Impact of normalization on miRNA microarray expression profiling.

Profiling miRNA levels in cells with miRNA microarrays is becoming a widely used technique. Although normalization methods for mRNA gene expression arrays are well established, miRNA array normalization has so far not been investigated in detail. In this study we investigate the impact of normalization on data generated with the Agilent miRNA array platform. We have developed a method to select nonchanging miRNAs (invariants) and use them to compute linear regression normalization coefficients or variance stabilizing normalization (VSN) parameters. We compared the invariants normalization to normalization by scaling, quantile, and VSN with default parameters as well as to no normalization using samples with strong differential expression of miRNAs (heart-brain comparison) and samples where only a few miRNAs are affected (by p53 overexpression in squamous carcinoma cells versus control). All normalization methods performed better than no normalization. Normalization procedures based on the set of invariants and quantile were the most robust over all experimental conditions tested. Our method of invariant selection and normalization is not limited to Agilent miRNA arrays and can be applied to other data sets including those from one color miRNA microarray platforms, focused gene expression arrays, and gene expression analysis using quantitative PCR.

Identification of estrogen-responsive DNA sequences by transient expression experiments in a human breast cancer cell line.

The expression of a hybrid gene formed by the promoter region of the Xenopus laevis vitellogenin gene B1 and the CAT coding region is regulated by estrogen when the gene is transfected into hormone-responsive MCF-7 cells. Furthermore, the 5' flanking region of the gene B1 alone can confer inducibility to heterologous promoters, although to a varying extent depending on the promoter used. Deletion mapping of he vitellogenin hormone-responsive sequences revealed that a 13 bp element 5'-AGTCACTGTGACC-3' at position -334 is essential for estrogen inducibility. We have shown previously that this 13 bp element is present upstream of several liver-specific estrogen-inducible genes.

Effects of mitotane on gene expression in the adrenocortical cell line NCI-H295R: a microarray study.

Aim: The adrenolytic agent mitotane is widely used in the treatment of adrenocortical cancer; however, its mechanism of action is poorly elucidated. We have studied mitotane-induced mRNA expression changes in the NCI-H295R adrenocortical cancer cell line. Materials & methods: Cell viability and hormone assays were used to select the optimal mitotane concentration effectively inhibiting hormone secretion without affecting cell viability. RNA isolated from cultures treated for 48 and 72 h was subjected to Agilent 4×44K microarray platforms. Microarray results were validated by quantitative reverse-transcription PCR. Results: Altogether, 117 significantly differentially expressed genes were detected at 48 h and 72 h (p < 0.05) in mitotane-treated samples relative to controls. Three significantly underexpressed genes involved in steroid hormone biosynthesis (HSD3B1, HSD3B2 and CYP21A2) and four significantly overexpressed genes (GDF15, ALDH1L2, TRIB3 and SERPINE2) have been validated. Conclusion: Gene-expression changes might be involved in the adrenal action of mitotane and in the inhibition of hormone secretion. Original submitted 20 January 2012; Revision submitted 17 May 2012.

Update of the FANTOM web resource: from mammalian transcriptional landscape to its dynamic regulation.

The international Functional Annotation Of the Mammalian Genomes 4 (FANTOM4) research collaboration set out to better understand the transcriptional network that regulates macrophage differentiation and to uncover novel components of the transcriptome employing a series of high-throughput experiments. The primary and unique technique is cap analysis of gene expression (CAGE), sequencing mRNA 5'-ends with a second-generation sequencer to quantify promoter activities even in the absence of gene annotation. Additional genome-wide experiments complement the setup including short RNA sequencing, microarray gene expression profiling on large-scale perturbation experiments and ChIP-chip for epigenetic marks and transcription factors. All the experiments are performed in a differentiation time course of the THP-1 human leukemic cell line. Furthermore, we performed a large-scale mammalian two-hybrid (M2H) assay between transcription factors and monitored their expression profile across human and mouse tissues with qRT-PCR to address combinatorial effects of regulation by transcription factors. These interdependent data have been analyzed individually and in combination with each other and are published in related but distinct papers. We provide all data together with systematic annotation in an integrated view as resource for the scientific community (http://fantom.gsc.riken.jp/4/). Additionally, we assembled a rich set of derived analysis results including published predicted and validated regulatory interactions. Here we introduce the resource and its update after the initial release.

Seasonal fluctuations of bacterial community diversity in agricultural soil and experimental validation by laboratory disturbance experiments.

Natural fluctuations in soil microbial communities are poorly documented because of the inherent difficulty to perform a simultaneous analysis of the relative abundances of multiple populations over a long time period. Yet, it is important to understand the magnitudes of community composition variability as a function of natural influences (e.g., temperature, plant growth, or rainfall) because this forms the reference or baseline against which external disturbances (e.g., anthropogenic emissions) can be judged. Second, definition of baseline fluctuations in complex microbial communities may help to understand at which point the systems become unbalanced and cannot return to their original composition. In this paper, we examined the seasonal fluctuations in the bacterial community of an agricultural soil used for regular plant crop production by using terminal restriction fragment length polymorphism profiling (T-RFLP) of the amplified 16S ribosomal ribonucleic acid (rRNA) gene diversity. Cluster and statistical analysis of T-RFLP data showed that soil bacterial communities fluctuated very little during the seasons (similarity indices between 0.835 and 0.997) with insignificant variations in 16S rRNA gene richness and diversity indices. Despite overall insignificant fluctuations, between 8 and 30% of all terminal restriction fragments changed their relative intensity in a significant manner among consecutive time samples. To determine the magnitude of community variations induced by external factors, soil samples were subjected to either inoculation with a pure bacterial culture, addition of the herbicide mecoprop, or addition of nutrients. All treatments resulted in statistically measurable changes of T-RFLP profiles of the communities. Addition of nutrients or bacteria plus mecoprop resulted in bacteria composition, which did not return to the original profile within 14 days. We propose that at less than 70% similarity in T-RFLP, the bacterial communities risk to drift apart to inherently different states.

Genome-Wide Analysis of Salicylate and Dibenzofuran Metabolism in Sphingomonas Wittichii RW1.

Sphingomonas wittichii RW1 is a bacterium isolated for its ability to degrade the xenobiotic compounds dibenzodioxin and dibenzofuran (DBF). A number of genes involved in DBF degradation have been previously characterized, such as the dxn cluster, dbfB, and the electron transfer components fdx1, fdx3, and redA2. Here we use a combination of whole genome transcriptome analysis and transposon library screening to characterize RW1 catabolic and other genes implicated in the reaction to or degradation of DBF. To detect differentially expressed genes upon exposure to DBF, we applied three different growth exposure experiments, using either short DBF exposures to actively growing cells or growing them with DBF as sole carbon and energy source. Genome-wide gene expression was examined using a custom-made microarray. In addition, proportional abundance determination of transposon insertions in RW1 libraries grown on salicylate or DBF by ultra-high throughput sequencing was used to infer genes whose interruption caused a fitness loss for growth on DBF. Expression patterns showed that batch and chemostat growth conditions, and short or long exposure of cells to DBF produced very different responses. Numerous other uncharacterized catabolic gene clusters putatively involved in aromatic compound metabolism increased expression in response to DBF. In addition, only very few transposon insertions completely abolished growth on DBF. Some of those (e.g., in dxnA1) were expected, whereas others (in a gene cluster for phenylacetate degradation) were not. Both transcriptomic data and transposon screening suggest operation of multiple redundant and parallel aromatic pathways, depending on DBF exposure. In addition, increased expression of other non-catabolic genes suggests that during initial exposure, S. wittichii RW1 perceives DBF as a stressor, whereas after longer exposure, the compound is recognized as a carbon source and metabolized using several pathways in parallel.

Tissue microarray and immunohistochemistry as tools for evaluation of antibodies against Chlamydia-like bacteria.

Tissue microarray technology was used to establish immunohistochemistry protocols and to determine the specificity of new antisera against various Chlamydia-like bacteria for future use on formalin-fixed and paraffin-embedded tissues. The antisera exhibited strong reactivity against autologous antigen and closely related heterologous antigen, but no cross-reactivity with distantly related species.

Long-range heterogeneity at the 3' ends of human mRNAs.

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.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.

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.

Functional analysis: evaluation of response intensities--tailoring ANOVA for lists of expression subsets.

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.

What Was I Thinking? Eye-Tracking Experiments Underscore the Bias that Architecture Exerts on Nuclear Grading in Prostate Cancer.

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.

Tree-based message diffusion for managing replicated data in unreliable and resource-constrained peer-to-peer environment

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.

Jasmonate controls polypeptide patterning in undamaged tissue in wounded Arabidopsis leaves.

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.

Functional analysis of a conserved DNA methyltransferase in caulobacter crescentus

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.

Size-dependent predation by Dugesia lugubris (Turbellaria) on Physa acuta (Gastropoda): experiments and model

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.