Gene expression databases and data mining.

The DNA microarray technology has arguably caught the attention of the worldwide life science community and is now systematically supporting major discoveries in many fields of study. The majority of the initial technical challenges of conducting experiments are being resolved, only to be replaced with new informatics hurdles, including statistical analysis, data visualization, interpretation, and storage. Two systems of databases, one containing expression data and one containing annotation data are quickly becoming essential knowledge repositories of the research community. This present paper surveys several databases, which are considered "pillars" of research and important nodes in the network. This paper focuses on a generalized workflow scheme typical for microarray experiments using two examples related to cancer research. The workflow is used to reference appropriate databases and tools for each step in the process of array experimentation. Additionally, benefits and drawbacks of current array databases are addressed, and suggestions are made for their improvement.

Modular analysis of gene expression data with R.

SUMMARY: Large sets of data, such as expression profiles from many samples, require analytic tools to reduce their complexity. The Iterative Signature Algorithm (ISA) is a biclustering algorithm. It was designed to decompose a large set of data into so-called 'modules'. In the context of gene expression data, these modules consist of subsets of genes that exhibit a coherent expression profile only over a subset of microarray experiments. Genes and arrays may be attributed to multiple modules and the level of required coherence can be varied resulting in different 'resolutions' of the modular mapping. In this short note, we introduce two BioConductor software packages written in GNU R: The isa2 package includes an optimized implementation of the ISA and the eisa package provides a convenient interface to run the ISA, visualize its output and put the biclusters into biological context. Potential users of these packages are all R and BioConductor users dealing with tabular (e.g. gene expression) data. AVAILABILITY: http://www.unil.ch/cbg/ISA CONTACT: sven.bergmann@unil.ch

Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'.

Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cross-species studies, in particular, have the power of identifying conserved, functionally important molecular processes. Validation of discoveries can now often be performed in readily available public data which frequently requires cross-platform studies.Cross-platform and cross-species analyses require matching probes on different microarray formats. This can be achieved using the information in microarray annotations and additional molecular biology databases, such as orthology databases. Although annotations and other biological information are stored using modern database models ( e. g. relational), they are very often distributed and shared as tables in text files, i.e. flat file databases. This common flat database format thus provides a simple and robust solution to flexibly integrate various sources of information and a basis for the combined analysis of heterogeneous gene expression profiles.Results: We provide annotationTools, a Bioconductor-compliant R package to annotate microarray experiments and integrate heterogeneous gene expression profiles using annotation and other molecular biology information available as flat file databases. First, annotationTools contains a specialized set of functions for mining this widely used database format in a systematic manner. It thus offers a straightforward solution for annotating microarray experiments. Second, building on these basic functions and relying on the combination of information from several databases, it provides tools to easily perform cross-species analyses of gene expression data.Here, we present two example applications of annotationTools that are of direct relevance for the analysis of heterogeneous gene expression profiles, namely a cross-platform mapping of probes and a cross-species mapping of orthologous probes using different orthology databases. We also show how to perform an explorative comparison of disease-related transcriptional changes in human patients and in a genetic mouse model.Conclusion: The R package annotationTools provides a simple solution to handle microarray annotation and orthology tables, as well as other flat molecular biology databases. Thereby, it allows easy integration and analysis of heterogeneous microarray experiments across different technological platforms or species.

eVOC: a controlled vocabulary for unifying gene expression data.

Expression data contribute significantly to the biological value of the sequenced human genome, providing extensive information about gene structure and the pattern of gene expression. ESTs, together with SAGE libraries and microarray experiment information, provide a broad and rich view of the transcriptome. However, it is difficult to perform large-scale expression mining of the data generated by these diverse experimental approaches. Not only is the data stored in disparate locations, but there is frequent ambiguity in the meaning of terms used to describe the source of the material used in the experiment. Untangling semantic differences between the data provided by different resources is therefore largely reliant on the domain knowledge of a human expert. We present here eVOC, a system which associates labelled target cDNAs for microarray experiments, or cDNA libraries and their associated transcripts with controlled terms in a set of hierarchical vocabularies. eVOC consists of four orthogonal controlled vocabularies suitable for describing the domains of human gene expression data including Anatomical System, Cell Type, Pathology and Developmental Stage. We have curated and annotated 7016 cDNA libraries represented in dbEST, as well as 104 SAGE libraries,with expression information,and provide this as an integrated, public resource that allows the linking of transcripts and libraries with expression terms. Both the vocabularies and the vocabulary-annotated libraries can be retrieved from http://www.sanbi.ac.za/evoc/. Several groups are involved in developing this resource with the aim of unifying transcript expression information.

The direct effects of tacrolimus and cyclosporin A on isolated human islets: A functional, survival and gene expression study.

The use of immunosuppressive drugs in transplanted patients is associated with the development of diabetes, possibly due to β-cell toxicity. To better understand the mechanisms leading to post-transplant diabetes, we investigated the actions of prolonged exposure of isolated human islets to therapeutical levels of tacrolimus (Tac) or cyclosporin A (CsA). Islets were isolated from the pancreas of multiorgan donors by enzymatic digestion and density gradient centrifugation. Functional, survival and molecular studies were then performed after 4 days of incubation with therapeutical concentrations of Tac or  CsA. Glucose-induced insulin secretion was significantly decreased in Tac, but not in CsA exposed islets, which was associated with a reduction of the amount of insulin granules as shown by electron microscopy. The percentage of apoptotic β-cells was higher in Tac than CsA exposed islets. Microarray experiments followed by Gene Set Enrichment Analysis revealed that gene expression was more markedly affected upon Tac treatment. In conclusion, Tac and CsA affect features of beta-cell differently, with several changes occurring at the molecular level.

IQRray, a new method for Affymetrix microarray quality control, and the homologous organ conservation score, a new benchmark method for quality control metrics.

MOTIVATION: Microarray results accumulated in public repositories are widely reused in meta-analytical studies and secondary databases. The quality of the data obtained with this technology varies from experiment to experiment, and an efficient method for quality assessment is necessary to ensure their reliability. RESULTS: The lack of a good benchmark has hampered evaluation of existing methods for quality control. In this study, we propose a new independent quality metric that is based on evolutionary conservation of expression profiles. We show, using 11 large organ-specific datasets, that IQRray, a new quality metrics developed by us, exhibits the highest correlation with this reference metric, among 14 metrics tested. IQRray outperforms other methods in identification of poor quality arrays in datasets composed of arrays from many independent experiments. In contrast, the performance of methods designed for detecting outliers in a single experiment like Normalized Unscaled Standard Error and Relative Log Expression was low because of the inability of these methods to detect datasets containing only low-quality arrays and because the scores cannot be directly compared between experiments. AVAILABILITY AND IMPLEMENTATION: The R implementation of IQRray is available at: ftp://lausanne.isb-sib.ch/pub/databases/Bgee/general/IQRray.R. CONTACT: Marta.Rosikiewicz@unil.ch SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models.

BACKGROUND: Zebrafish is a clinically-relevant model of heart regeneration. Unlike mammals, it has a remarkable heart repair capacity after injury, and promises novel translational applications. Amputation and cryoinjury models are key research tools for understanding injury response and regeneration in vivo. An understanding of the transcriptional responses following injury is needed to identify key players of heart tissue repair, as well as potential targets for boosting this property in humans. RESULTS: We investigated amputation and cryoinjury in vivo models of heart damage in the zebrafish through unbiased, integrative analyses of independent molecular datasets. To detect genes with potential biological roles, we derived computational prediction models with microarray data from heart amputation experiments. We focused on a top-ranked set of genes highly activated in the early post-injury stage, whose activity was further verified in independent microarray datasets. Next, we performed independent validations of expression responses with qPCR in a cryoinjury model. Across in vivo models, the top candidates showed highly concordant responses at 1 and 3 days post-injury, which highlights the predictive power of our analysis strategies and the possible biological relevance of these genes. Top candidates are significantly involved in cell fate specification and differentiation, and include heart failure markers such as periostin, as well as potential new targets for heart regeneration. For example, ptgis and ca2 were overexpressed, while usp2a, a regulator of the p53 pathway, was down-regulated in our in vivo models. Interestingly, a high activity of ptgis and ca2 has been previously observed in failing hearts from rats and humans. CONCLUSIONS: We identified genes with potential critical roles in the response to cardiac damage in the zebrafish. Their transcriptional activities are reproducible in different in vivo models of cardiac injury.

Competitive ability not kinship affects growth of Arabidopsis thaliana accessions.

In many organisms, individuals behave more altruistically towards relatives than towards unrelated individuals. Here, we conducted a study to determine if the performance of Arabidopsis thaliana is influenced by whether individuals are in competition with kin or non-kin. We selected seven pairs of genetically distinct accessions that originated from local populations throughout Europe. We measured the biomass of one focal plant surrounded by six kin or non-kin neighbours in in vitro growth experiments and counted the number of siliques produced per pot by one focal plant surrounded by four kin or non-kin neighbours. The biomass and number of siliques of a focal plant were not affected by the relatedness of the neighbour. Depending on the accession, a plant performed better or worse in a pure stand than when surrounded by non-kin plants. In addition, whole-genome microarray analyses revealed that there were no genes differentially expressed between kin and non-kin conditions. In conclusion, our study does not provide any evidence for a differential response to kin vs non-kin in A. thaliana. Rather, the outcome of the interaction between kin and non-kin seems to depend on the strength of the competitive abilities of the accessions.

Versatile gene-specific sequence tags for Arabidopsis functional genomics: transcript profiling and reverse genetics applications.

Microarray transcript profiling and RNA interference are two new technologies crucial for large-scale gene function studies in multicellular eukaryotes. Both rely on sequence-specific hybridization between complementary nucleic acid strands, inciting us to create a collection of gene-specific sequence tags (GSTs) representing at least 21,500 Arabidopsis genes and which are compatible with both approaches. The GSTs were carefully selected to ensure that each of them shared no significant similarity with any other region in the Arabidopsis genome. They were synthesized by PCR amplification from genomic DNA. Spotted microarrays fabricated from the GSTs show good dynamic range, specificity, and sensitivity in transcript profiling experiments. The GSTs have also been transferred to bacterial plasmid vectors via recombinational cloning protocols. These cloned GSTs constitute the ideal starting point for a variety of functional approaches, including reverse genetics. We have subcloned GSTs on a large scale into vectors designed for gene silencing in plant cells. We show that in planta expression of GST hairpin RNA results in the expected phenotypes in silenced Arabidopsis lines. These versatile GST resources provide novel and powerful tools for functional genomics.

Design and analysis of ChIP-Seq experiments for nuclear factor I DNA-binding proteins

SUMMARY : Eukaryotic DNA interacts with the nuclear proteins using non-covalent ionic interactions. Proteins can recognize specific nucleotide sequences based on the sterical interactions with the DNA and these specific protein-DNA interactions are the basis for many nuclear processes, e.g. gene transcription, chromosomal replication, and recombination. New technology termed ChIP-Seq has been recently developed for the analysis of protein-DNA interactions on a whole genome scale and it is based on immunoprecipitation of chromatin and high-throughput DNA sequencing procedure. ChIP-Seq is a novel technique with a great potential to replace older techniques for mapping of protein-DNA interactions. In this thesis, we bring some new insights into the ChIP-Seq data analysis. First, we point out to some common and so far unknown artifacts of the method. Sequence tag distribution in the genome does not follow uniform distribution and we have found extreme hot-spots of tag accumulation over specific loci in the human and mouse genomes. These artifactual sequence tags accumulations will create false peaks in every ChIP-Seq dataset and we propose different filtering methods to reduce the number of false positives. Next, we propose random sampling as a powerful analytical tool in the ChIP-Seq data analysis that could be used to infer biological knowledge from the massive ChIP-Seq datasets. We created unbiased random sampling algorithm and we used this methodology to reveal some of the important biological properties of Nuclear Factor I DNA binding proteins. Finally, by analyzing the ChIP-Seq data in detail, we revealed that Nuclear Factor I transcription factors mainly act as activators of transcription, and that they are associated with specific chromatin modifications that are markers of open chromatin. We speculate that NFI factors only interact with the DNA wrapped around the nucleosome. We also found multiple loci that indicate possible chromatin barrier activity of NFI proteins, which could suggest the use of NFI binding sequences as chromatin insulators in biotechnology applications. RESUME : L'ADN des eucaryotes interagit avec les protéines nucléaires par des interactions noncovalentes ioniques. Les protéines peuvent reconnaître les séquences nucléotidiques spécifiques basées sur l'interaction stérique avec l'ADN, et des interactions spécifiques contrôlent de nombreux processus nucléaire, p.ex. transcription du gène, la réplication chromosomique, et la recombinaison. Une nouvelle technologie appelée ChIP-Seq a été récemment développée pour l'analyse des interactions protéine-ADN à l'échelle du génome entier et cette approche est basée sur l'immuno-précipitation de la chromatine et sur la procédure de séquençage de l'ADN à haut débit. La nouvelle approche ChIP-Seq a donc un fort potentiel pour remplacer les anciennes techniques de cartographie des interactions protéine-ADN. Dans cette thèse, nous apportons de nouvelles perspectives dans l'analyse des données ChIP-Seq. Tout d'abord, nous avons identifié des artefacts très communs associés à cette méthode qui étaient jusqu'à présent insoupçonnés. La distribution des séquences dans le génome ne suit pas une distribution uniforme et nous avons constaté des positions extrêmes d'accumulation de séquence à des régions spécifiques, des génomes humains et de la souris. Ces accumulations des séquences artéfactuelles créera de faux pics dans toutes les données ChIP-Seq, et nous proposons différentes méthodes de filtrage pour réduire le nombre de faux positifs. Ensuite, nous proposons un nouvel échantillonnage aléatoire comme un outil puissant d'analyse des données ChIP-Seq, ce qui pourraient augmenter l'acquisition de connaissances biologiques à partir des données ChIP-Seq. Nous avons créé un algorithme d'échantillonnage aléatoire et nous avons utilisé cette méthode pour révéler certaines des propriétés biologiques importantes de protéines liant à l'ADN nommés Facteur Nucléaire I (NFI). Enfin, en analysant en détail les données de ChIP-Seq pour la famille de facteurs de transcription nommés Facteur Nucléaire I, nous avons révélé que ces protéines agissent principalement comme des activateurs de transcription, et qu'elles sont associées à des modifications de la chromatine spécifiques qui sont des marqueurs de la chromatine ouverte. Nous pensons que lés facteurs NFI interagir uniquement avec l'ADN enroulé autour du nucléosome. Nous avons également constaté plusieurs régions génomiques qui indiquent une éventuelle activité de barrière chromatinienne des protéines NFI, ce qui pourrait suggérer l'utilisation de séquences de liaison NFI comme séquences isolatrices dans des applications de la biotechnologie.

Dibenzofuran degradation by Sphingomonas wittichii RW1 under environmental stresses

Sphingomonas wittichii is a gram-negative Alpha-proteobacterium, capable of degrading xenobiotic compounds such as dibenzofuran (DBF), dibenzo-p-dioxin, carbazole, 2-hydroxybiphenyl or nitro diphenyl ether herbicides. The metabolism of strain RW1 has been the subject of previous studies and a number of genes involved in DBF degradation have been characterized. It is known that RW1 posseses a unique initial DBF dioxygenase (encoded by the dxnAl gene) that catalyzes the first step in the degradation pathway. None of the organisms known to be able to degrade DBF have a similar dioxygenase, the closest match being the DBF dioxygenase from Rhodococcus sp. with an overall amino acid similarity of 45%. Genes participating in the conversion of the metabolite salicylate via the ortho-cleavage pathway to TCA cycle intermediates were identified as well. Apart from this scarce information, however, there is a lack of global knowledge on the genes that are involved in DBF degradation by strain RW1 and the influence of environmental stresses on DBF-dependent global gene expression. A global analysis is necessary, because it may help to better understand the behaviour of the strain under field conditions and suggest improvements for the current bioaugmentation practice. Chapter 2 describes the results of whole-genome analysis to characterize the genes involved in DBF degradation by RW1. Micro-array analysis allowed us to detect differences in gene transcription when strain RW1 was exposed to DBF. This was complemented by ultra-high throughput sequencing of mutants no longer capable of growing on salicylate and DBF. Some of the genes of the ortho-cleavage pathway were induced 2 to 4 times in the presence of DBF, as well as the initial DBF dioxygenase. However two gene clusters, named 4925 and 5102 were induced up to 19 times in response to DBF induction. The cluster 4925 is putatively participating in a meta-cleavage pathway while the cluster 5102 might be part of a gentisate pathway. The three pathways, ortho-cleavage, meta-cleavage and gentisate pathway seem to be active in parallel when strain RW1 is exposed to DBF, presenting evidence for a redundancy of genes for DBF degradation in the genome of RW1. Chapter 3 focuses on exploiting genetic tools to construct bioreporters representative for DBF degradation in RW1. A set of basic tools for genetic manipulation in Sphingomonas wittichii RW1 was tested and optimized. Both plasmids and mini-transposons were evaluated for their ability to be maintained in RW1 with or without antibiotic selection pressure, and for their ability to lead to fluorescent protein expression in strain RW1 from a constitutive promoter. Putative promoter regions of three of the previously found DBF-induced genes (Swit_4925, Swit_5102 and Swit_4897-dxnAl) were then used to construct eg/^-bioreporters in RW1. Chapter 4 describes the use of the constructed RW1-based bioreporter strains for examining the expression of the DBF degradation pathway genes under microcosm conditions. The bioreporter strains were first exposed to different carbon sources in liquid culture to calibrate the egfp induction. Contrary to our expectations from micro-array analysis only the construct with the promoter from gene cluster 4925 responded to DBF, whereas the other two constructs did not show specific induction with DBF. The response from the bioreporters was subsequently tested for sensitivity to water stress, given that this could have an important impact in soils. Exposure to liquid cultures with decreasing water potential, achieved by NaCl or PEG addition to the growth media, showed that eGFP expression in RW1 from the promoter regions 4925 and 5102 was not directly influenced by water stress, but only through an overall reduction in growth rate. In contrast, expression of eGFP from the dxnAl or an uspA promoter was also directly dependent on the extent of water stress. The RW1 with the 4925 construct was subsequently used in soil microcosms to evaluate DBF bioavailability to the cells in presence or absence of native microbiota or other contaminated material. We found that RW1 could grow on DBF added to soil, but bioreporter expression suggested that competition with native microbiota for DBF intermediates may limit its ability to proliferate to a maximum. Chapter 5 describes the results from the experiments carried out to more specifically detect genes of RW1 that might be implicated in water stress resistance. Hereto we created transposon mutagenesis libraries in RW1, either with a classical mini-Tn5 or with a variant that would express egfp when the transposon would insert in a gene induced under water stress. Classical mutant libraries were screened by replica plating under high and low water stress conditions (achieved by adding NaCl to the agar medium). In addition, we screened for smaller microcolonies formed by mutants in agarose beads that could be analized with flow cytometry. A number of mutants impaired to grow on NaCl-supplemented media were recovered and the transposon insertion sites sequenced. In a second procedure we screened by flow cytometry for mutants with a higher eGFP production after exposure to growth medium with higher NaCl concentrations. Mutants from both libraries rarely overlapped. Discovered gene functions of the transposon insertions pointed to compatible solute synthesis (glutamate and proline), cell membrane synthesis and modification of cell membrane composition. The results obtained in the present study give us a more complete picture of the mechanisms of DBF degradation by S. wittichii RW1, how it reacts to different DBF availability and how the DBF catabolic activity may be affected by the conditions found in contaminated environments. - Sphingomonas wittichii est une alpha-protéobactérie gram-négative, capable de dégrader des composés xénobiotiques tels que le dibenzofurane (DBF), la dibenzo-p-dioxine, le carbazole, le 2-hydroxybiphényle ou les herbicides dérivés du nitro-diphényléther. Le métabolisme de la souche RW1 a fait l'objet d'études antérieures et un certain nombre de gènes impliqués dans la dégradation du DBF ont été caractérisés. Il est connu que RW1 possède une unique dioxygénase DBF initiale (codée par le gène dxnAl) qui catalyse la première étape de la voie de dégradation. Aucun des organismes connus pour être capables de dégrader le DBF n'a de dioxygénase similaire. L'enzyme la plus proche étant la DBF dioxygénase de Rhodococcus sp. avec 45% d'acides aminés conservés. Les gènes qui participent à la transformation du salicylate en métabolites intermédiaires du cycle de Krebs par la voie ort/io-cleavage ont aussi été identifiés. Outre ces informations lacunaires, il y a un manque de connaissances sur l'ensemble des gènes impliqués dans la dégradation du DBF par la souche RW1 ainsi que l'effet des stress environnementaux sur l'expression génétique globale, en présence du DBF. Une analyse globale est nécessaire, car elle peut aider à mieux comprendre le comportement de la souche dans les conditions de terrain et de proposer des améliorations pour l'utilisation de la bio-augmentation comme technique de bio-remédiation. Le chapitre 2 décrit les résultats de l'analyse du génome pour caractériser les gènes impliqués dans la dégradation du DBF par RW1. Une analyse de micro-arrays nous a permis de détecter des différences dans la transcription des gènes lorsque la souche RW1 a été exposée au DBF. L'analyse a été complétée par le criblage à ultra-haut débit de mutants qui n'étaient plus capables de croître avec le salicylate ou le DBF comme seule source de carbone. Certains des gènes de la voie ortho-cleavage, dont la DBF dioxygénase initiale, ont xî été induits 2 à 4 fois, en présence du DBF. Cependant, deux groupes de gènes, nommés 4925 et 5102 ont été induits jusqu'à 19 fois en réponse au DBF. Le cluster 4925 participe probablement dans une voie de meta-cleavage tandis que le cluster 5102 pourrait faire partie d'une voie du gentisate. Les trois voies, ortho-cleavage, meta-cleavage et la voie du gentisate semblent être activées en parallèle lorsque la souche RW1 est exposée au DBF, ce qui représente une redondance de voies pour la dégradation du DBF dans le génome de RW1. Le chapitre 3 se concentre sur l'exploitation des outils génétiques pour la construction de biorapporteurs de la dégradation du DBF par RW1. Un ensemble d'outils de base pour la manipulation génétique dans Sphingomonas wittichii RW1 a été testé et optimisé. Deux plasmides et mini-transposons ont été évalués pour leur capacité à être maintenu dans RW1 avec ou sans pression de sélection par des antibiotiques, et pour leur capacité à exprimer la protéine fluorescente verte (eGFP) dans la souche RW1. Les trois promoteurs des gènes Swit_4925, Swit_5102 et Swit_4897 (dxnAl), induits en réponse au DBF, ont ensuite été utilisés pour construire des biorapporteurs dans RW1. Le chapitre 4 décrit l'utilisation des souches biorapportrices construites pour l'analyse de l'expression des gènes de la voie de dégradation du DBF dans des microcosmes avec différents types de sols. Les souches biorapportrices ont d'abord été exposées à différentes sources de carbone en cultures liquides afin de calibrer l'induction de la eGFP. La construction avec le promoteur du gène 4925 a permis une réponse au DBF. Mais contrairement à nos attentes, basées sur les résultats de l'analyse des micro-arrays, les deux autres constructions n'ont pas montré d'induction spécifique au DBF. La réponse des biorapporteurs a ensuite été testée pour la sensibilité au stress hydrique, étant donné que cela pourrait avoir un impact important dans les microcosmes. La diminution du potentiel hydrique en culture liquide est obtenue par addition de NaCl ou de PEG au milieu de croissance. Nous avons montré que l'expression de la eGFP contrôlée par les promoteurs 4925 et 5102 n'était pas directement influencée par le stress hydrique, mais seulement par une réduction globale des taux de croissance. En revanche, l'expression de la eGFP dépendante des promoteurs dxnAl et uspA était aussi directement dépendante de l'ampleur du stress hydrique. La souche avec la construction 4925 a été utilisée par la suite dans des microcosmes avec différents types de sols pour évaluer la biodisponibilité du DBF en présence ou absence des microbes indigènes et d'autres composés contaminants. Nous avons constaté que RW1 pouvait se développer si le DBF a été ajouté au sol, mais l'expression de la eGFP par le biorapporteur suggère que la compétition avec la microbiota indigène pour les métabolites intermédiaires du DBF peut limiter sa capacité à proliférer de manière optimale. Le chapitre 5 décrit les résultats des expériences réalisées afin de détecter spécifiquement les gènes de RW1 qui pourraient être impliquées dans la résistance au stress hydrique. Ici on a crée des bibliothèques de mutants de RW1 par transposon, soit avec un mini-Tn5 classique ou avec une variante qui exprime la eGFP lorsque le transposon s'insère dans un gène induit par le stress hydrique. Les bibliothèques de mutants ont été criblées par la méthode classique de repiquage sur boîtes, dans des conditions de stress hydrique élevé (obtenu par l'addition de NaCl dans les boîtes). En outre, nous avons criblé des micro¬colonies dans des billes d'agarose qui ont pu être analysées par cytométrie de flux. Un certain nombre de mutants déficients à croître sur des milieux supplémentés avec du NaCl ont été isolés et les sites d'insertion du transposon séquencés. Dans une deuxième procédure nous avons criblé par cytométrie de flux des mutants avec une production de eGFP supérieure, après exposition à un milieu de croissance avec une concentration élevée de NaCl. Les mutants obtenus dans les deux bibliothèques n'étaient pas similaires. Les fonctions des gènes où se trouvent les insertions de transposons sont impliqués dans la synthèse de solutés compatibles (glutamate et de la proline), dans la synthèse de la membrane cellulaire et dans la modification de la composition de la membrane cellulaire. Les résultats obtenus dans la présente étude nous donnent une image plus complète des mécanismes de dégradation du DBF par S. wittichii RW1, comment cette souche réagit à la disponibilité du DBF et comment l'activité catabolique peut être affectée par les conditions rencontrées dans des environnements contaminés.

Warming experiments underpredict plant phenological responses to climate change.

Warming experiments are increasingly relied on to estimate plant responses to global climate change. For experiments to provide meaningful predictions of future responses, they should reflect the empirical record of responses to temperature variability and recent warming, including advances in the timing of flowering and leafing. We compared phenology (the timing of recurring life history events) in observational studies and warming experiments spanning four continents and 1,634 plant species using a common measure of temperature sensitivity (change in days per degree Celsius). We show that warming experiments underpredict advances in the timing of flowering and leafing by 8.5-fold and 4.0-fold, respectively, compared with long-term observations. For species that were common to both study types, the experimental results did not match the observational data in sign or magnitude. The observational data also showed that species that flower earliest in the spring have the highest temperature sensitivities, but this trend was not reflected in the experimental data. These significant mismatches seem to be unrelated to the study length or to the degree of manipulated warming in experiments. The discrepancy between experiments and observations, however, could arise from complex interactions among multiple drivers in the observational data, or it could arise from remediable artefacts in the experiments that result in lower irradiance and drier soils, thus dampening the phenological responses to manipulated warming. Our results introduce uncertainty into ecosystem models that are informed solely by experiments and suggest that responses to climate change that are predicted using such models should be re-evaluated.

Iterative reconstruction methods in two different MDCT scanners: Physical metrics and 4-alternative forced-choice detectability experiments - A phantom approach.

This paper characterizes and evaluates the potential of three commercial CT iterative reconstruction methods (ASIR?, VEO? and iDose(4 ()?())) for dose reduction and image quality improvement. We measured CT number accuracy, standard deviation (SD), noise power spectrum (NPS) and modulation transfer function (MTF) metrics on Catphan phantom images while five human observers performed four-alternative forced-choice (4AFC) experiments to assess the detectability of low- and high-contrast objects embedded in two pediatric phantoms. Results show that 40% and 100% ASIR as well as iDose(4) levels 3 and 6 do not affect CT number and strongly decrease image noise with relative SD constant in a large range of dose. However, while ASIR produces a shift of the NPS curve apex, less change is observed with iDose(4) with respect to FBP methods. With second-generation iterative reconstruction VEO, physical metrics are even further improved: SD decreased to 70.4% at 0.5 mGy and spatial resolution improved to 37% (MTF(50%)). 4AFC experiments show that few improvements in detection task performance are obtained with ASIR and iDose(4), whereas VEO makes excellent detections possible even at an ultra-low-dose (0.3 mGy), leading to a potential dose reduction of a factor 3 to 7 (67%-86%). In spite of its longer reconstruction time and the fact that clinical studies are still required to complete these results, VEO clearly confirms the tremendous potential of iterative reconstructions for dose reduction in CT and appears to be an important tool for patient follow-up, especially for pediatric patients where cumulative lifetime dose still remains high.

Protein-Binding Microarray Analysis of Tumor Suppressor AP2α Target Gene Specificity.

Cheap and massively parallel methods to assess the DNA-binding specificity of transcription factors are actively sought, given their prominent regulatory role in cellular processes and diseases. Here we evaluated the use of protein-binding microarrays (PBM) to probe the association of the tumor suppressor AP2α with 6000 human genomic DNA regulatory sequences. We show that the PBM provides accurate relative binding affinities when compared to quantitative surface plasmon resonance assays. A PBM-based study of human healthy and breast tumor tissue extracts allowed the identification of previously unknown AP2α target genes and it revealed genes whose direct or indirect interactions with AP2α are affected in the diseased tissues. AP2α binding and regulation was confirmed experimentally in human carcinoma cells for novel target genes involved in tumor progression and resistance to chemotherapeutics, providing a molecular interpretation of AP2α role in cancer chemoresistance. Overall, we conclude that this approach provides quantitative and accurate assays of the specificity and activity of tumor suppressor and oncogenic proteins in clinical samples, interfacing genomic and proteomic assays.

Selecting control genes for RT-QPCR using public microarray data.

Background: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several control genes (e. g. housekeeping genes), from which a baseline reference level is constructed. Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones. Results: We propose a novel approach for scoring and ranking candidate genes for their suitability as control genes. Our approach relies on publicly available microarray data and allows the combination of multiple data sets originating from different platforms and/or representing different pathologies. The use of microarray data allows the screening of tens of thousands of genes, producing very comprehensive lists of candidates. We also provide two lists of candidate control genes: one which is breast cancer-specific and one with more general applicability. Two genes from the breast cancer list which had not been previously used as control genes are identified and validated by RT-QPCR. Open source R functions are available at http://www.isrec.isb-sib.ch/similar to vpopovic/research/ Conclusion: We proposed a new method for identifying candidate control genes for RT-QPCR which was able to rank thousands of genes according to some predefined suitability criteria and we applied it to the case of breast cancer. We also empirically showed that translating the results from microarray to PCR platform was achievable.