéristiques de la souche àccrMeη milieu riche sont dues à des niveaux excessivement bas de protéine FtsZ. Nous avons aussi étudié la dynamique de la méthylation du chromosome de C. crescentus sur la base de la technologie SMRT développée par Pacific Biosciences. Nous confirmons le modèle communément accepté, qui affirme que l'état de méthylation des motifs GANTC change durant le cycle cellulaire de C. crescentus: les motifs GANTC sont complètement méthylés (méthylés sur les deux brins) avant de début de la réplication de l'ADN; ils deviennent hémi-méthylés (méthylés sur un brin seulement) une fois répliqués, ce qui arrive à différents moments durant la réplication pour différents sites le long du chromosome en fonction de leur position par rapport à l'origine de répli-cation; finalement, les motifs GANTC sont reméthylés après la fin de la réplication du chromosome lorsque la protéine CcrM est massivement, mais très transitoirement, produite. Par ailleurs, nous identifions dans le chromosome de C. crescentus environ 30 motifs GANTC qui restent en perma-nence non-méthylés dans une grande partie de la population bactérienne; ces motifs sont probable-ment protégés de l'action de CcrM par des protéines qui s'attachent à l'ADN et certains d'entre eux pourraient être impliqués dans des mécanismes de régulation générant une transcription bistable.

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BACKGROUND: The trithorax group (trxG) and Polycomb group (PcG) proteins are responsible for the maintenance of stable transcriptional patterns of many developmental regulators. They bind to specific regions of DNA and direct the post-translational modifications of histones, playing a role in the dynamics of chromatin structure. RESULTS: We have performed genome-wide expression studies of trx and ash2 mutants in Drosophila melanogaster. Using computational analysis of our microarray data, we have identified 25 clusters of genes potentially regulated by TRX. Most of these clusters consist of genes that encode structural proteins involved in cuticle formation. This organization appears to be a distinctive feature of the regulatory networks of TRX and other chromatin regulators, since we have observed the same arrangement in clusters after experiments performed with ASH2, as well as in experiments performed by others with NURF, dMyc, and ASH1. We have also found many of these clusters to be significantly conserved in D. simulans, D. yakuba, D. pseudoobscura and partially in Anopheles gambiae. CONCLUSION: The analysis of genes governed by chromatin regulators has led to the identification of clusters of functionally related genes conserved in other insect species, suggesting this chromosomal organization is biologically important. Moreover, our results indicate that TRX and other chromatin regulators may act globally on chromatin domains that contain transcriptionally co-regulated genes.

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1. We investigated experimentally predation by the flatworm Dugesia lugubris on the snail Physa acuta in relation to predator body length and to prey morphology [shell length (SL) and aperture width (AW)]. 2. SL and AW correlate strongly in the field, but display significant and independent variance among populations. In the laboratory, predation by Dugesia resulted in large and significant selection differentials on both SL and AW. Analysis of partial effects suggests that selection on AW was indirect, and mediated through its strong correlation with SL. 3. The probability P(ij) for a snail of size category i (SL) to be preyed upon by a flatworm of size category j was fitted with a Poisson-probability distribution, the mean of which increased linearly with predator size (i). Despite the low number of parameters, the fit was excellent (r2 = 0.96). We offer brief biological interpretations of this relationship with reference to optimal foraging theory. 4. The largest size class of Dugesia (>2 cm) did not prey on snails larger than 7 mm shell length. This size threshold might offer Physa a refuge against flatworm predation and thereby allow coexistence in the field. 5. Our results are further discussed with respect to previous field and laboratory observations on P acuta life-history patterns, in particular its phenotypic variance in adult body size.

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Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+).

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One of the most important issues in portland cement concrete pavement research today is surface characteristics. The issue is one of balancing surface texture construction with the need for durability, skid resistance, and noise reduction. The National Concrete Pavement Technology Center at Iowa State University, in conjunction with the Federal Highway Administration, American Concrete Pavement Association, International Grinding and Grooving Association, Iowa Highway Research Board, and other states, have entered into a three-part National Surface Characteristics Program to resolve the balancing problem. As a portion of Part 2, this report documents the construction of 18 separate pavement surfaces for use in the first level of testing for the national project. It identifies the testing to be done and the limitations observed in the construction process. The results of the actual tests will be included in the subsequent national study reports.

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In insects, the steroid hormone 20-hydroxyecdysone (20E) coordinates major developmental transitions. While the first and the final steps of 20E biosynthesis are characterized, the pathway from 7-dehydrocholesterol to 5β-ketodiol, commonly referred as the "black box", remains hypothetical and whether there are still unidentified enzymes is unknown. The black box would include some oxidative steps, which are believed to be mediated by P450 enzymes. To identify new enzyme(s) involved in steroid synthesis, we analyzed by small-scale microarray the expression of all the genes encoding P450 enzymes of the malaria mosquito Anopheles gambiae in active steroidogenic organs of adults, ovaries from blood-fed females and male reproductive tracts, compared to inactive steroidogenic organs, ovaries from non-blood-fed females. Some genes encoding P450 enzymes were specifically overexpressed in female ovaries after a blood-meal or in male reproductive tracts but only three genes were found to be overexpressed in active steroidogenic organs of both females and males: cyp307a1, cyp4g16 and cyp6n1. Among these genes, only cyp307a1 has an expression pattern similar to other mosquito steroidogenic genes. Moreover, loss-of-function by transient RNAi targeting cyp307a1 disrupted ecdysteroid production demonstrating that this gene is required for ecdysteroid biosynthesis in Anopheles gambiae.